Rozprawy doktorskie na temat „Future Cellular and IoT Networks”
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Djemai, Ibrahim. "Joint offloading-scheduling policies for future generation wireless networks". Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAS007.
Pełny tekst źródłaThe challenges posed by the increasing number of connected devices, high energy consumption, and environmental impact in today's and future wireless networks are gaining more attention. New technologies like Mobile Edge Computing (MEC) have emerged to bring cloud services closer to the devices and address their computation limitations. Enabling these devices and the network nodes with Energy Harvesting (EH) capabilities is also promising to allow for consuming energy from sustainable and environmentally friendly sources. In addition, Non-Orthogonal Multiple Access (NOMA) is a pivotal technique to achieve enhanced mobile broadband. Aided by the advancement of Artificial Intelligence, especially Reinforcement Learning (RL) models, the thesis work revolves around devising policies that jointly optimize scheduling and computational offloading for devices with EH capabilities, NOMA-enabled communications, and MEC access. Moreover, when the number of devices increases and so does the system complexity, NOMA clustering is performed and Federated Learning is used to produce RL policies in a distributed way. The thesis results validate the performance of the proposed RL-based policies, as well as the interest of using NOMA technique
Yi, Na. "Cooperative communication for future cellular networks". Thesis, University of Surrey, 2009. http://epubs.surrey.ac.uk/843080/.
Pełny tekst źródłaImran, Ali. "Self organization in future cellular networks". Thesis, University of Surrey, 2011. http://epubs.surrey.ac.uk/842776/.
Pełny tekst źródłaAkbari, Iman. "Enabling self organisation for future cellular networks". Thesis, University of Surrey, 2018. http://epubs.surrey.ac.uk/849661/.
Pełny tekst źródłaKoshi, Virtyt. "Radio planning for future mobile communication networks". Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390488.
Pełny tekst źródłaLarue, Guillaume. "AI models for digital signal processing in future 6G-IoT networks". Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAT003.
Pełny tekst źródłaWireless technologies are of paramount importance to today's societies and future 6th generation communication networks are expected to address many societal and technological challenges. While communications infrastructures have a growing environmental impact that needs to be reduced, digital technologies also have a role to play in reducing the impact of all sectors of the economy. To this end, the future networks will not only have to enable more efficient information transfer, but also meet the growing need for data exchange capacity. This is particularly the role of the Internet of Things use cases, where a massive number of sensors allow to monitor complex systems. These use cases are associated with many constraints such as limited energy resources and complexity. Therefore, an efficient and low-complexity physical layer - responsible for the transmission of information between the network nodes - is absolutely crucial. In this regard, the use of artificial intelligence techniques is relevant. On the one hand, the mathematical framework of neural networks allows for efficient and low-cost generic hardware implementations. On the other hand, the application of learning procedures can improve the performance of certain algorithms. In this work, we are interested in the use of neural networks and machine learning for digital signal processing in the context of 6G-IoT networks. First, we are interested in the transcription of certain equalisation, demodulation and decoding algorithms from the digital communications literature into neural networks. Secondly, we are interested in the application of learning mechanisms on these neural network structures in order to improve their performance. A linear block decoder is proposed which allows the blind discovery of a decoding scheme whose performance is at least equivalent to that of the reference decoder. Finally, an end-to-end structure is presented, allowing joint learning of an encoding/decoding scheme with performance and complexity comparable to state-of-the-art solutions
Aquilina, Paula. "Advanced interference management techniques for future generation cellular networks". Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28714.
Pełny tekst źródłaRasheduzzaman, Mirza. "Contributing towards improved communication systems for future cellular networks". Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/17686/.
Pełny tekst źródłaHossain, Mohammad Istiak. "Designing Efficient Access Control to Comply Massive-Multiservice IoT over Cellular Networks". Licentiate thesis, KTH, Radio Systems Laboratory (RS Lab), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214974.
Pełny tekst źródłaQC 20170928
Iscar, Vergara Jorge. "Channel and Noise Variance Estimation for Future 5G Cellular Networks". FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/3026.
Pełny tekst źródłaAmate, Ahmed Mohammed. "Device-device communication and multihop transmission for future cellular networks". Thesis, University of Hertfordshire, 2015. http://hdl.handle.net/2299/16309.
Pełny tekst źródłaChen, Youjia. "Distributed Resource Allocation And Spectrum Sharing In Future Heterogeneous Wireless Cellular Networks". Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/16891.
Pełny tekst źródłaTuryagyenda, Charles. "Energy efficient radio resource management for future mobile cellular radio access networks". Thesis, University of Sheffield, 2014. http://etheses.whiterose.ac.uk/6247/.
