Dissertations / Theses on the topic 'NB-IoT NETWORKS'
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PETTER, LAGUSSON, and NORDLÖF JOHANNA. "A Study of Low-Power Wide-Area Networks and an In-Depth Study of the LoRaWAN Standard." Thesis, KTH, Maskinkonstruktion (Inst.), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214595.
Full textGenom att kombinera låg dataöverföringshastighet och låg meddelandefrekvens kan LPWAN uppnå en kommunikation med lång räckvidd och låg energiförbrukning. Denna uppsats går igenom vad som karaktäriserar LPWAN i stort samt presenterar LPWAN-protokollen LoRaWAN, SigFox och NB-IoT. Den visar även en metod vilken kan användas för att utvärdera hur väl ett use case lämpar sig för LPWAN-tekniken. Slutligen görs en implementering av LoRaWAN i ett uppkopplat lås från ASSA ABLOY för att undersöka vilken prestanda som är möjlig att uppnå för åtta olika noder i två olika fallstudier. Låset utvärderades utfirån hur ofta det kunde skicka statusmeddelanden, hur tillförlitlig kommunikationen var samt hur mycket energi som förbrukades. Två av åtta noder placera-des långt in i sina respektive byggnader, den ena kunde endast skicka statusuppdateringar i intervaller om 150 sekunder och den andra lyckades inte leverera några datapaket alls. Fem noder lyckades skicka de flesta statusuppdateringerna i intervall under tio sekunder. Resultatet visade på en packet delivery ratio under 90% i samtliga fall förutom ett. Där placerades noden nära ett stort fönster och lyckades kommunicera med en gateway 3.22 km bort med en PDR på 97% och mindre än 10 sekunder mellan sändningarna. Detta resultat visar potentialen för LoRaWAN men belyser även hur beroende prestandan kommer att vara av hur låset placeras.
Wu, Qinlin. "Narrowband IoT Networks with Unmanned Aerial Base Stations." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Find full textVaka, Pradeep Reddy. "Security and Performance Issues in Spectrum Sharing between Disparate Wireless Networks." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/77960.
Full textMaster of Science
Sjöström, Daniel. "Unlicensed and licensed low-power wide area networks : Exploring the candidates for massive IoT." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214941.
Full textInom Internet of Things (IoT) kommer många applikationer att kräva låg effekt och låg kostnad för att uppnå en lång livstid och skala. Dessa typer av applikationer refereras till som massiv IoT, vilket står i motsats till kritisk IoT som kräver ultrahög tillförlitlighet och tillgänglighet och låg fördröjning. En typ av nätverk som ämnar tillgodose kraven av massiv IoT är Low-Power Wide Area Networks (LPWANs), och idag försöker många av dessa hävda sig inom IoT ekosystemet. Detta examensarbete undersöker LPWANs from ett teknisk och icke-tekniskt perspektiv för att utröna deras mångsidighet och påverkan på det framtida telekomlandskapet. Med avseende på spektrum kan de i detta examensarbete undersökta nätverken kategoriseras som olicensierat LPWAN eller licensierat LPWAN. Den tidigare hänvisar typiskt till proprietära lösningar och representeras i detta arbete av SigFox och LoRaWAN. Den senare kategorin består av EC-GSM-IoT, eMTC, och NB-IoT och kan betraktas som synonymt med mobil LPWAN eftersom de designade för att bli integrerade i existerande mobila nätverk. Resultaten indikerar att alla nätverk stödjer applikationer utan strikta krav när det gäller nedlänkens funktionalitet, mängden data per meddelande, och fördröjning. För applikationer utan dessa specifika krav (typiskt sensorer, mätare, spårning, etc.) är det inte en fråga om huruvida ett nätverk uppfyller kraven eller ej, utan snarare hur flexibla kraven är. Därför kommer valet av nätverk att bestämmas av icke-tekniska aspekter och en avvägning mellan kostnad och funktionalitet vari olicensierat LPWAN är vanligtvis billigare. Därmed erbjuder båda kategorier av nätverk en unik värde proposition och kan därför betraktas som komplementerande. Denna föreställning är förstärkt av att nätverken skiljer sig signifikant när det gäller deras icke-tekniska aspekter såsom ekosystem, reglering, ägandeskap och kontroll, och nätverks koordinering. Dessutom är olicensierade LPWANs troligen är förtruppen av en ny typ av konkurrent som erbjuder den grundläggande servicen av konnektivitet.
