Tesis sobre el tema "Communications de type machine"
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Abbas, Rana. "Multiple Access for Massive Machine Type Communications". Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18094.
Texto completoBecirovic, Ema. "On Massive MIMO for Massive Machine-Type Communications". Licentiate thesis, Linköpings universitet, Kommunikationssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162586.
Texto completoWang, Shendi. "Efficient transmission design for machine type communications in future wireless communication systems". Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/23647.
Texto completoZhou, Kaijie. "Technique d'accès pour la communication machine-à-machine dans LTE/LTE-A". Thesis, Paris, ENST, 2013. http://www.theses.fr/2013ENST0076/document.
Texto completoMachine type communications is seen as a form of data communication, among devices and/or from devices to a set of servers, that do not necessarily require human interaction. However, it is challenging to accommodate MTC in LTE as a result of its specific characteristics and requirements. The aim of this thesis is to propose mechanisms and optimize the access layer techniques for MTC in LTE. For uplink access, we propose two methods to improve the performance of random access in terms of latency: a packet aggregation method and a Transmission Time Interval bundling scheme. To further reduce the uplink latency and enable massive number of connected device, we propose a new contention based access method (CBA) to bypass both the redundant signaling in the random access procedure and also the latency of regular scheduling. For downlink reception, we propose two methods to analyze the performance of discontinuous reception DRX mode for MTC applications: the first with the Poisson distribution and the second with the Pareto distribution for sporadic traffic. With the proposed models, the power saving factor and wake up latency can be accurately estimated for a given choice of DRX parameters, thus allowing to select the ones presenting the optimal tradeoff
Abrignani, Melchiorre Danilo <1986>. "Heterogeneous Networks for the IoT and Machine Type Communications". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7539/1/Thesis.pdf.
Texto completoAbrignani, Melchiorre Danilo <1986>. "Heterogeneous Networks for the IoT and Machine Type Communications". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7539/.
Texto completoDe, Boni Rovella Gastón. "Solutions de décodage canal basées sur l'apprentissage automatique pour les communications de type machine-à-machine". Electronic Thesis or Diss., Toulouse, ISAE, 2024. http://www.theses.fr/2024ESAE0065.
Texto completoIn this Ph.D. thesis, we explore machine learning-based solutions for channel decoding in Machine-to-Machine type communications, where achieving ultra-reliable low-latency communications (URLLC) is essential. Their primary issue arises from the exponential growth in the decoder's complexity as the packet size increases. This "curse of dimensionality" manifests itself in three different aspects: i) the number of correctable noise patterns, ii) the codeword space to be explored, and iii) the number of trainable parameters in the models. To address the first limitation, we explore solutions based on a Support Vector Machine (SVM) framework and suggest a bitwise SVM approach that significantly reduces the complexity of existing SVM-based solutions. To tackle the second limitation, we investigate syndrome-based neural decoders and introduce a novel message-oriented decoder, which improves on existing schemes both in the decoder architecture and in the choice of the parity check matrix. Regarding the neural network size, we develop a recurrent version of a transformer-based decoder, which reduces the number of parameters while maintaining efficiency, compared to previous neural-based solutions. Lastly, we extend the proposed decoder to support higher-order modulations through Bit-Interleaved and generic Coded Modulations (BICM and CM, respectively), aiding its application in more realistic communication environments
Qasmi, F. (Fahad). "On the performance of machine-type communications networks under Markovian arrival sources". Master's thesis, University of Oulu, 2018. http://jultika.oulu.fi/Record/nbnfioulu-201806052451.
Texto completoZhou, Kaijie. "Technique d'accès pour la communication machine-à-machine dans LTE/LTE-A". Electronic Thesis or Diss., Paris, ENST, 2013. http://www.theses.fr/2013ENST0076.
Texto completoMachine type communications is seen as a form of data communication, among devices and/or from devices to a set of servers, that do not necessarily require human interaction. However, it is challenging to accommodate MTC in LTE as a result of its specific characteristics and requirements. The aim of this thesis is to propose mechanisms and optimize the access layer techniques for MTC in LTE. For uplink access, we propose two methods to improve the performance of random access in terms of latency: a packet aggregation method and a Transmission Time Interval bundling scheme. To further reduce the uplink latency and enable massive number of connected device, we propose a new contention based access method (CBA) to bypass both the redundant signaling in the random access procedure and also the latency of regular scheduling. For downlink reception, we propose two methods to analyze the performance of discontinuous reception DRX mode for MTC applications: the first with the Poisson distribution and the second with the Pareto distribution for sporadic traffic. With the proposed models, the power saving factor and wake up latency can be accurately estimated for a given choice of DRX parameters, thus allowing to select the ones presenting the optimal tradeoff
Azari, Amin. "Energy Efficient Machine-Type Communications over Cellular Networks : A Battery Lifetime-Aware Cellular Network Design Framework". Licentiate thesis, KTH, Kommunikationssystem, CoS, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-194416.
Texto completoQC 20161103
Berglund, Joel. "Extended LTE Coverage For Indoor Machine Type Communication". Thesis, Linköpings universitet, Kommunikationssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94236.
Texto completoMuhammad, I. (Irfan). "Physical layer security for machine type communication networks". Master's thesis, University of Oulu, 2018. http://jultika.oulu.fi/Record/nbnfioulu-201809212821.
Texto completoNaddafzadeh, Shirazi Ghasem. "Optimization in wireless sensor and machine-type communication networks". Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/46658.
Texto completoTello, Oquendo Luis Patricio. "Design and Performance Analysis of Access Control Mechanisms for Massive Machine-to-Machine Communications in Wireless Cellular Networks". Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/107946.