Pełny tekst źródłaGiordani, Marco. "The Potential of Millimeter Waves for Future 5G Cellular and Vehicular Networks". Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3422712.
Pełny tekst źródłaMestoukirdi, Mohamad. "Reliable and Communication-Efficient Federated Learning for Future Intelligent Edge Networks". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS432.
Pełny tekst źródłaIn the realm of future 6G wireless networks, integrating the intelligent edge through the advent of AI signifies a momentous leap forward, promising revolutionary advancements in wireless communication. This integration fosters a harmonious synergy, capitalizing on the collective potential of these transformative technologies. Central to this integration is the role of federated learning, a decentralized learning paradigm that upholds data privacy while harnessing the collective intelligence of interconnected devices. By embracing federated learning, 6G networks can unlock a myriad of benefits for both wireless networks and edge devices. On one hand, wireless networks gain the ability to exploit data-driven solutions, surpassing the limitations of traditional model-driven approaches. Particularly, leveraging real-time data insights will empower 6G networks to adapt, optimize performance, and enhance network efficiency dynamically. On the other hand, edge devices benefit from personalized experiences and tailored solutions, catered to their specific requirements. Specifically, edge devices will experience improved performance and reduced latency through localized decision-making, real-time processing, and reduced reliance on centralized infrastructure. In the first part of the thesis, we tackle the predicament of statistical heterogeneity in federated learning stemming from divergent data distributions among devices datasets. Rather than training a conventional one-model-fits-all, which often performs poorly with non-IID data, we propose user-centric set of rules that produce personalized models tailored to each user objectives. To mitigate the prohibitive communication overhead associated with training distinct personalized model for each user, users are partitioned into clusters based on their objectives similarity. This enables collective training of cohort-specific personalized models. As a result, the total number of personalized models trained is reduced. This reduction lessens the consumption of wireless resources required to transmit model updates across bandwidth-limited wireless channels. In the second part, our focus shifts towards integrating IoT remote devices into the intelligent edge by leveraging unmanned aerial vehicles as a federated learning orchestrator. While previous studies have extensively explored the potential of UAVs as flying base stations or relays in wireless networks, their utilization in facilitating model training is still a relatively new area of research. In this context, we leverage the UAV mobility to bypass the unfavorable channel conditions in rural areas and establish learning grounds to remote IoT devices. However, UAV deployments poses challenges in terms of scheduling and trajectory design. To this end, a joint optimization of UAV trajectory, device scheduling, and the learning performance is formulated and solved using convex optimization techniques and graph theory. In the third and final part of this thesis, we take a critical look at thecommunication overhead imposed by federated learning on wireless networks. While compression techniques such as quantization and sparsification of model updates are widely used, they often achieve communication efficiency at the cost of reduced model performance. We employ over-parameterized random networks to approximate target networks through parameter pruning rather than direct optimization to overcome this limitation. This approach has been demonstrated to require transmitting no more than a single bit of information per model parameter. We show that SoTA methods fail to capitalize on the full attainable advantages in terms of communication efficiency using this approach. Accordingly, we propose a regularized loss function which considers the entropy of transmitted updates, resulting in notable improvements to communication and memory efficiency during federated training on edge devices without sacrificing accuracy
Razavi, Seyed Morteza. "Advanced interference management techniques for future wireless networks". Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/8915.
Pełny tekst źródłaShalmashi, Serveh. "Device-to-Device Communications for Future Cellular Networks : Challenges, Trade-Offs, and Coexistence". Doctoral thesis, KTH, Radio Systems Laboratory (RS Lab), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168145.