Yu, Yi. "Radio Resource Planning in Low Power Wide Area IoT Networks." Electronic Thesis or Diss., Paris, CNAM, 2021. http://www.theses.fr/2021CNAM1287.
Full textIn this thesis, we focus on radio resource planning issues for low power wide area networks based on NB-IoT and LoRa technologies. In both cases, the average behavior of the network is considered by assuming the sensors and the collectors are distributed according to independent random Poisson Point Process marked by the channel randomness. For the NB-IoT, we elaborate a statistical dimensioning model that estimates the number of radio resources in the network depending on the tolerated delay access, the density of active nodes, the collectors, and the antenna configuration with single and multi-user transmission. For the LoRa network, we propose a multi-sub band allocation technique to mitigate the high level of interference induced by nodes that transmit with the same spreading factor. To dynamically allocate the spreading factor and the power, we present a Q-learning multi-agent approach to improve the energy efficiency
Poluru, Raja Rohit. "Random Access Procedures for Narrow-Band Internet of Things via Non-Terrestrial Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
Find full textWolf, Florian. "Multi-channel ranging system for the localization of wireless connected objects in low power wide aea networks : From modeling to field trials." Thesis, Limoges, 2020. http://www.theses.fr/2020LIMO0017.
Full textThe Internet of Things (IoT) is an enabler to new applications, such as smart metering and environmental monitoring, intended to address current and future societal and ecological challenges. Things, possibly mobile or in distant locations, require wireless connectivity for data collection and remote control. Low Power Wide Area (LPWA) networks provide city-scale long-range, narrowband radio transmissions respecting the energy constraints of battery-powered low-cost objects. Being capable to localize these objects will add value to their data, enables tracking applications and is therefore a demanded and recent research topic. Precise and accurate radio signal delay based positioning without integrating additional hardware but taking advantage of intrinsic wireless communication signals is appealing in terms of device complexity, cost and energy consumption. However, radio localization within LPWA networks is challenging due to narrowband transmissions, resulting in a lack of delay precision as well as due to radio propagation channels, which degrade the accuracy of location estimates. This work addresses both challenges by investigating a multi-channel ranging system for LPWA networks. Coherently combining multiple sequentially transmitted narrowband signals on different radio channels improves delay estimation precision and allows resolving multipath channels for refined positioning accuracy. This scheme, based on instantaneous narrowband signals, conserves the LPWA long-range feature and is hence compatible with LPWA networks. A detailed signal model considering hardware imperfections as well as the required protocol exchanges for time, frequency and phase synchronization is developed. Based on this model, the requirements on radio transceiver architectures regarding the necessary phase coherence for multi-channel ranging are discussed. Lower bounds on the ranging precision are derived for both, free-space and multipath propagation channels, illustrating the improved precision compared to narrowband single channel ranging. Numerical simulations of radio signals for the two-way multi-channel ranging protocol illustrate that the performance of developed range estimators attains the theoretical precision bound and pave the way towards implementation. A flexible Software Defined Radio (SDR) based demonstrator is implemented to validate simulation results. Field trials in real urban outdoor environments are in accordance with simulation results and prove how scalable multi-channel ranging, in combination with advanced signal processing methods, will be an enabler towards precise and accurate localization in LPWA networks
Ortis, Pasamontes Enrique. "Comparison Study and Product Development using Wireless Narrowband Low-power Wide-area Network Technologies." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-227857.
Full textLeyva, 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.
Full textLa 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
Drápela, Roman. "Implementace a vyhodnocení komunikační technologie LTE Cat-M1 v simulačním prostředí Network Simulator 3." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400908.