Texto completoNowadays, Internet of Things (IoT) is an essential technology for the upcoming generation of wireless systems. Connectivity is the foundation for IoT, and the type of access required will depend on the nature of the application. One of the leading facilitators of the IoT environment is machine-to-machine (M2M) communication, and particularly, its tremendous potential to offer ubiquitous connectivity among intelligent devices. Cellular networks are the natural choice for emerging IoT and M2M applications. A major challenge in cellular networks is to make the network capable of handling massive access scenarios in which myriad devices deploy M2M communications. On the other hand, cellular systems have seen a tremendous development in recent decades; they incorporate sophisticated technology and algorithms to offer a broad range of services. The modeling and performance analysis of these large multi-service networks is also a challenging task that might require high computational effort. To address the above challenges, we first concentrate on the design and performance evaluation of novel access control schemes to deal with massive M2M communications. Then, we focus on the performance evaluation of large multi-service networks and propose a novel analytical technique that features accuracy and computational efficiency. Our main objective is to provide solutions to ease the congestion in the radio access or core network when massive M2M devices try to connect to the network. We consider the following two types of scenarios: (i) massive M2M devices connect directly to cellular base stations, and (ii) they form clusters and the data is forwarded to gateways that provide them with access to the infrastructure. In the first scenario, as the number of devices added to the network is constantly increasing, the network should handle the considerable increment in access requests. Access class barring (ACB) is proposed by the 3rd Generation Partnership Project (3GPP) as a practical congestion control solution in the radio access and core network. The proper tuning of the ACB parameters according to the traffic intensity is critical, but how to do so dynamically and autonomously is a challenging task that has not been specified. Thus, this dissertation contributes to the performance analysis and optimal design of novel algorithms to implement effectively this barring scheme and overcome the challenges introduced by massive M2M communications. In the second scenario, since the heterogeneity of IoT devices and the hardware-based cellular architectures impose even greater challenges to enable flexible and efficient communication in 5G wireless systems, this dissertation also contributes to the design of software-defined gateways (SD-GWs) in a new architecture proposed for wireless software-defined networks called SoftAir. The deployment of these SD-GWs represents an alternative solution aiming at handling both a vast number of devices and the volume of data they will be pouring into the network. Another contribution of this dissertation is to propose a novel technique for the performance analysis of large multi-service networks. The underlying complexity of the network, particularly concerning its size and the ample range of configuration options, makes the solution of the analytical models computationally costly. However, a typical characteristic of these networks is that they support multiple types of traffic flows operating at different time-scales. This time-scale separation can be exploited to reduce considerably the computational cost associated to determine the key performance indicators. Thus, we propose a novel analytical modeling approach based on the transient regime analysis, that we name absorbing Markov chain approximation (AMCA). For a given computational cost, AMCA finds common performance indicators with greater accuracy, when compared to the results obtained by other approximate methods proposed in the literature.
En l'actualitat, la Internet de les Coses (Internet of Things, IoT) és una tecnologia essencial per a la propera generació de sistemes sense fil. La connectivitat és la base d'IoT, i el tipus d'accés requerit dependrà de la naturalesa de l'aplicació. Un dels principals facilitadors de l'entorn IoT és la comunicació machine-to-machine (M2M) i, en particular, el seu enorme potencial per oferir connectivitat ubiqua entre dispositius intel · ligents. Les xarxes mòbils són l'elecció natural per a les aplicacions emergents de IoT i M2M. Un desafiament important en les xarxes mòbils que actualment está rebent molta atenció és aconseguir que la xarxa siga capaç de gestionar escenaris d'accés massiu en què una gran quantitat de dispositius utilitzen comunicacions M2M. D'altra banda, els sistemes mòbils han experimentat un gran desenvolupament en les últimes dècades: incorporen tecnologia sofisticada i nous algoritmes per oferir una àmplia gamma de serveis. El modelatge i análisi del rendiment d'aquestes xarxes multiservei és també un desafiament important que podria requerir un gran esforç computacional. Per abordar els desafiaments anteriors, en aquesta tesi doctoral ens centrem en primer lloc en el disseny i l'avaluació de les prestacions de nous mecanismes de control d'accés per fer front a les comunicacions massives M2M en xarxes cel · lulars. Posteriorment ens ocupem de l'avaluació de prestacions de xarxes multiservei i proposem una nova tècnica analítica que ofereix precisió i eficiència computacional. El nostre principal objectiu és proporcionar solucions per a alleujar la congestió a la xarxa d'accés ràdio quan un gran nombre de dispositius M2M intenten connectar-se a la xarxa. Considerem els dos tipus d'escenaris següents: (i) els dispositius M2M es connecten directament a les estacions base cel · lulars, i (ii) formen grups i les dades s'envien a concentradors de trànsit (gateways) que els proporcionen accés a la infraestructura. En el primer escenari, atès que el nombre de dispositius afegits a la xarxa augmenta contínuament, aquesta hauria de ser capaç de gestionar el considerable increment en les sol · licituds d'accés. El 3rd Generation Partnership Project (3GPP) ha proposat l'access class barring (ACB) com una solució pràctica per al control de congestió a la xarxa d'accès ràdio i la xarxa troncal. L'ajust correcte dels paràmetres d'ACB d'acord amb la intensitat del trànsit és crític, però com fer-ho de forma dinàmica i autònoma és un problema complex, la solució del qual no està recollida en les especificacions del 3GPP. Aquesta tesi doctoral contribueix a l'anàlisi del rendiment i al disseny de nous algoritmes que implementen efectivament aquest mecanisme, i així superar els desafiaments introduïts per les comunicacions massives M2M en les xarxes mòbils actuals i futures. En el segon escenari, atès que l'heterogeneïtat dels dispositius IoT i les arquitectures cel · lulars basades en hardware imposen desafiaments encara més grans per permetre una comunicació flexible i eficient en els sistemes sense fil 5G, aquesta tesi doctoral també contribueix al disseny de software-defined gateways (SD-GWS) en una nova arquitectura proposada per a xarxes sense fils definides per programari que s'anomena SoftAir. Això permet gestionar tant un gran nombre de dispositius com el volum de dades que estaran abocant a la xarxa. Una altra contribució d'aquesta tesi doctoral és la proposta d'una tècnica innovadora per a l'anàlisi de prestacions de xarxes multiservei d'alta capacitat que es basa en un nou enfocament del modelitzat analític de sistemes que operen a diferents escales temporals. Aquest enfocament utilitza l'anàlisi del transitori d'una sèrie de subcadenes absorbents i l'anomenem absorbing Markov chain Approximation (AMCA). Els nostres resultats mostren que per a un cost computacional donat, AMCA calcula els paràmetres de prestacions habituals d
Tello Oquendo, LP. (2018). Design and Performance Analysis of Access Control Mechanisms for Massive Machine-to-Machine Communications in Wireless Cellular Networks [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/107946
TESIS
Emenonye, Don-Roberts Ugochukwu. "Application of Machine Learning to Multi Antenna Transmission and Machine Type Resource Allocation". Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99956.
