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Dissertations / Theses on the topic 'MIMO systems. Algorithms. Wireless communication systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Zheng, Gan. "Optimization in linear multiuser MIMO systems." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/HKUTO/record/B39557923.

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2

Zheng, Gan, and 鄭淦. "Optimization in linear multiuser MIMO systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39557923.

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3

Shao, Ziyun, and 邵子韵. "Design and analysis of detection algorithms for MIMO wireless communication systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47752804.

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The increasing demand for high-mobility and high data rate in wireless communications results in constraints and problems in the limited radio spectrum, multipath fading, and delay spread. The multiple-input multiple-output (MIMO) system has been generally considered as one of the key technologies for the next generation wireless communication systems. MIMO systems which utilize multiple antennas in both the transmit side and the receive side can overcome the abovementioned challenges since they are able to increase the channel capacity and the spectrum usage efficiency without the ne

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4

Peng, Wei. "Non-linear detection algorithms for MIMO multiplexing systems." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/HKUTO/record/B39558563.

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5

Peng, Wei, and 彭薇. "Non-linear detection algorithms for MIMO multiplexing systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39558563.

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6

Chan, Tsz Ho. "Link adaptation algorithms for MIMO-based WiMAX systems /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20CHANT.

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7

Roger, Varea Sandra. "Design and Implementation of Efficient Algorithms for Wireless MIMO Communication Systems." Doctoral thesis, Universitat Politècnica de València, 2012. http://hdl.handle.net/10251/16562.

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En la última década, uno de los avances tecnológicos más importantes que han hecho culminar la nueva generación de banda ancha inalámbrica es la comunicación mediante sistemas de múltiples entradas y múltiples salidas (MIMO). Las tecnologías MIMO han sido adoptadas por muchos estándares inalámbricos tales como LTE, WiMAS y WLAN. Esto se debe principalmente a su capacidad de aumentar la máxima velocidad de transmisión , junto con la fiabilidad alcanzada y la cobertura de las comunicaciones inalámbricas actuales sin la necesidad de ancho de banda extra ni de potencia de transmisión adicional. Si

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8

Gestner, Brian Joseph. "Lattice reduction for MIMO detection: from theoretical analysis to hardware realization." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39591.

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The objective of the dissertation research is to understand the complex interaction between the algorithm and hardware aspects of symbol detection that is enhanced by lattice reduction (LR) preprocessing for wireless MIMO communication systems. The motivation for this work stems from the need to improve the bit-error-rate performance of conventional, low-complexity detectors while simultaneously exhibiting considerably reduced complexity when compared to the optimal method, maximum likelihood detection. Specifically, we first develop an understanding of the complex Lenstra-Lenstra-Lovász (CLLL

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9

Tade, Foluwaso Olunkunle. "Receiver architectures for MIMO wireless communication systems based on V-BLAST and sphere decoding algorithms." Thesis, University of Hertfordshire, 2011. http://hdl.handle.net/2299/6400.

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Modern day technology aspires to always progress. This progression leads to a lot of research in any significant area of improvement. There is a growing amount of end-users in the wireless spectrum which has led to a need for improved bandwidth usage and BER values. In other words, new technologies which would increase the capacity of wireless systems are proving to be a crucial point of research in these modern times. Different combinations of multiuser receivers are evaluated to determine performance under normal working conditions by comparing their BER performance charts. Multiple input, m

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10

Zhao, Chunming. "Distortion-based crest factor reduction algorithms in multi-carrier transmission systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/26525.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Zhou, G. Tong; Committee Member: Kenney, J. Stevenson; Committee Member: Li, Ye (Geoffrey); Committee Member: Ma, Xiaoli; Committee Member: Yuan, Ming. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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11

Kapfunde, Goodwell. "Near-capacity sphere decoder based detection schemes for MIMO wireless communication systems." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/11350.

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The search for the closest lattice point arises in many communication problems, and is known to be NP-hard. The Maximum Likelihood (ML) Detector is the optimal detector which yields an optimal solution to this problem, but at the expense of high computational complexity. Existing near-optimal methods used to solve the problem are based on the Sphere Decoder (SD), which searches for lattice points confined in a hyper-sphere around the received point. The SD has emerged as a powerful means of finding the solution to the ML detection problem for MIMO systems. However the bottleneck lies in the de

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12

Gelal, Ece. "Cross-layer design for wireless networks using antenna arrays." Diss., [Riverside, Calif.] : University of California, Riverside, 2009. http://proquest.umi.com/pqdweb?index=0&did=1899476681&SrchMode=2&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268335334&clientId=48051.

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Thesis (Ph. D.)--University of California, Riverside, 2009.<br>Includes abstract. Title from first page of PDF file (viewed March 11, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 149-156). Also issued in print.

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13

Neal, Beau C. "Performance of MIMO Space-Time Coding Algorithms on a Parallel DSP Test Platform." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1888.pdf.