Full textMožný, Radek. "Univerzální testovací zařízení pro ověření komunikačních parametrů technologie Narrowband IoT." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400912.
Full textSINGHAL, 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.
Full textChen, Wei-Ting, and 陳瑋廷. "NPDCCH Period Adaptation for Narrow-band Internet of Things (NB-IoT) Networks." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/32f68k.
Full textLin, Yi-Jyun, and 林怡均. "Adjustable Strictness Energy Efficient Monitoring on Water Distribution Networks with NB-IoT." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/669yxw.
Full text國立臺灣大學
電信工程學研究所
107
For monitoring on water distribution networks, the sensor network lifetime is important to be as long as possible due to the high cost to replace dead nodes underground. Narrow Band Internet of Things (NB-IoT) is a novel radio technology that well suits the features of public civil resource monitoring systems, such as massive amount of devices, low transmission data rates, and the needs of low energy consumption and good penetration to indoor or underground. Using NB-IoT as the wireless communication intermediary in our monitoring system, an operational strategy is proposed to prolong the sensor network lifetime. Our strategy can be divided into two phases. First, a k-extended-cover algorithm is designed to adjust the data resolution and prioritize the reporting of the data according to the distance between the sensor nodes. Second, an eDRX assignment policy is presented to balance power consumption and wake-up latency tradeoff, by using the result of the k-extended-cover algorithm. Next, a semi-Markov process is modeled to numerically analyze the system performance and to obtain the power saving factor and wake-up latency. Finally, the system performance is discussed with the simulation results.
Liu, Pei-Yi, and 劉佩宜. "Energy-Efficient Uplink Resource Scheduling for Ultra-Reliable Communications in NB-IoT Networks." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/e98z5n.
Full text國立交通大學
網路工程研究所
106
For 5G wireless communications, the 3GPP Narrowband Internet of Thing (NB-IoT) is one of the most promising technologies, which provides multiple types of Resource Unit (RU) with a special repetition mechanism to improve scheduling flexibility, coverage, and transmission reliability. Besides, NB-IoT supports different operation modes to reuse the spectrum of LTE and GSM, making bandwidth use more efficiently. As IoT devices usually need to operate for very long time, their energy consumption becomes a critical issue. NB-IoT provides discontinuous reception operation to save devices' energy. However, how to reduce transmission energy while ensuring required reliability under these operations is still an open issue. In this paper, we study how to guarantee reliable communication and satisfy devices' quality of service (QoS) while minimizing energy consumption for IoT devices. We first model the optimization problem and prove it to be NP-complete. Then, we propose an energy-efficient, ultra-reliable, and low-complexity scheme, which consists of two phases. The first phase tries to optimize the default transmit configurations of devices which incur the lowest energy consumption and satisfy devices' QoS requirements. The second phase leverages a weighting strategy to balance the urgency and slot availability and ensure delay constraint while maintaining energy efficiency. Extensive simulation results show that our scheme can serve more devices with guaranteed QoS while saving their energy effectively.
LIN, HUI-EN, and 林暉恩. "An Iterative Kernel-Gradient Learning Approach for Outdoor Localization in NB-IoT Networks." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/757ng4.
Full text國立臺北大學
資訊工程學系
107
Using a general licensed band like 4G positioning and unlicensed band like Lora have made many results, this thesis uses narrowband internet of things (NB-IoT) to achieve the target of reduce equipment costs and iterated through and build multiple kernel spaces to change the traditional training signal method. First performs outdoor location cluster classification, and then proposes a method of kernel-gradient learning, the kernel learning maps the input labeled, unlabeled and cross-domain data to the three- dimensional plane space, then uses the gradient learning method to fine-tune the parameters during the mapping process. In our approach, we propose a cluster classification scheme that combines unlabeled and cross-domain data based on finding the relationship of existing labeled data from the source domain. Using the new labeled data of unlabeled and cross-domain data, we repeatedly iterative fine-tune our target model by adding some new unlabeled samples, improved the output after several iteration. Basically, the more labeled data are used and added to the fine-tuning process, the higher the positioning accuracy, in our actual implementation, the standardization process handles a number of different signal characteristics, such as RSSI, SNR and localization to increase the prediction accuracy of positional accuracy. Finally, the experimental results show that the proposed scheme effectively improves the location average accuracy up about 87% and reduces the localization average error about 4 m, compared with another existing localization results.