Texto completoMaster of Science
Wireless communication systems is a well researched area of engineering that has continually evolved over the past decades. This constant evolution and development has led to well formulated theoretical baselines in terms of reliability and efficiency. This two part thesis investigates the possibility of improving these wireless systems with machine learning. First, with the goal of designing more resilient codes for transmission, we propose to redesign the transmit and receive blocks of the physical layer. We focus on jointly optimizing the transmit and receive blocks to produce a set of transmit codes that are resilient to channel impairments. We compare our results to the current conventional codes for various transmit and receive antenna configuration. The second part of this work investigates the possibility of designing a distributed multi-access scheme for machine type devices. In this scheme, MTDs pseudo-randomly transmit their data by randomly selecting time slots. This results in the possibility of a large number of collisions occurring in the duration of these slots. To alleviate the resulting congestion, we employ a heterogeneous network and investigate the optimal MTD-BS association which minimizes the long term congestion experienced in the overall network. Our results show that we can derive the optimal MTD-BS algorithm when the number of MTDs is less than the total number of slots.
Woltering, Matthias [Verfasser]. "Factor Graph-based Receivers for Multi-Carrier Transmission in Two-Way Relaying and Massive Machine Type Communications / Matthias Woltering". Düren : Shaker, 2019. http://d-nb.info/1202218644/34.
Texto completoWu, Qinlin. "Narrowband IoT Networks with Unmanned Aerial Base Stations". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Buscar texto completoZayene, Mariem. "Cooperative data exchange for wireless networks : Delay-aware and energy-efficient approaches". Thesis, Limoges, 2019. http://www.theses.fr/2019LIMO0033/document.
Texto completoWith significantly growing number of smart low-power devices during recent years, the issue of energy efficiency has taken an increasingly essential role in the communication systems’ design. This thesis aims at designing distributed and energy efficient transmission schemes for wireless networks using game theory and instantly decodable network coding (IDNC) which is a promising network coding subclass. We study the cooperative data exchange (CDE) scenario in which all devices cooperate with each other by exchanging network coded packets until all of them receive all the required information. In fact, enabling the IDNC-based CDE setting brings several challenges such us how to extend the network lifetime and how to reduce the number of transmissions in order to satisfy urgent delay requirements. Therefore, unlike most of existing works concerning IDNC, we focus not only on the decoding delay, but also the consumed energy. First, we investigate the IDNC-based CDE problem within small fully connected networks across energy-constrained devices and model the problem using the cooperative game theory in partition form. We propose a distributed merge-and-split algorithm to allow the wireless nodes to self-organize into independent disjoint coalitions in a distributed manner. The proposed algorithm guarantees reduced energy consumption and minimizes the delay in the resulting clustered network structure. We do not only consider the transmission energy, but also the computational energy consumption. Furthermore, we focus on the mobility issue and we analyse how, in the proposed framework, nodes can adapt to the dynamic topology of the network. Thereafter, we study the IDNC-based CDE problem within large-scale partially connected networks. We considerate that each player uses no longer his maximum transmission power, rather, he controls his transmission range dynamically. In fact, we investigate multi-hop CDE using the IDNC at decentralized wireless nodes. In such model, we focus on how these wireless nodes can cooperate in limited transmission ranges without increasing the IDNC delay nor their energy consumption. For that purpose, we model the problem using a two-stage game theoretical framework. We first model the power control problem using non-cooperative game theory where users jointly choose their desired transmission power selfishly in order to reduce their energy consumption and their IDNC delay. The optimal solution of this game allows the players at the next stage to cooperate with each other through limited transmission ranges using cooperative game theory in partition form. Thereafter, a distributed multihop merge-and-split algorithm is defined to form coalitions where players maximize their utilities in terms of decoding delays and energy consumption. The solution of the proposed framework determines a stable feasible partition for the wireless nodes with reduced interference and reasonable complexity. We demonstrate that the co-operation between nodes in the multihop cooperative scheme achieves a significant minimization of the energy consumption with respect to the most stable cooperative scheme in maximum transmission range without hurting the IDNC delay
Hamdoun, Safa. "Algorithmes adaptatifs et efficaces de partage de ressources radio pour les communications de type MTC : cas de coexistence H2H/M2M". Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1096/document.
Texto completoThe Internet-of-Things (IoT) refers to the ever-growing network of everyday objects that interconnect to each other or to other Internet-enabled systems via wireless sensors attached to them. IoT envisions a future where billions of smart devices will be connected and managed through a range of communication networks and cloud-based servers, enabling a variety of monitoring and control applications. Machine-to-Machine (M2M) communications supported by cellular networks, also known as Machine-Type-Communications (MTC) acts as a key technology for partially enabling IoT. M2M communications is a new technology paradigm that facilitates the ubiquitous connectivity between a myriad of devices without requiring human intervention. The surge in the demand for connectivity has further challenged network operators to design novel radio resource allocation algorithms at affordable costs to handle the massive scale of MTC.Different from current radio access technologies tailored to traditional Human- to-Human (H2H) communications, the goal of this thesis is to provide novel efficient and adaptive radio resource sharing schemes for MTC under a H2H/M2M coexistence scenario. We first provide a suitable multiple access scheme to address the joint spectrum scarcity, scalability and Base Station (BS) overload issues. Toward this end, we design a group-based operation where MTC corresponds to local uplink communications between Machine-Type-Devices (MTDs), which represent a specific type of devices that do not rely on the presence of a human interface, and a Machine-Type-Head (MTH). This latter plays the role of a cluster head that relays the information to the BS. We thus address the need to aggregate M2M and Device-to-Device (D2D) technology, as one of the major components of the future evolving cellular networks. Having said that, we first propose in this thesis to model the radio resource sharing problem between MTDs and H2H users as a bipartite graph and develop a novel interference-aware graph-based radio resource sharing algorithm for MTC so as to mitigate the co-channel interference and thus enhance network efficiency. Moreover, low-complexity semi-distributed solution is investigated to alleviate the communication overhead of a centralized solution that we propose as well. Then, as a second contribution, we examine how M2M devices can share the available radio resources in cellular networks with no or limited impact on existing H2H services. Consequently, we propose a joint spectrally and power efficient radio resource sharing scheme. Convinced by the strength of the bipartite graph modeling for the resource sharing problem between H2H users and M2M devices, we empower the graph-based radio resource sharing algorithm with a novel adaptive power control feature using one of two following mechanisms: the Proportional Integral Derivative (PID) controller and the fuzzy logic. Finally, in our third contribution of this thesis, we develop a power efficient and fully-distributed radio resource sharing framework for MTC underlying cellular networks. We use game theory and model the resource sharing problem as an efficient hybrid-game where M2M devices compete for radio resources and switch opportunistically, as M2M devices are selfish in nature, between non-cooperative and cooperative games. The different derived solutions are extended to existing cellular networks, and extensive simulation studies in the context of LTE are conducted. The various simulation results show that the proposed solutions can significantly increase the efficiency of the spectrum usage, mitigate the negative effect on H2H services and save the battery life of M2M devices
Jeannerot, Alix. "Uplink resource allocation methods for next-generation wireless networks". Electronic Thesis or Diss., Lyon, INSA, 2024. http://www.theses.fr/2024ISAL0109.
