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Dissertations / Theses on the topic 'MIMO multi users'

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Published: 25 May 2024
Last updated: 31 July 2025

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1

Ghamnia, Imène. "Rate balancing methods for multi-user MIMO systems with perfect or partial CSIT." Electronic Thesis or Diss., Sorbonne université, 2021. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2021SORUS234.pdf.

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Avec la progression de l'utilisation des smartphones, les modèles de systèmes ont rapidement évolué pour répondre aux besoins croissants en terme de capacité dans les réseaux sans fil. En effet, les progrès technologiques ont été considérables, depuis les communications point à point mono-utilisateur et mono-antenne jusqu'aux réseaux cellulaires multi-cellules et multi-antennes. Depuis la 3G, la technologie MIMO (multiple-input multiple-output) pour les communications sans fil est désormais intégrée aux normes de la large bande sans fil. L'ajout de plusieurs antennes, tant du côté de l'émetteu
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2

Choi, Lai U. "Multi-user MISO and MIMO transmit signal processing for wireless communication /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20CHOI.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 167-170). Also available in electronic version. Access restricted to campus users.
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3

Stanković, Veljko. "Multi-user MIMO wireless communications." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=985258039.

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4

Wei, Chun-Yi. "Iterative downlink multi-user MIMO systems." Thesis, University of Southampton, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485522.

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In this treatise, we explore diverse multi-user transmission techniques and joint detection-decoding schemes designed for downlink multi-user transmissions, while maintaining a low complexity, a high throughput and a high integrity. More specifically, in Chapter 2 we will introduce various Multi-User Transmission (MUT) techniques for the Space Division Multiple Access Down-Link (DL-SDMA) employing the sophisticated linear SpatioTemporal Pre-processing (STP) schemes, which are capable of eliminating the multi-user interference at the Base Station (BS) and increase the transmission integrity at
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5

Wang, Cheng. "Adaptive downlink multi-user MIMO wireless systems /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?ECED%202007%20WANG.

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6

Keskin, Faruk. "Precoding for MIMO multi-user mobile radio downlinks." [Kaiserslautern] : [Universitätsbibliothek], 2007. http://d-nb.info/989961354/34.

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7

Anderson, Adam L. "Correlation-based beamforming for multi-user MIMO channels." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3331446.

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Thesis (Ph. D.)--University of California, San Diego, 2008.<br>Title from first page of PDF file (viewed December 16, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 144-151).
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8

Patcharamaneepakorn, Piya. "Precoding designs for multi-user MIMO and multi-cell cooperative systems." Thesis, University of Bristol, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.649371.

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In this thesis, linear precoding designs and scheduling algorithms are studied based on the maximum Signal-to-Leakage-plus-Noise Ratio (SLNR) criteria in single-cell Multi-user MIMO (MU-MIMO) systems as well as in multi-cell MIMO cooperative networks. The conventional SLNR precoding scheme is firstly investigated. Analytic expressions of the conventional SLNR-based solution are derived and are shown to be a generalised form of regularised channel inversion techniques. Consequently, equivalence between the SLNR and other regularised channel inversion schemes for the case of single-antenna and m
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9

Tervo, O. (Oskari). "Effective channel state acquisition in multi-cell multi-user MIMO system." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201306011414.

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In a cellular network with small cells, where all the communication resources are shared, the inter-cell interference becomes a limiting factor of performance. The strategies for mitigating the inter-cell interference has been quite extensively studied lately. One of the promising candidates is coordinated beamforming/scheduling, where a certain number of cells is allowed to cooperate such that the transmission from each cell takes into account the interference it would cause to the users of other cells. In this thesis, the performances of different signaling strategies which perform the weigh
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10

Chen, Chiang-Yu. "Optimized resource allocation for MIMO multi-carrier multi-user communication systems /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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11

Unachukwu, Chinazo Onyinye. "Improved interference management techniques for multi-cell multi-user MIMO systems." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/8100/.