Pełny tekst źródłaDen stora ökningen i mobildatatrafik de senaste åren har tilldragit sig mycket intresse. Med nuvarande infrastruktur och radioresurser kommer inte mobiloperatörerna att kunna hantera de kommande kraven. Därför har diskussioner kring den femte generationens (5G) mobila nätverk startat inom både akademin och industrin. Utöver högre kapacitet så kommer strikta krav på ökad energieffektivitet, minskad fördröjning samt ökad tillförlitlighet att planeras för 5G. En av många lösningar som har föreslagits är enhet-till-enhetskommunikation (device-to-device communications, D2D, på engelska), vilket innebär att närliggande mobilanvändare kan sända direkt till varandra utan att gå genom basstationen. I denna avhandling identifierar vi kompromisser och problem kring, samt föreslår lösningar för, integrering av D2D-kommunikation i cellulära nätverk. Viktiga faktorer för att maximera vinsten av sådan integrering är resursallokering och störningshantering. Avhandlingen börjar med att beskriva samarbetet mellan D2D- och cellulära användare för att minska störningen mellan de två användartyperna, samt för att identifiera scenarier där denna typ av samarbete kan vara fördelaktigt. Vi visar att samarbetssannolikheten ökar med antalet cellulära användare i täckningsområdet, samt när cellstorleken ökar. Denna typ av samarbete kan användas för att öka antalet ansluta enheter, minska fördröjningen, öka cellsummadatataken eller avlasta överlastade celler. Härnäst studerar vi D2D-kommunikation underliggande upplänken i cellulära nätverk. I ett sådant scenario bestäms eventuell vinst från resursdelning (t.ex. i tid, frekvens eller rymd) av hur störningen hanteras. Kvaliteten och prestandan hos störningshanteringen beror på tillgängligheten av kanalkännedom och information om nodernas position, samt uppdateringsfrekvensen för dessa. Ju mer information som behövs, desto mer signalering krävs, vilket leder till högre effektförbrukning hos användarna. Vi undersöker kompromissen mellan fullt tillgänglig kanalkännedom, vilket kräver momentan information, och ett scenario där kanalkännedomen är begränsad, vilket enbart kräver uppdatering med låg frekvens. Våra resultat visar att god summadatatakt kan uppnås när enbart begränsad kanalkännedom är tillgänglig, om en liten prestandaförlust tillåts för cellulära användare. Vi föreslår dessutom en ny metod för störningshantering som enbart kräver information om antalet D2D-användare, utan vetskap om deras kanalkännedom. Denna blinda metod kan uppnå hög täckningssannolikhet med låg beräkningskomplexitet när antalet schemalagda D2D-användare är lågt. Vi studerar även lägesvalsproblemet, dvs. om en användare ska sända i D2D-läge eller i konventionellt cellulärt läge. Vi karaktäriserar beslutskriterierna för både överliggande och underliggande scenarier med två olika objektivfunktioner och visar att D2D-kommunikation är fördelaktig i makroceller samt vid cellkanterna. Området för D2D-optimalitet varierar med objektivfunktionen för nätverket, sändeffekten, servicekvalitetskraven och antalet basstationsantenner. I den andra delen av avhandlingen så studerar vi effekter kring integrering och samexistens av underliggande D2D-kommunikation med en annan lovande teknologi för 5G, nämligen massiv multiple input-multiple output (massiv MIMO). De individuella fördelarna för de två teknologierna är välkända, men eventuella prestandavinster när teknologierna samexisterar har inte studeras tillräckligt. Vi undersöker prestanda i detta hybridnätverk i termer av energieffektivitet och genomsnittlig summadatatakt. En noggrann analys visar att prestandan beror på tätheten av D2D-användare. Vi drar slutsatsen att underliggande D2D-kommunikation bara kan samexistera med massiv MIMO när tätheten av D2D-användare är låg. När det existerar många D2D-användare minskas prestandavinsten från massiv MIMO snabbt och därför bör D2D-kommunikationen ske i överliggande läge istället för underliggande läge. Alternativt kan nätverket tillåta att enbart en delmängd av D2D-sändningar är aktiva samtidigt.
QC 20150529
Aziz, Zahed Muhammad Ishtiaque. "Proactive content caching in future generation communication networks: Energy and security considerations". Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2020. https://ro.ecu.edu.au/theses/2395.
Pełny tekst źródłaCentenaro, Marco. "On the Support of Massive Machine-to-Machine Traffic in Heterogeneous Networks and Fifth-Generation Cellular Networks". Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426783.
Pełny tekst źródłaLa diffusione capillare di molti servizi emergenti grazie all’Internet of Things (IoT) passa attraverso la capacità di fornire connettività senza fili a lungo raggio ad un numero massivo di cose, superando le note criticità delle reti ad hoc a corto raggio. Questa visione comporta grandi sfide, a partire dalle preoccupazioni riguardo l’efficienza delle rete di accesso fino alle minacce alla sicurezza delle reti IoT. In questa tesi, ci concentreremo sia sugli standard di comunicazione a lungo raggio per l’IoT sia sulla ricerca di base per le reti IoT. Dopo aver analizzato come vengono supportate le comunicazioni Machine-to-Machine (M2M) oggi, forniremo soluzioni innovative le quali i) soddisfano i requisiti in termini di scalabilità e latenza, ii) utilizzano una combinazione di bande di frequenza licenziate e libere e iii) assicurano efficienza energetica e sicurezza.