Texto completoFacing the diversity of communication needs of 5G networks and the future 6G, resource allocation is considered as a key enabler to increase the number of devices, the data rate or the reliability of the communication links. In machine-type communication networks, recent work has proposed to adapt the temporal resource allocation as a function of the underlying process driving the activity of the devices. This thesis firstly focuses on the impact of having only limited knowledge of the underlying process, and proposes methods to mitigate the bias induced by the lack of knowledge. Secondly, an algorithm for the joint optimization of the temporal resource allocation and the transmit power of the devices is proposed. The algorithm ensures that devices that are likely to transmit on the same resources do so with a sufficient power diversity to ensure their decodability by the base station. Finally, in networks with an enhanced mobile broadband objective, we propose to jointly optimize the power, the frequency resources used, as well as the number of parallel data streams used by the devices. Our simulation study shows that our joint optimization outperforms current 5G baselines for which these parameters are common to all devices of the cell
Glück, Olivier. "Optimisations de la bibliothèque de communication MPI pour machines parallèles de type " grappe de PCs " sur une primitive d'écriture distante". Paris 6, 2002. http://www.theses.fr/2002PA066158.
Texto completoCholaraju, Narasaraju Vignesh. "Impact of Extended DRX Cycles on Battery Lifetimes and UE Reachability". Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-196959.
Texto completoFenyo, Alexandre. "Conception et réalisation d'un noyau de communication bâti sur la primitive d'écriture distante, pour machines parallèles de type "grappe de PCs"". Paris 6, 2001. http://www.theses.fr/2001PA066511.
Texto completoFengler, Alexander [Verfasser], Giuseppe [Akademischer Betreuer] Caire, Peter [Akademischer Betreuer] Jung, Giuseppe [Gutachter] Caire, Gianluigi [Gutachter] Liva y Krishna [Gutachter] Narayanan. "Sparse recovery based grant-free random access for massive machine-type communication / Alexander Fengler ; Gutachter: Giuseppe Caire, Gianluigi Liva, Krishna Narayanan ; Giuseppe Caire, Peter Jung". Berlin : Technische Universität Berlin, 2021. http://d-nb.info/1230468463/34.
Texto completoLeyva, Mayorga Israel. "On reliable and energy efficient massive wireless communications: the road to 5G". Doctoral thesis, Universitat Politècnica de València, 2019. http://hdl.handle.net/10251/115484.
Texto completoLa cinquena generació de xarxes mòbils (5G) es troba molt a la vora. S'espera que proveïsca de beneficis extraordinaris a la població i que resolga la majoria dels problemes de les xarxes 4G actuals. L'èxit de 5G, per a la qual ja ha sigut completada la primera fase del qual d'estandardització, depén de tres pilars: comunicacions tipus-màquina massives, banda ampla mòbil millorada, i comunicacions ultra fiables i de baixa latència (mMTC, eMBB i URLLC, respectivament, per les seues sigles en anglés). En aquesta tesi ens enfoquem en el primer pilar de 5G, mMTC, però també proveïm una solució per a aconseguir eMBB en escenaris de distribució massiva de continguts. Específicament, les principals contribucions són en les àrees de: 1) suport eficient de mMTC en xarxes cel·lulars; 2) accés aleatori per al report d'esdeveniments en xarxes sense fils de sensors (WSNs); i 3) cooperació per a la distribució massiva de continguts en xarxes cel·lulars. En l'apartat de mMTC en xarxes cel·lulars, aquesta tesi realitza una anàlisi profunda de l'acompliment del procediment d'accés aleatori, que és la forma mitjançant la qual els dispositius mòbils accedeixen a la xarxa. Aquestes anàlisis van ser inicialment dutes per mitjà de simulacions i, posteriorment, per mitjà d'un model analític. Els models van ser desenvolupats específicament per a aquest propòsit i inclouen un dels esquemes de control d'accés més prometedors: el access class barring (ACB). El nostre model és un dels més precisos que es poden trobar i l'únic que incorpora l'esquema d'ACB. Els resultats obtinguts per mitjà d'aquest model i per simulació són clars: els accessos altament sincronitzats que ocorren en aplicacions de mMTC poden causar congestió severa en el canal d'accés. D'altra banda, també són clars en què aquesta congestió es pot previndre amb una adequada configuració de l'ACB. No obstant això, els paràmetres de configuració de l'ACB han de ser contínuament adaptats a la intensitat d'accessos per a poder obtindre unes prestacions òptimes. En la tesi es proposa una solució pràctica a aquest problema en la forma d'un esquema de configuració automàtica per a l'ACB; l'anomenem ACBC. Els resultats mostren que el nostre esquema pot aconseguir un acompliment molt proper a l'òptim sense importar la intensitat dels accessos. Així mateix, pot ser directament implementat en xarxes cel·lulars per a suportar el trànsit mMTC, ja que ha sigut dissenyat tenint en compte els estàndards del 3GPP. A més de les anàlisis descrites anteriorment per a xarxes cel·lulars, es realitza una anàlisi general per a aplicacions de comptadors intel·ligents. És a dir, estudiem un escenari de mMTC des de la perspectiva de les WSNs. Específicament, desenvolupem un model híbrid per a l'anàlisi de prestacions i l'optimització de protocols de WSNs d'accés aleatori i basats en clúster. Els resultats mostren la utilitat d'escoltar el mitjà sense fil per a minimitzar el nombre de transmissions i també de