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One major limiting factor for wireless communication systems is the limited available bandwidth for cellular networks. Current technologies like Long Term Evolution (LTE) and LTE-Advanced (LTE-A) have standardised a frequency reuse factor of 1 to enable more channel resources in each cell. Also multi-layer networks that consist of overlapping macro cells and small cells like pico cells, micro cells and femto cells have also been used to improve the capacity of the cellular network system. These multi-layer networks are known as heterogeneous networks or HetNets while the single layer, traditio
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12

Mollén, Christopher. "Low-PAR Precoding for Very-Large Multi-User MIMO Systems." Thesis, Linköpings universitet, Kommunikationssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94627.

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Storskaliga fleranvändar-MIMO-system, med hundratals basstationsantenner, studeras med allt större intresse både inom akademin och industrin. En anledning är att sådana system kan betjäna flera enantennsanvändare samtidigt över samma tids-frekvens-resurs med fleranvändarförkodning. Det innebär högre datahastigheter och bättre spektral effektivitet. En annan anledning är att basstationens energiförbrukning förväntas avta linjärt med antalet antenner tack vare den ökade antennförstärkningen. För att möjliggöra den stora ökningen av antalet antenner, måste priset per antenn, med dess sändtagarked
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13

Khasawneh, Mohammad Naser Fawwaz. "Comparison study for multi-user MIMO channel estimation techniques." Thesis, Wichita State University, 2009. http://hdl.handle.net/10057/2502.

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Channel estimation problem is a crucial state of the art research topic that has been addressed in the literature for the past decade. The importance of such research area emerged from the fact that telecommunication scholars are searching for a wireless telecommunication system that provides a minimum error performance yet can utilize the used spectrum efficiently. Channel estimation is a common practice in most of the wireless communication systems to give the receiver an indication about the channel conditions and hence will affect his decision in detecting the transmitted information This
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14

Mung'au, Franklin. "Channel estimation for Gigabit Multi-user MIMO-OFDM Systems." Thesis, University of Hull, 2008. http://hydra.hull.ac.uk/resources/hull:996.

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The fundamental detection problem in fading channels involves the correct estimation of transmitted symbols at the receiver in the presence of Additive White Gaussian Noise (AWGN). Detection can be considered when the receiver is assumed not to know the channel (non-coherent detection), or alternatively, when the random channel is tracked at the receiver (coherent detection). It can be shown that for a given error probability, coherent detection schemes require a Signal to Noise Ratio (SNR) that is 3dB less than the SNR required for non-coherent detection schemes. It is also known that the per
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15

Pan, Zhengang, and 潘振崗. "Generalized beamforming for downlink of multi-user MIMO systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29636139.

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16

Sharma, Maneesha. "Effective channel state information (CSI) feedback for MIMO systems in wireless broadband communications." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/71549/2/Maneesha_Sharma_Thesis.pdf.

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This research has analysed both reciprocity and feedback mechanisms in multi-antenna wireless systems. It has presented the basis of an effective CSI feedback mechanism that efficiently provides the transmitter with the minimum information to allow the accurate knowledge of a rapidly changing channel. The simulations have been conducted using MATLAB to measure the improvement when the channel is estimated at the receiver in a 2 X 2 multi-antenna system and compared to the case of perfect channel knowledge at the receiver.
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17

Mukherjee, Amitav Kwon Hyuck M. "Compact multi-user wideband MIMO system using multiple-mode antennas." Diss., A link to full text of this thesis in SOAR, 2007. http://soar.wichita.edu/dspace/handle/10057/1159.

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Thesis (M.S.)--Wichita State University,College of Engineering. Dept. of Electrical and Computer Engineering.<br>"May 2007." Title from PDF title page (viewed on Dec. 27, 2007). Thesis adviser: Hyuck M. Kwon. Includes bibliographic references (leaves 29-33).
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18

Keskin, Faruk [Verfasser]. "Precoding for MIMO multi-user mobile radio downlinks / Faruk Keskin." [Kaiserslautern] : [Universitätsbibliothek], 2007. http://d-nb.info/989961354/34.