Hsieh, Hung-Yun. "Addressing Network Heterogeneity and Bandwidth Scarcity in Future Wireless Data Networks". Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5063.
Pełny tekst źródłaChaudhary, Muzzamil Aziz [Verfasser], Matthias [Akademischer Betreuer] Jarke i Bernhard [Akademischer Betreuer] Walke. "IMS - Mobile Server Platform : the foundation of mobile-to-mobile service networks for future cellular systems / Muzzamil Aziz Chaudhary ; Matthias Jarke, Bernhard Walke". Aachen : Universitätsbibliothek der RWTH Aachen, 2017. http://d-nb.info/1156924138/34.
Pełny tekst źródłaAziz, Muzzamil [Verfasser], Matthias [Akademischer Betreuer] Jarke i Bernhard [Akademischer Betreuer] Walke. "IMS - Mobile Server Platform : the foundation of mobile-to-mobile service networks for future cellular systems / Muzzamil Aziz Chaudhary ; Matthias Jarke, Bernhard Walke". Aachen : Universitätsbibliothek der RWTH Aachen, 2017. http://d-nb.info/1156924138/34.
Pełny tekst źródłaBotsov, Mladen [Verfasser], Slawomir [Akademischer Betreuer] Stanczak, Slawomir [Gutachter] Stanczak, Erik [Gutachter] Ström i Wolfgang [Gutachter] Kellerer. "Direct device-to-device communications for automotive in future 5G cellular networks / Mladen Botsov ; Gutachter: Slawomir Stanczak, Erik Ström, Wolfgang Kellerer ; Betreuer: Slawomir Stanczak". Berlin : Technische Universität Berlin, 2020. http://d-nb.info/1208764446/34.
Pełny tekst źródłaWaswa, Abubaker Matovu [Verfasser], Andreas [Akademischer Betreuer] Mitschele-Thiel, Jochen [Gutachter] Seitz i Jens [Gutachter] Mückenheim. "Multiple resource reuse for device-to-device communication in future cellular networks / Abubaker Matovu Waswa ; Gutachter: Jochen Seitz, Jens Mückenheim ; Betreuer: Andreas Mitschele-Thiel". Ilmenau : TU Ilmenau, 2020. http://d-nb.info/1223849554/34.
Pełny tekst źródłaTello, 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.
Pełny tekst źródłaNowadays, 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
Leyva, 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.
Pełny tekst źródłaLa 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
Randrianantenaina, Itsikiantsoa. "SPECTRUM MANAGEMENT FOR FUTURE GENERATIONS OF CELLULAR NETWORKS". Diss., 2019. http://hdl.handle.net/10754/656380.
Pełny tekst źródłaShen, Yu-Han, i 沈昱翰. "Performance Analysis of RF Wake-Up Scheme for IoT over Cellular Networks". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/63tshs.
Pełny tekst źródła國立交通大學
電信工程研究所
107
In this thesis, we develop a general modeling and analyzing framework for Internet of Things (IoT) devices over cellular neworks based on radio frequency (RF) wake-up. Because of the characteristic of low duty cycle, IoT devices can turn their main circuit off to save power when they have no data to transmit. However, IoT devices are possibly unable to respond to the wake-up signal or woken up by the interference. In order to analyze the system performance, we consider the fixed wake-up threshold and the location-dependent wake-up threshold schemes. By using stochastic geometry, we acquire the coverage probability and the energy efficiency, which are related to the performance of IoT applications. In our analysis, we find that the location-dependent wake-up threshold scheme achieves better performances under certain conditions, and we also present the trade-off between different considerations. The system performances are verified with both theoretical and simulation results.
SINGHAL, MILIND. "STUDY OF CELLULAR-IOT & DEVELOPMENT OF A BUSINESS CASE FOR SMART CAMPUS". Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19657.
Pełny tekst źródłaWu, Chieh, i 吳杰. "Energy and delay saving with group based algo-rithm in IoT cellular networks". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/r7nrgv.
Pełny tekst źródła國立交通大學
電子工程學系 電子研究所
105
In this dissertation, we reduce the average delay for all devices transmission complete by reusing uplink resources. In this efficient way, we enhance the quality of service (QoS) and also reduce the energy consumption. In Machine to Machine (M2M) network, grouping method was proposed for managing massive devices. We use the grouping algorithm to find some appropriate coordinators to reduce energy consumption and overhead. In this hierarchical grouping method, coordi-nators are concentrated around the base station to help other devices to relay data. We propose a Multi-region concurrent transmission (MRCT) method which reuses the uplink resources to make all devices transmit complete in more stringent time, but the cost is energy consumption. Furthermore, we analyze the tradeoff between delay and energy consumption. We found relative efficient way, which delay improvement to energy de-grade ratio is the maximum. Then apply MRCT algorithm to achieve lower system delay.