modificar les probabilitats de transmissió després d'una col·lisió. Pel que fa a eMBB, ens enfoquem en un escenari de distribució massiva de continguts, en el qual un mateix contingut és enviat de forma simultània a un gran nombre d'usuaris mòbils. Aquest escenari és problemàtic, ja que les estacions base de la xarxa cel·lular no compten amb mecanismes eficients de multicast o broadcast. Per tant, la solució que s'adopta comunament és la de replicar el contingut per a cadascun dels usuaris que ho sol·liciten; és clar que això és altament ineficient. Per a resoldre aquest problema, proposem l'ús d'esquemes de network coding i d'arquitectures cooperatives anomenades núvols mòbils. En concret, desenvolupem un protocol per a realitzar la distribució massiva de continguts de forma eficient, juntament amb un model analític per a la seua optimització. Els resultats demostren que el model proposat és simple i precís
The 5th generation (5G) of mobile networks is just around the corner. It is expected to bring extraordinary benefits to the population and to solve the majority of the problems of current 4th generation (4G) systems. The success of 5G, whose first phase of standardization has concluded, relies in three pillars that correspond to its main use cases: massive machine-type communication (mMTC), enhanced mobile broadband (eMBB), and ultra-reliable low latency communication (URLLC). This thesis mainly focuses on the first pillar of 5G: mMTC, but also provides a solution for the eMBB in massive content delivery scenarios. Specifically, its main contributions are in the areas of: 1) efficient support of mMTC in cellular networks; 2) random access (RA) event-reporting in wireless sensor networks (WSNs); and 3) cooperative massive content delivery in cellular networks. Regarding mMTC in cellular networks, this thesis provides a thorough performance analysis of the RA procedure (RAP), used by the mobile devices to switch from idle to connected mode. These analyses were first conducted by simulation and then by an analytical model; both of these were developed with this specific purpose and include one of the most promising access control schemes: the access class barring (ACB). To the best of our knowledge, this is one of the most accurate analytical models reported in the literature and the only one that incorporates the ACB scheme. Our results clearly show that the highly-synchronized accesses that occur in mMTC applications can lead to severe congestion. On the other hand, it is also clear that congestion can be prevented with an adequate configuration of the ACB scheme. However, the configuration parameters of the ACB scheme must be continuously adapted to the intensity of access attempts if an optimal performance is to be obtained. We developed a practical solution to this problem in the form of a scheme to automatically configure the ACB; we call it access class barring configuration (ACBC) scheme. The results show that our ACBC scheme leads to a near-optimal performance regardless of the intensity of access attempts. Furthermore, it can be directly implemented in 3rd Generation Partnership Project (3GPP) cellular systems to efficiently handle mMTC because it has been designed to comply with the 3GPP standards. In addition to the analyses described above for cellular networks, a general analysis for smart metering applications is performed. That is, we study an mMTC scenario from the perspective of event detection and reporting WSNs. Specifically, we provide a hybrid model for the performance analysis and optimization of cluster-based RA WSN protocols. Results showcase the utility of overhearing to minimize the number of packet transmissions, but also of the adaptation of transmission parameters after a collision occurs. Building on this, we are able to provide some guidelines that can drastically increase the performance of a wide range of RA protocols and systems in event reporting applications. Regarding eMBB, we focus on a massive content delivery scenario in which the exact same content is transmitted to a large number of mobile users simultaneously. Such a scenario may arise, for example, with video streaming services that offer a particularly popular content. This is a problematic scenario because cellular base stations have no efficient multicast or broadcast mechanisms. Hence, the traditional solution is to replicate the content for each requesting user, which is highly inefficient. To solve this problem, we propose the use of network coding (NC) schemes in combination with cooperative architectures named mobile clouds (MCs). Specifically, we develop a protocol for efficient massive content delivery, along with the analytical model for its optimization. Results show the proposed model is simple and accurate, and the protocol can lead to energy savings of up to 37 percent when compared to the traditional approach.
Leyva Mayorga, I. (2018). On reliable and energy efficient massive wireless communications: the road to 5G [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/115484
TESIS
Karpul, Alexander. "Emergent Communication: The evolution of simplistic machines using different communication types". Master's thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/6405.
Texto completoMendonca, Costa Javier. "Context-Aware Machine to Machine Communications in Cellular Networks". Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143180.
Texto completoKalalas, Charalampos. "Cellular networks for smart grid communication". Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/620760.