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19

Alkhaled, Makram Hashim Mahmood. "Performance enhancement of massive MIMO systems under channel correlation and pilot contamination." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/performance-enhancement-of-massive-mimo-systems-under-channel-correlation-and-pilot-contamination(05802cd8-8265-40a0-a9b6-9fe8ab5cfde2).html.

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The past decade has seen an enormous increase in the number of connected wireless devices, and currently there are billions of devices that are connected and managed by wireless networks. At the same time, the applications that are running on these devices have also developed significantly and became more data rate insatiable. As the number of wireless devices and the demand for a high data rate will always increase, in addition to the growing concern about the energy consumption of wireless communication systems, the future wireless communication systems will have to meet three main requireme
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20

Khan, Mohammed Saif, and Erik G. Larsson. "Per-Antenna Constant Envelope Precoding for Large Multi-User MIMO Systems." Linköpings universitet, Institutionen för systemteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93866.

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We consider the multi-user MIMO broadcast channel with M single-antenna users and N transmit antennas under the constraint that each antenna emits signals having constant envelope (CE). The motivation for this is that CE signals facilitate the use of power-efficient RF power amplifiers. Analytical and numerical results show that, under certain mild conditions on the channel gains, for a fixed M, an array gain is achievable even under the stringent per-antenna CE constraint. Essentially, for a fixed M, at sufficiently large N the total transmitted power can be reduced with increasing N while ma
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21

McCarthy, Stephen J. "Investigation of Power Reduction Methods for Multi-User MIMO WLAN Applications." University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1416778581.

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22

Yoo, Taesang. "Sum-capacity, scheduling, and multi-user diversity in MIMO broadcast systems /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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23

Atapattu, Lakmali Nadisha Kumari. "Channel tracking in SDMA-based multi-user MIMO-OFDM communications systems." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/65272/1/Lakmali_Atapattu_Thesis.pdf.

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Capacity of current and future high data rate wireless communications depend significantly on how well changes in the wireless channel are predicted and tracked. Generally, this can be estimated by transmitting known symbols. However, this increases overheads if the channel varies over time. Given today’s bandwidth demand and the increased necessity for mobile wireless devices, the contributions of this research are very significant. This study has developed a novel and efficient channel tracking algorithm that can recursively update the channel estimation for wireless broadband communications
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24

Fuchs-Lautensack, Martin. "Advances in multi-user scheduling and turbo equalization for wireless MIMO systems." Ilmenau ISLE, 2009. http://d-nb.info/995974241/04.

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25

Kouassi, Boris Rodrigue. "Stratégies de coopération dans les réseaux radio cognitif." Phd thesis, Université Nice Sophia Antipolis, 2013. http://tel.archives-ouvertes.fr/tel-00921559.

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Les réseaux radio actuelles utilisent le spectre inefficacement, car une bande de fréquence est allouée de façon permanente à une technologie spécifique. Vu que le spectre est une ressource limitée, cette attribution statique ne pourra bientôt plus combler les besoins des systèmes de transmission qui ne cessent de croître. On peut toutefois optimiser l'utilisation du spectre en permettant des transmissions secondaires (SU) dans les espaces libres du primaire (PU). Cette vision constitue l'objectif principal de la radio cognitive. Nous proposons d'évaluer les stratégies de transmission pour la
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26

Ilmiawan, Shubhi. "Performance Enhancement of MIMO Transmission Techniques with Limited Number of Receive Antennas." Kyoto University, 2017. http://hdl.handle.net/2433/227664.

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27

Knabe, Frederic [Verfasser]. "Transmit strategies for MIMO multi-user channels with AF-relay / Frederic Knabe." Ulm : Universität Ulm. Fakultät für Ingenieurwissenschaften und Informatik, 2014. http://d-nb.info/1048386236/34.