Hsu, Shang-Hong, i 許尚宏. "Minimizing Upload Latency for Critical Tasks in Cellular-based IoT Networks using Multiple Relays". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/4d7828.
Pełny tekst źródłaWang, He. "Modeling and design for future wireless cellular networks: coverage, rate, and security". Phd thesis, 2013. http://hdl.handle.net/1885/10931.
Pełny tekst źródłaLeira, Luís Davide Jesus. "Context-based caching in ICN for mobile IoT environments". Master's thesis, 2019. http://hdl.handle.net/10773/29537.
Pełny tekst źródłaA Internet das Coisas (IoT) é um paradigma de comunicação em que objetos da vida quotidiana poderão, entre outros, comunicar entre si, tornando-se parte integrante da Internet. Nesse contexto, espera-se que as redes sem fios mantenham a interação direta entre os mais diversos dispositivos com recursos limitados em larga escala. No entanto, os protocolos de rede convencionais falham em ambientes móveis sem fios de larga escala, como cenários de IoT, devido à mobilidade dos nós, topologias dinâmicas e conectividade intermitente. O conceito de Rede Centrada em Informação (ICN) foi considerado o candidato mais promissor para superar as desvantagens das arquiteturas host-centric quando aplicado a redes IoT. O principal objetivo desta dissertação é melhorar o desempenho da rede e a disponibilidade de Conteúdos em ambientes IoT móveis com base na utilização do paradigma de ICN, o qual permite armazenamento em cache na rede e a replicação de Conteúdos, facilitando a entrega eficiente e oportuna de informações. Portanto, esta concentra-se em três objetivos principais: (1) a análise dos ambientes IoT juntamente com os aspetos de mobilidade; (2) o desenho e a implementação de uma proposta de caching em ICN capaz de tirar proveito das informações de contexto; (3) a incorporação da proposta mencionada numa arquitetura ICN e a avaliação do seu desempenho da rede. A proposta destaca-se pelo uso de uma política de admissão de caching que usa informações sobre o Conteúdo, os nós e a rede, providenciando um desempenho da cache mais eficaz. Os testes realizados usaram três conjuntos de dados distintos de mobilidade e conectividade, abordando casos de uso com comunicações intermitentes. Com base nos resultados obtidos, foi possível perceber que o uso de uma política de admissão de caching que tem em consideração vários parâmetros no contexto associado aos Conteúdos e ao nós da rede, traz benefícios em termos do rácio de acessos com sucesso e de remoção da cache, e do rácio de pedidos satisfeitos em ambientes IoT móveis.
Mestrado em Engenharia de Computadores e Telemática
Venkatasubramanian, Venkatkumar. "Opportunistic resource allocation and relaying methods for quality of service in the downlink of future cellular wireless networks". Thesis, 2011. https://vuir.vu.edu.au/21299/.
Pełny tekst źródłaOjaroudi, Parchin Naser, Yasir Al-Yasir, Ahmed M. Abdulkhaleq, Issa T. Elfergani, A. Rayit, James M. Noras, Jonathan Rodriguez i Raed A. Abd-Alhameed. "Frequency Reconfigurable Antenna Array for MM-Wave 5G Mobile Handsets". 2018. http://hdl.handle.net/10454/16680.
Pełny tekst źródłaThis study proposes a compact design of frequency-reconfigurable antenna array for fifth generation (5G) cellular networks. Eight compact discrete- fed slot antennas are placed on the top portion of a mobile phone printedcircuit- board (PCB) to form a beam-steerable array. The frequency response of the antenna can be reconfigured to operate at either 28 GHz or 38 GHz, two of the candidate frequency bands for millimeter-wave (MM-Wave) 5G communications. The reconfigurability function of the proposed design can be achieved by implementing and biasing a pair of diodes across each T-shaped slot antenna element. Rogers RT 5880 with thickness of 0.508 mm and properties of ε = 2.2 and δ = 0.0009 has been used as the antenna substrate. The antenna element is very compact in size with a good end-fire radiation pattern in the frequency bands of interest. The proposed beam-steerable array provides very good 3D coverage. The simulation results show that the proposed design provides some good characteristics fitting the need of the 5G cellular communications.
Innovation programme under grant agreement H2020-MSCA-ITN-2016 SECRET-722424, UK Engineering and Physical Sciences Research Council (EPSRC) under grant EP/E022936/1