Texto completoLas redes celulares, p.e., los sistemas LTE/LTE-A, aparecen como una tecnología prometedora para facilitar la evolución de la próxima generación del sistema eléctrico de potencia, conocido como smart grid (SG). Sin embargo, la tecnología celular no fue pensada originalmente para las comunicaciones en la SG, asociadas con el intercambio fiable de mensajes y con requisitos de conectividad de un número masivo de dispositivos. Las diferencias fundamentales entre las comunicaciones en la SG y la comunicación de tipo humano desafían el diseño clásico de las redes celulares e introducen importantes cuestiones de investigación que hasta ahora no se han abordado suficientemente. Motivada por estos retos, esta tesis doctoral investiga los principios de diseño y analiza el rendimiento de una nueva red de acceso radio (RAN) que permita una integración perfecta del tráfico de la SG en las redes celulares futuras. Nos centramos en los problemas fundamentales de escalabilidad de la RAN en despliegues de SG masivos, y en la gestión de los recursos radio para la integración del tráfico de la SG con el tráfico de tipo humano. El objetivo principal de la tesis consiste en el diseño, el análisis y la evaluación del rendimiento de los mecanismos de las RAN que convertirán a las redes celulares en el elemento clave para las aplicaciones emergentes de las SGs. La primera parte de la tesis aborda las limitaciones del acceso radio en redes LTE para la comunicación fiable y escalable en SGs. En primer lugar, identificamos el problema de congestión en el acceso aleatorio de LTE que aparece en los despliegues de SGs a gran escala. Para superar este problema, se propone un nuevo mecanismo de acceso aleatorio que permite soportar de forma eficiente los servicios de automatización de la distribución eléctrica en tiempo real, con un impacto insignificante en el tráfico de fondo. Motivados por los estrictos requisitos de fiabilidad de las diversas operaciones en la SG, desarrollamos un modelo analítico del procedimiento de acceso aleatorio de LTE que nos permite evaluar el rendimiento del tráfico de monitorización de la red eléctrica basado en eventos bajo diversas condiciones de carga y configuraciones de red. Además, ampliamos nuestro análisis para incluir la relación entre el tamaño de celda y la disponibilidad de recursos de acceso aleatorio ortogonales, e identificamos un reto adicional para la conectividad fiable en la SG. Con este fin, diseñamos un mecanismo de planificación celular que tiene en cuenta las interferencias y la carga de la red, y que mejora la fiabilidad en los servicios de automatización de las subestaciones eléctricas. Finalmente, combinamos el problema de la estimación de estado en sistemas de monitorización de redes eléctricas de área amplia con los retos de fiabilidad en la adquisición de la información. Utilizando el modelo analítico desarrollado, cuantificamos el impacto de la baja fiabilidad en las comunicaciones sobre la precisión de la estimación de estado. La segunda parte de la tesis se centra en el problema de scheduling y compartición de recursos en la RAN para el tráfico de SG y el tráfico de tipo humano. Presentamos un nuevo scheduler que proporciona baja latencia para el tráfico de automatización de la distribución eléctrica, mientras que la asignación de recursos se realiza de un modo que mantiene la degradación de los usuarios celulares en un nivel mínimo. Además, investigamos los beneficios del modo de transmisión Device-to-Device (D2D) en el intercambio de mensajes basados en eventos en escenarios de automatización de subestaciones eléctricas. Diseñamos un mecanismo conjunto de asignación de recursos y selección de modo que da como resultado tasas de datos más elevadas con respecto al modo de transmisión convencional a través de la estación base. Finalmente, se propone un esquema de partición de recursos ortogonales entre enlaces celulares y D2
Kindombi, Lola Ndontoni. "Communications interactives avec une machine base de données". Paris 11, 1985. http://www.theses.fr/1985PA112379.
Texto completoLichtman, Marc Louis. "Antifragile Communications". Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/72267.
Texto completoPh. D.
Dawaliby, Samir. "Machine-to-Machine (M2M) Communications in Next Generation Networks : Spectrum management and energy efficiency". Thesis, Poitiers, 2019. http://www.theses.fr/2019POIT2280.
Texto completoThis thesis deals with the problem of guaranteeing heterogeneous quality of service (QoS) requirements for Internet of Things (IoT) communications in terms of urgency and reliability. Various solutions are proposed towards achieving this goal in LoRa Wide Area Networks (LoRaWAN). First, we implement network slicing over LoRa standard architecture and evaluate its impact using various static and dynamic strategies. Simulation Results performed over NS3 proved the efficiency of network slicing in isolating physical resources for each slice and serving delay critical communications. Motivated by these results, a slice-based optimization is proposed next to improve the dynamic slicing strategy by investigating more LoRa parameters at the physical layer. The proposed method finds for each device the best parameters configuration that potentially improves the performance of its slice in terms of QoS, reliability and energy efficiency. Moreover, we also looked towards meeting upcoming challenges in future IoT networks that comes from the increasing number of IoT devices. Even with network slicing, LoRa scalability remained as a big challenge that should be carefully considered especially due to the lack of flexibility in managing current wireless networks. Therefore, to meet the global objective in guaranteeing QoS in large scale IoT deployments, software defined networking (SDN) and network slicing are adopted as backbone technologies for a distributed virtualized architecture and slicing strategy. The latter proposition is based on game theory and adapts faster to the changes in a congested IoT environment by leveraging slicing decision making closer to the edge
Rein, Michael Ph D. Massachusetts Institute of Technology. "From self-assembly to communications via machine washable fibers". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115716.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 121-128).
Fibers and fabrics are among the earliest forms of human expression, and yet they have not progressed much from a functional standpoint over the course of history. Recently, a new family of fibers composed of conductors, semiconductors and insulators has emerged. These fibers can achieve device attributes, yet are fabricated using scalable preform-based fiber-processing methods, yielding kilometers of functional fiber devices. Co-draw of different materials is possible for numerous material combinations and sizes, where one of the limiting factors to a continuous feature size in fibers is the Rayleigh-Plateau capillary instability. In my thesis I have shown that it is possible to utilize this adverse fluid instability phenomenon to fabricate uniformly sized and uniformly structured spherical particles internal to the fibers. Judicial choice of the materials and control over the kinetics of this process allowed to integrate the spherical particles into an active fiber device. We have introduced additional ability to control the structure of the fiber by making this process selective, forming high density array of self-assembled spherical photodetectors, connected to continuous electrodes. This fiber structure shows enhanced photoconductivity and sensitivity to wavelength variation, due to spherical geometry of the photoresistive domains. Additionally, an alternative strategy for integrating active devices into fibers was demonstrated. Rather than addressing all the challenges of thermal drawing, we have developed a method to directly integrate commercial functional devices (light emitting diodes, photodetectors etc.) into fibers through thermal drawing. We package these devices internal to the fibers in high density and integrate them with conductive buses, during the thermal draw. This approach enables to combine the benefits of several technologies - high-efficiency devices integrated into kilometer long fibers, which could be weaved into highly functional fabrics. Endowing fibers with active devices will potentially establish a new generation of multifunctional fibers, with highly desired electronic properties. For example, flexible and resilient light emitting fibers could be integrated into textiles to enable covert, optical signal transmission from the soldier uniform to the external world, or high bandwidth photodetectors could be embedded into garments to allow high volume information reception via LiFi (WiFi through light).
by Michael Rein.
Ph. D.
Mastin, Alan. "Human-Machine Interface for Tactical Air Traffic Control Communications". UNF Digital Commons, 1990. http://digitalcommons.unf.edu/etd/133.
Texto completoAllander, Martin. "Channel Equalization Using Machine Learning for Underwater Acoustic Communications". Thesis, Linköpings universitet, Kommunikationssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166643.