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28

Aljohani, Abdullah. "Advanced signal processing techniques for single-carrier Multi-user MIMO Wireless communications." Thesis, Loughborough University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.510321.

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29

Kokshoorn, Matthew Luke. "Channel Estimation and Beam Training for Millimeter Wave Mobile Networks: Point-to-Point, Multi-User, and Multi-Cell." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18082.

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The global shortage of microwave bandwidth has become a critical issue that may inhibit the growth of mobile networks needing to support content-rich applications. For this reason, the underutilized millimeter wave (mmWave) spectrum has attracted significant attention as a medium to support next-generation mobile. Although this spectrum has an abundance of available bandwidth, mmWave wave frequencies also have propagation characteristics that make digital communication very challenging. Due to the signals atmospheric, reflection, and penetration losses, this spectrum suffers from much greater
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30

Wu, Hanguang [Verfasser]. "Adaptive Multi-user MIMO Resource Allocation for Uplink DFT-precoded OFDMA / Hanguang Wu." Aachen : Shaker, 2010. http://d-nb.info/1084536552/34.

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31

Ou, Zhao. "Sum Rate Analysis and Dynamic Clustering for Multi-user MIMO Distributed Antenna Systems." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/217207.

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32

Müller, Axel. "Random Matrix Analysis of Future Multi Cell MU-MIMO Networks." Thesis, Supélec, 2014. http://www.theses.fr/2014SUPL0021/document.

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Les futurs systèmes de communication sans fil devront utiliser des architectures cellulaires hétérogènes composées de grandes cellules (macro) plus performantes et de petites cellules (femto, micro, ou pico) très denses, afin de soutenir la demande de débit en augmentation exponentielle au niveau de la couche physique. Ces structures provoquent un niveau d'interférence sans précèdent à l'intérieur, comme à l'extérieur des cellules, qui doit être atténué ou, idéalement, exploité afin d'améliorer l'efficacité spectrale globale du réseau. Des techniques comme le MIMO à grande échelle (dit massive
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33

Coskun, Adem. "Downlink Transmission Techniques For Multi User Multi Input Multi Output Wireless Communications." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608750/index.pdf.

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Multi-user MIMO (MIMO-MU) communication techniques make use of available channel state information at the transmitter to mitigate the inter-user interference. The goal of these techniques is to provide the least interference at the mobile stations by applying a precoding operation. In this thesis a comparison of available techniques in the literature such as Channel Decomposition, SINR Balancing, Joint-MMSE optimization is presented. Novel techniques for the MIMO multi-user downlink communication systems, where a single stream is transmitted to each user are proposed. The proposed methods, dif
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34

Fuchs-Lautensack, Martin [Verfasser]. "Advances in multi-user scheduling and turbo equalization for wireless MIMO systems / Martin Fuchs-Lautensack.ISLE." Ilmenau : ISLE, 2009. http://d-nb.info/99975128X/34.

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35

Shi, Yan. "Robust Signaling, Scheduling and Authentication in the Multi-User Multiple-Input-Multiple-Output Channel." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2808.

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Multiple-input multiple-output (MIMO) networks are known to be able to achieve throughput performance superior to that available from single-input single-output (SISO) systems. However, when applying MIMO in multi-user networks, achieving this throughput advantage requires efficient precoding and optimal network scheduling. Furthermore, MIMO radios can help ensure security in a multi-user network. Previous work has proposed various precoding techniques for the MIMO broadcast channel, based either on channel state information (CSI) or channel distribution information (CDI), which achieve optima
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36

Soysal, Alkan. "Optimum transmit strategies for Gaussian multi-user MIMO systems with partial CSI and noisy channel estimation." College Park, Md.: University of Maryland, 2008. http://hdl.handle.net/1903/7859.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2008.<br>Thesis research directed by: Dept. of Electrical and Computer Engineering . Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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37

Gunyan, Scott Nathan. "An Examination into the Statistics of the Singular Vectors for the Multi-User MIMO Wireless Channel." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd539.pdf.