Huang, Ji-Cheng, and 黃基城. "p-Hint: An ID-Free Paging Scheme for NB-IoT Networks with Massive Devices." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/837686.
Full text國立交通大學
網路工程研究所
105
IoT (Internet of Things) is an emerging network paradigm connecting a huge number of things. For energy saving, small things (sensors) usually stay in the idle mode and only wake up when they have traffic demands. In traditional LTE, the MME invokes UEs by notifying them via a paging message including a list of their IDs. However, such one-by-one notification will incur an unacceptable signaling overhead in an IoT network when the ID list is long. To address this issue, this work presents “page by hint” (p-Hint), an ID-free paging mechanism that allows the MME to page a large number of UEs using only a fixed-length hint. The key idea of p-Hint is to leverage hashing to encode and decode the hint message. In this thesis, we design two schemes for different scenario. Two schemes are based on simple hashing processes with one or multiple bit-vectors as filter. One is single-filter scheme while the other is dual-filter scheme. Through these filters, each UE checks whether its information is contained in the hint message via same hashing processes, and determines whether it should get up to do random access. To improve spectrum efficiency, we further mathematically derive the optimal length of the hint so as to maximize the expected number of UEs that can be successfully paged per unit of overhead. The simulation results show that p-Hint can page much more UEs simultaneously in a single paging procedure. As compared to legacy LTE-A, single-filter scheme reduces the overhead of successfully paging one UE, on average, by 85.7%, while dual-filter scheme reduces the overhead, on average, by 90.1%. We also observe that the average overhead required for successfully paging one UE in no more than 25 bits for single-filter scheme, and no more than 11 bits for dual-filter scheme, which both are much smaller than the size of UE ID (40-bit S-TMSI).
YUAN-ZHEN, ZHONG, and 鍾元禎. "The Study of reduction of channel interference in NB-IoT networks through Machine Learning." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/cz498j.
Full text國立中央大學
通訊工程學系
106
The 5G is coming soon after the 4G, the 5G will bring a great impact on the Internet of Things.It will be able to support the connection of wireless devices and support huge data traffic. It will provide IoT services at lower cost than today. Before the 5G is opened officially,The LPWAN (Low Power Wide Area Network,LPWAN) provides the power which the industry goes forward continually. It is worth noting that the use of licensed band NB-IoT (NarrowBand-IoT). Recently, the NB-IoT (FDD) application possibly can be affected by the LTE (TDD) construction. When the NB-IoT small base station uses the LTE frequency band for the uplink transmission.It can be interference by downlink power to leak from nearby the LTE eNB (Marco cell). For this reason, this paper proposed the NB-IoT (FDD) how to effectively and accurately allocate the power under the LTE (TDD) environment. Finally,it simulates the result indication the KM-Q algorithm which this paper proposed in any leakage environment all to be able to show the better power parameter, and establishes the leakage regression model achievement to prevent leakage the interference for the ultimate goal.
Martiradonna, Sergio. "Simulation Models and Advanced Management Techniques for 5G & Beyond Radio Access Networks." Doctoral thesis, 2022. http://hdl.handle.net/11589/232750.
Full text5th Generation (5G) is providing a significant transformation in the mobile network landscape. It introduces flexible and heterogeneous capabilities to harmoniously blend numerous technical components since a variety of advanced services are being developed, each one entailing different requirements. For this reason, 5G does not have a single air interface, but rather a family of air interfaces to adequately address specific use cases, all plugged into a common framework. Nonetheless, the effective management of such a broad diversity is an extremely ambitious goal to accomplish. To this end, this work pursues the goal of investigating several cutting-edge management techniques and simulation models for 5G & Beyond Radio Access Networks (RANs). Specifically, this thesis presents an open-source system-level tool to model the key elements of the 5G RAN and support the performance analysis of reference scenarios. Moreover, it examines NarrowBand IoT (NB-IoT), which is usually regarded as a promising radio access technology to meet the requirements of the 5G & Beyond development for the Internet of Things (IoT). Finally, it addresses the RAN Slicing problem leveraging Edge Computing and Artificial Intelligence (AI), which promise to turn future mobile networks into service- and radio-aware infrastructures.