Texto completoFerreira, Paulo Victor Rodrigues. "SRML: Space Radio Machine Learning". Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-dissertations/199.
Texto completoPuñal, Ostos Óscar [Verfasser]. "Optimizing 802.11 Wireless Communications with Machine Learning / Óscar Puñal Ostos". Aachen : Shaker, 2015. http://d-nb.info/1070151947/34.
Texto completoNewton, Christopher A. "An ISDN environment for the NeXT machine". Thesis, Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/8229.
Texto completoDelvecchio, Matthew David. "Enhancing Communications Aware Evasion Attacks on RFML Spectrum Sensing Systems". Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99792.
Texto completoMaster of Science
Deep learning has started infiltrating many aspects of society from the military, to academia, to commercial vendors. Additionally, with the recent deployment of 5G technology, connectivity is more readily accessible than ever and an increasingly large number of systems will communicate with one another across the globe. However, cybersecurity and electronic warfare call into question the very notion of privacy and confidentiality of data and communication streams. Deep learning has further improved these intercepting capabilities. However, these deep learning systems have also been shown to be vulnerable to attack. This thesis exists at the nexus of these two problems, both machine learning and communication security. This work expands upon adversarial evasion attacks meant to help elude signal classification at a deep learning-enabled eavesdropper while still providing reliable communications to a friendly receiver. By doing so, this work both provides a new methodology that can be used to conceal communication information from unwanted parties while also highlighting the glaring vulnerabilities present in machine learning systems.
Hounkonnou, Oussou Kassien. "Étude d'un nouveau type de machine synchrone autopilotée". Vandoeuvre-les-Nancy, INPL, 1993. http://www.theses.fr/1993INPL116N.
Texto completoSelis, Valerio. "Establishing trusted Machine-to-Machine communications in the Internet of Things through the use of behavioural tests". Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3020997/.
Texto completoBhogi, Keerthana. "Two New Applications of Tensors to Machine Learning for Wireless Communications". Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/104970.
Texto completoMaster of Science
The increase in the number of wireless and mobile devices have led to the generation of massive amounts of multi-modal data at the users in various real-world applications including wireless communications. This has led to an increasing interest in machine learning (ML)-based data-driven techniques for communication system design. The native setting of ML is {em centralized} where all the data is available on a single device. However, the distributed nature of the users and their data has also motivated the development of distributed ML techniques. Since the success of ML techniques is grounded in their data-based nature, there is a need to maintain the efficiency and scalability of the algorithms to manage the large-scale data. Tensors are multi-dimensional arrays that provide an integrated way of representing multi-modal data. Tensor algebra and tensor decompositions have enabled the extension of several classical ML techniques to tensors-based ML techniques in various application domains such as computer vision, data-mining, image processing, and wireless communications. Tensors-based ML techniques have shown to improve the performance of the ML models because of their ability to leverage the underlying structural information in the data. In this thesis, we present two new applications of tensors to ML for wireless applications and show how the tensor structure of the concerned data can be exploited and incorporated in different ways. The first contribution is a tensor learning-based precoder codebook design technique for full-dimension multiple-input multiple-output (FD-MIMO) systems where we develop a scheme for designing low-complexity product precoder codebooks by identifying and leveraging a tensor representation of the FD-MIMO channel. The second contribution is a tensor-based gradient communication scheme for a decentralized ML technique known as federated learning (FL) with convolutional neural networks (CNNs), where we design a novel bandwidth-efficient gradient compression-reconstruction algorithm that leverages a tensor structure of the convolutional gradients. The numerical simulations in both applications demonstrate that exploiting the underlying tensor structure in the data provides significant gains in their respective performance criteria.
Shang-LinLu y 呂尚霖. "Optimistic DRX for Machine-type Communications". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/95511096045635006276.
Texto completo國立成功大學
資訊工程學系
104
In Long Term Evolution-Advanced (LTE-A) networks, the Third Generation Partnership Project (3GPP) proposes machine-type communications (MTC) as a new paradigm where devices transfer data among themselves with limited human interaction. For MTC devices, power saving is an important issue. In LTE-A networks, the standard power saving mechanism, called discontinuous reception (DRX), is designed for normal mobile users, not for MTC devices. In this thesis, we propose the optimistic DRX (ODRX) mechanism to be suitable for MTC devices. ODRX considers radio resource control (RRC) connection release and re-establishment to save more power. We also introduce the optimistic flag to allow longer sleep period. Analytical and simulation models are proposed to investigate the performance of ODRX, which is then compared with the standard DRX and dynamic DRX (DDRX) through simulation experiments. The results show that ODRX outperforms standard DRX and DDRX by gaining significant extra power saving with little extra wake-up latency. We also propose guidelines to configure the ODRX parameters.
Liu, Shu-Yao y 劉書堯. "Congestion Control for Machine Type Communications in LTE". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/73756300246459471158.
Texto completo國立暨南國際大學
資訊工程學系
102
With the development of IT technologies, more and more intelligent devices can detect many kinds of environmental conditions, and send collected data or alarm back to server system automatically. Such applications, similar to wireless sensor networks, are developed for recent years. With the development of next-generation LTE wireless mobile network, SA working group also develop a related technologies, namely Machine Type Communication (MTC), in 3GPP. The MTC applications developed by 3GPP SA working group are also operated without interactive with human and can transmit data directly to servers located in LTE core network. However, the MTC devices may massively increase due to more and more fancy applications used. This may result in LTE core network over load as the transmission demand increased. Moreover, RACH congestion becomes more and more serious due to limited preamble slots in LTE system. This thesis attempts to use a hierarchical architecture for grouping MTC devices based on their futures. The ACB or EAB combined with group paging mechanisms are used to reduce the probability of congestion happen. Furthermore, this thesis also develops a Device-to-Device, D2D, communication approach to further reduce the LTE system load.
Ramos, Bruno Miguel de Figueiredo. "Lightly synchronized Multipacket Reception in Machine-Type Communications Networks". Master's thesis, 2016. http://hdl.handle.net/10362/21528.
Texto completoLopes, Bruno Miguel de Carvalho. "Channel estimation with TCH codes for machine-type communications". Master's thesis, 2017. http://hdl.handle.net/10071/15456.