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38

Zheng, YI. "MULTI-USER MULTI-ANTENNA COOPERATIVE CELLULAR SYSTEMS." Thesis, 2013. http://hdl.handle.net/1974/8088.

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To meet the very high data rate requirements for wireless Internet and multimedia services, cooperative systems with multiple antennas have been proposed for future generation wireless systems. In this thesis, we focus on multiple antennas at the source, relay and destination. We study both downlink and uplink cooperative systems with single antenna relays. For downlink systems, the optimal precoder to minimize the sum transmit power subject to quality of service (QoS) constraints with fixed relay weights is derived. We also study the optimization of relay weights with a fixed precoder. An ite
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39

Stanković, Veljko Haardt Martin. "Multi-user MIMO wireless communications /." 2007. http://www.gbv.de/dms/ilmenau/toc/528883909.PDF.

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40

LIN, CHUN-YU, and 林俊宇. "User Grouping Algorithms for Multi-user MIMO systems." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/7mdnkx.

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碩士<br>國立中正大學<br>通訊工程研究所<br>106<br>With the rapid development of communication technologies, the 4th generation (4G) system has been widely deployed. Due to the increase of networking devices, 4G networks will become more and more difficult to offer such a heavy data traffic from massive devices. The future 5th generation (5G) system will be able to improve system capacity in the same cell. In a small area with a large number of networked devices, the base station can not serve all of the devices at the same time due to large interference between signals of different users. To solve this proble
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41

葉信妤. "Multi-user MIMO System Precoder Design." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/59879067868675882361.

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碩士<br>國立交通大學<br>電信工程研究所<br>100<br>In multi-user MIMO channel downlink transmission, the base station sums the data for each user and then transmits. Although transmitting data simultaneously to multiple users can increase channel capacity, every user would receive the data for him as well as data for others, which is co-channel interference. In order to cancel the co-channel interference previously, the base station precodes the data before transmitting. As a result, every user can receive data intended for him correctly with interference as little as possible. Besides, when total receiving an
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42

Zeng, Yan-Heng, and 曾彥衡. "Multi-user and Multi-channel User Grouping Algorithms for MIMO Systems." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/fra3jv.

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碩士<br>國立中正大學<br>通訊工程研究所<br>104<br>Since the radio spectrum is a finite and precious resource, the spectrum arrangement for multi-user MIMO (MU-MIMO) wireless networks is an important problem. In this paper, we propose two complexity user pairing strategies for MU-MIMO downlink scenario. The goal of sum rate user selection strategy is to select users which have the maximum sum of data rate in certain frequency resources to enhance system throughput. This problem has been shown to be an NP-hard problem, since for any given users, to find the optimum precoding matrices with maximal throughput is
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43

Paddington, Chiguvare. "Power allocation and user selection in multi-cell: multi-user massive MIMO systems." Thesis, 2017. https://hdl.handle.net/10539/25218.

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Submitted in fulfilment of the academic requirements for the degree of Master of Science (Msc) in Engineering, in the School of Electrical and Information Engineering (EIE), Faculty of Engineering and the Built Environment, at the University of the Witwatersrand, Johannesburg, South Africa, 2017<br>The benefits of massive Multiple-Input Multiple-Output (MIMO) systems have made it a solution for future wireless networking demands. The increase in the number of base station antennas in massive MIMO systems results in an increase in capacity. The throughput increases linearly with an increase in
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44

Shih, Wan-Yi, and 石宛以. "User and Antenna Selection for Multi-User MIMO Broadcast Communication." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/73285v.