Chen, Hsuan-Yeh, and 陳宣燁. "A Protocol to Protocol Switching Mechanism for Energy Saving of Power-Constrained Devices in LTE and NB-IoT Interworking Networks." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/h2u6c6.
Full text國立臺灣大學
資訊工程學研究所
106
The well development of Mobile Communications Networks (MCNs) causes the dramatically increasing of the smart devices. The smart devices such as wearable devices have limited battery lifetime so that it has the better choice to use the NB-IoT protocol to transmit the small data for the purpose of power saving. The wearable devices are also able to make the voice call through the VoLTE. Therefore, the interworking of the NB-IoT and LTE networks is necessary in the future. The power saving issue is generated if both NB-IoT and LTE interface of the UE attach to the networks. We propose the Protocol to Protocol Switching Mechanism (P2PSM) to enable the dual-mode UE to be supported in the NB-IoT and LTE interworking network and reduce the power consumption. The analytical models and simulation experiments are conducted to investigate the performance of the P2PSM mechanism. Our study shows that the proposed P2PSM mechanism can efficiently reduce the power consumption of the UE.
Cruz, Renato Mendes da. "Network Planning Model for NB-IoT." Master's thesis, 2019. https://hdl.handle.net/10216/122689.
Full textXue, Guan-Yi, and 薛貫一. "Study of Random Access Scheme and Its Resource Adaptive Allocation in NB-IoT Network." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/gnrs29.
Full text國立中央大學
通訊工程學系
106
3rd Generation Partnership Project (3GPP) proposed NB-IoT for IoT application in Release 13. It improves the scheduling for uplink from original LTE which determines the length of NPUSCH (Narrowband Physical Uplink Shared Channel) by the number of subcarriers and slots in NB-IoT. This design supports the IoT scenario which have the feature of massive devices and short data transmission. In Release 14, 3GPP also proposes that random access procedures can be supported in non-anchor carriers which can ease the congestion if all the UE used random access resource by anchor carrier. However, if eNB schedules NPRACH (Narrowband Physical Random Access Channel) in non-anchor carrier then it also compresses the resource that NPUSCH can use. So how to use non-anchor carrier resource efficiently would be an important issue. In this paper, we propose an algorithm which dynamic allocates non-anchor carrier resource adaptive according to the collision report send by UE. Finally, we try to strike a balance between keeping the random access successful rate and saving non-anchor carrier resource as far as possible.
Tsai, Justin, and 蔡岳廷. "The Study of Dynamic Interference Detection and power saving in NB-IOT Partial Network Deployment." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/tg4nep.
Full text國立中央大學
通訊工程學系
106
With the massive deployment of Internet of Things (IoT) devices, low-power wide area IoT connectivity has been introduced for LTE. In LTE Rel-13, two new features supporting narrowband machine type communications (MTC) are being introduced. The features are called eMTC (enhanced MTC) and Narrowband IoT (NB-IoT). Since NB-IoT design is based on existing LTE functionalities, it is possible to reuse the same hardware and also to share spectrum without coexistence issues. However, older equipment may not be able to support both LTE and NB-IoT simultaneously and a hardware upgrade may be required. In this case, NB-IoT deployment can be phased in where existing cell sites are incrementally upgraded to NB-IoT. So we investigate some of the problems arising from partial deployment of NB-IoT and potential solutions to resolve them. They include power boosting, coverage extension using repetition, and interference mitigation techniques such as resource blanking, LBT. In this paper we present the Adaptive interference and power allocation method to lower the collision and the energy consumption. The goal is to optimize the energy efficiency and resource allocation of the UE.