Texto completoOs códigos TCH possuem várias propriedades que nos permitem usá-los eficientemente em diversas aplicações. Uma delas é a estimação de canal e nesta dissertação é estudado o desempenho dos códigos TCH em estimação de canal num sistema OFDM, tendo em conta as comunicações Machine-Type. Resultados que ilustram a taxa de erro de bit foram obtidos através de simulações que permitem avaliar o impacto de usar diferentes técnicas de pilotos, nomeadamente multiplexados e implícitos, diferentes valores de potência para os pilotos e diferentes modulações, QPSK e 64-QAM. Também é feita a comparação entre os pilotos TCH e pilotos convencionais. Os resultados mostram que os pilotos TCH tem um desempenho muito positivo e confiável, dentro dos parâmetros testados. Também é efetuado o estudo de sincronização e estimação de canal conjunta usando métodos esparsos como o OMP, o L1-regularized e o Iterative Reweighted L1. Os códigos TCH são comparados com outros tipos de sequências, tais como as sequências Zadoff-Chu e os códigos pseudo-aleatórios. São consideradas variações no tamanho dos pilotos, no comprimento do canal e no tamanho da janela de observação para perceber quais são os seus efeitos no desempenho. Os resultados demonstram que os códigos TCH podem ser utilizados com sucesso em estimação de canal e sincronização conjunta e conseguem aguentar condições adversas de simulação melhor que os outros pilotos utilizados. Também é provado que compressed sensing pode ser utilizado com sucesso em sincronização e estimação conjunta, que é uma área onde o seu uso ainda não foi explorado aprofundadamente.
Chang, Cheng-Ting y 張正廷. "Modeling LTE Group Paging Mechanism for Machine-Type Communications". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/28125732638338249968.
Texto completo國立清華大學
資訊工程學系
101
The increasing Machine-Type Communications (MTC) devices will make the network congestion because enormous devices simultaneously perform the random access to obtain the uplink resources. The group paging mechanism may solve this issue by centralized control to disperse the devices. This paper develops an analytic model to study the operation of multi-group random access procedure. Based on the analytic model, we design an approach to implement the group paging mechanism that satisfies the success probability of random access and consumes the less completion time to finish the whole procedure. Furthermore, we compare the performance of the paging and group paging mechanism in our simulation.
李韋成. "Minimizing Resource Consumption in Idle Mode for Machine-Type Communications". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/e8whnt.
Texto completo國立交通大學
網路工程研究所
102
Machine-to-Machine (M2M) communication, which is also known as Internet of Things (IoT) or Machine-Type communications as well, is expected to be a major trend in mobile communication such as LTE Advanced Networks. M2M communications enables devices to be controlled via internet. Currently, LTE networks are primarily designed and optimized for human-to-human (H2H) communications. Nevertheless, some designs such as paging for a device in Idle Mode are not suitable for M2M communications. In this thesis, we first discover the paging issue for M2M communications. Furthermore, we investigate that there is trade-off between paging and Tracking Area Update (TAU). In addition, both paging and TAU are affected by the length of DRX cycle. The longer length of the DRX cycle is, the more paging cost will be. However, when the DRX cycle length becomes longer, the TAU cost will be smaller. Therefore, we discuss how DRX cycle length impacts the paging and TAU. Finally, we propose an easy and effective solution to minimize the signal resource consumption by adjusting the length of DRX cycle from the operators’ point of view. In performance evaluations, the optimal DRX cycle length we proposed can save more power and signal resources than the DRX cycle lengths defined in LTE specification (e.g., 32, 64, 128 or 256 millisecond).
Chen, Ce y 陳策. "An Enhanced EAB Design for Machine-Type Communications in LTE". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/67807158740632237918.
Texto completoDung-RuTsai y 蔡東儒. "Reducing Signaling Cost of Online Credit Reservation for Machine Type Communications". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/23066220465571696374.
Texto completo國立成功大學
電腦與通信工程研究所
101
Current-day 3rd Generation Partnership Project (3GPP) networks charging system is not designed for Machine Type Communications (MTC) applications. The existing charging mechanisms usually just consider the traffic characteristics of human-based communication applications (i.e. a call session long, download data volume). However, MTC traffic characteristics are quite different to human-base traffic characteristics. The objective of this thesis is to propose a new credit reservation procedure, called Multiple Event-based Credit Reservation (MECR) to be make use of online charging for MTC services. We develop an analytical model and extensive simulation to in- vestigate the MECR procedure performance. Numerical results show that our MECR procedure can significantly reduce Credit Control Request (CCR) messages and bulk Charging Data Records (CDRs).
Lin, Huang-Wei y 林煌瑋. "Uplink Access Control for Machine-type Communications in LTE-A Networks". Thesis, 2015. http://ndltd.ncl.edu.tw/handle/09197643262894647201.
Texto completo國立中正大學
資訊工程研究所
103
Internet of Things (IoT) has been considered as one of the key technologies for the next decade. One of the key features of IoT is the global connectivity of things, such as smart meters, wireless sensors, etc. LTE-A has been considered as the main means for connecting wireless devices to the Internet. For this reason, Machine Type Communication (MTC) has been defined in the 3GPP LTE-A specification. As the development of IOT , MTC will face many challenge. Firstly, the initial design for LTE-A network is to support Human Type Communication (HTC). However, traffic characteristics of MTC and HTC could be very different, such as data size, transmission cycle and delay tolerance. How to accommodate large amount of MTC without affecting the grade of service of HTC is a big challenge. Secondly, when a device wants to access the LTE-A network, it has to start Random Access(RA) procedure for communicating with the eNB. After the procedure, the device can then synchronize in uplink and downlink and transmit or receive data. As the number of machines is expected to be much larger than HTC devices, an eNB in LTE-A will face too many RA requests from MTC devices. Without proper access control, the success rate of RA requests from HTC devices could degrade quickly. Therefore, the focus of this research is to propose a proper random access procedure such that the access success rate of HTC devices will not be affected by the traffic of MTC or access requests from a large number of MTC devices. In this thesis, we proposed an Adaptive RACH Resource Allocation (ARRA) scheme which integrates several control schemes, include Resource Adjustment scheme, ACB scheme and Priority Device Setting scheme. Our simulation results show that the proposed ARRA scheme is able to achieve high access success rate and low delay of HTC devices while providing different quality of service (QoS) to different type of MTC traffic.