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碩士<br>國立交通大學<br>電信工程研究所<br>107<br>Successive zero-forcing DPC (SZFDPC) combines DPC and zero-forcing technologies. However, the null space constraint limits on the number of users that can be supported simultaneously. In the past researches, the way of user selection made sum rate capacity restricted. In this correspondence, we consider the problem of user and antenna selection of SZFDPC for multiuser MIMO (MU-MIMO) broadcast channel (BC). Make choices for the users and antennas simultaneously, no longer treat all antennas in a user as one unit. We develop three antenna and user scheduling alg
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45

Stanković, Veljko [Verfasser]. "Multi-user MIMO wireless communications / von Veljko Stanković." 2007. http://d-nb.info/985258039/34.

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46

Liu, Zhong-Rong, and 劉中榮. "Modified block diagonalization for multi-user MIMO systems." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/26384634800845450131.

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碩士<br>國立交通大學<br>電子工程學系 電子研究所<br>104<br>For the past twenty years, multiple-input multiple-output (MIMO) had been widely researched. From point to point (P2P) to multi-user MIMO (MU-MIMO), the user terminals (UTs) can share the same resource block, but cause inter-antenna interference (IAI) and multi-user interference (MUI). In order to resolve influence of interference in multi-user communication systems, the base station and users have to design precoding and decoding scheme. Block Diagonalization (BD) is a well-known algorithm in past research which has two structure precoding process. In th
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47

Zhu, Jun. "Performance evaluation of low-complexity multi-cell multi-user MIMO systems." Thesis, 2011. http://hdl.handle.net/1828/3266.

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The idea of utilizing multiple antennas (MIMO) has emerged as one of the significant breakthroughs in modern wireless communications. MIMO techniques can improve the spectral efficiency of wireless systems and provide significant throughput gains. As such, MIMO will be increasingly deployed in future wireless systems. On the other hand, in order to meet the increasing demand for high data rate multimedia wireless services, future wireless systems are evolving towards universal frequency reuse, where neighboring cells may utilize the same radio spectrum. As such, the performance of future
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48

Yang, Hsuan, and 楊璿. "Low Complexity User Pairing Strategies for Downlink Multi-User MIMO Systems." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/60980471467152618464.

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碩士<br>國立中正大學<br>通訊工程研究所<br>99<br>Since the radio spectrum is a finite and precious resource, the spectrum arrangement for multi-user MIMO (MU-MIMO) wireless networks is a well discussed problem. User pairing can be considered as a kind of spectrum arrangement. Employing the pairing schemes appropriately can improve the system throughput significantly and facilitate effective use of radio spectrum. In this paper, we propose two complexity user pairing strategies for MU-MIMO downlink scenario. The goal of sum rate pairing strategy is selecting two users which have the maximum sum of data rate in
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49

Wen, Kuang-Ming, and 溫光明. "Low Complexity User Grouping for Proportional Fair Multi-User MIMO Scheduling." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/16185318342226112906.

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碩士<br>國立中央大學<br>通訊工程學系<br>102<br>With the development of multimedia applications and mobile broadband technology network, bandwidth demand is much more higher than before, it causes frequency efficiency higher and higher. Actually, high-speed downlink/uplink transmission in 4G wireless system has been one of basic requirement. Spatial-Division Multiple Access(SDMA) is one of the solutions to improve frequency efficiency; Multi-User Multi-Input Multi-Output(MU-MIMO) is one the application of SDMA. In the paper, we proposed a single-cell scheduling considering both channel quality and fairness
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Maddah-Ali, Mohammad Ali. "Communication over MIMO Multi-User Systems: Signalling and Fairness." Thesis, 2007. http://hdl.handle.net/10012/3173.

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Employment of the multiple-antenna transmitters/receivers in communication systems is known as a promising solution to provide high-data-rate wireless links. In the multi-user environments, the problems of signaling and fairness for multi-antenna systems have emerged as challenging problems. This dissertation deals with these problems in several multi-antenna multi-user scenarios. In part one, a simple signaling method for the multi-antenna broadcast channels is proposed. This method reduces the MIMO broadcast system to a set of parallel channels. The proposed scheme has several desirable fea
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