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14

Milliner, David Louis. "Low-complexity list detection algorithms for the multiple-input multiple-output channel." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/37248.

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Modern communication systems demand ever-increasing data rates. Meeting this increased demand is not easy due to regulation and fundamental physical constraints. The utilization of more than one antenna at both the transmitter and receiver produces a multiple-input multiple-output (MIMO) channel, thereby enabling (under certain channel conditions) increased data rates without the need for increased bandwidth or transmission power. Concurrent with this increase in bandwidth is an increase in the receiver's computational complexity which, for a brute-force detector, increases exponentially. For

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15

Hermosillo, Jesus Manuel. "Acoustic-based localization in wireless sensor networks using MISO Least Squares Estimators." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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16

Waters, Deric Wayne. "Signal Detection Strategies and Algorithms for Multiple-Input Multiple-Output Channels." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7514.

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In todays society, a growing number of users are demanding more sophisticated services from wireless communication devices. In order to meet these rising demands, it has been proposed to increase the capacity of the wireless channel by using more than one antenna at the transmitter and receiver, thereby creating multiple-input multiple-output (MIMO) channels. Using MIMO communication techniques is a promising way to improve wireless communication technology because in a rich-scattering environment the capacity increases linearly with the number of antennas. However, increasing the number of tr

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17

Bazco, Nogueras Antonio. "Fundamental Limits and Algorithms in Decentralized and Cooperative Wireless Networks." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS172.

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La coopération en réseau est connue pour apporter des gains multiplicatifs sous certaines hypothèses idéales. Cependant, les réseaux sans-fil actuels font face à de nombreuses contraintes, telles que des contraintes de délai serrées ou des liaisons de retour à débit limité. L'impact sur la performance de la transgression des hypothèses idéales a suscité un grand intérêt dans le milieu de la recherche. Néanmoins, l'accent a été mis sur des situations dans lesquelles l'information imparfaite est partagée par tous les nœuds, ce qui n'est pas réalisable dans de nombreux scénarios. Cette thèse vise

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18

Sansrimahachai, Puttachad. "Blind source separation algorithms for MIMO communication systems." Thesis, Imperial College London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419916.

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19

Wu, Xiping. "Wireless communication systems based on spatial modulation MIMO." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/10505.

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Spatial modulation (SM) is a unique single-stream, multiple-input multiple-output (MIMO) transmission technique. Unlike traditional MIMO schemes, SM sends out signals through a single active antenna, and achieves multiplexing gains by encoding information bits into the index of the currently active antenna. In contrast to multi-stream MIMO systems, this particular characteristic offers great superiority in two main aspects. Firstly, SM completely avoids inter-channel interference. Secondly, SM requires a single radio-frequency chain, regardless of the number of antennas used, and therefore exh

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20

Fan, Ho Yin. "MIMO detection schemes for wireless communication /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202002%20FAN.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 64-66). Also available in electronic version. Access restricted to campus users.

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21

Chan, Wing Chau. "Performance limits of MIMO wireless communications /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?ECED%202006%20CHANW.

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22

Ma, Lei. "Matrix computations in MIMO wireless systems : algorithms and SoC architectures." Thesis, Queen's University Belfast, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527939.

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23

Zhang, Li. "Signal processing for future MIMO-OFDM wireless communication systems." Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54757/.

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The combination of multiple-input multiple-output (MIMO) technology and orthogonal frequency division multiplexing (OFDM) is likely to provide the air-interface solution for future broadband wireless systems. A major challenge for MIMO-OFDM systems is the problem of multi-access interference (MAI) induced by the presence of multiple users transmitting over the same bandwidth. Novel signal processing techniques are therefore required to mitigate MAI and thereby increase link performance. A background review of space-time block codes (STBCs) to lever age diversity gain in MIMO systems is provide

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24

Abaza, Mohamed. "Cooperative MIMO techniques for outdoor optical wireless communication systems." Thesis, Brest, 2015. http://www.theses.fr/2015BRES0073/document.

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Au cours de la dernière décennie, les communications optiques en espace libre (FSO) ont pris de l’ampleur dans les deux domaines académiques et industriels. L’importance de FSO s’appuie sur la possibilité de faire un système de transmission économique et écologique avec un débit élevé et sans licence à l’opposition des systèmes de transmission radiofréquences (RF). Dans la plupart des travaux antécédents sur les systèmes multi-émetteurs, seulement les canaux décorrélés ont été considérés. Un canal décorrélé nécessite un espace suffisant entre les émetteurs. Cette condition devient difficile et

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25

Wu, Shangbin. "Massive MIMO channel modelling for 5G wireless communication systems." Thesis, Heriot-Watt University, 2015. http://hdl.handle.net/10399/2889.

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Massive Multiple-Input Multiple-Output (MIMO) wireless communication systems, equipped with tens or even hundreds of antennas, emerge as a promising technology for the Fifth Generation (5G) wireless communication networks. To design and evaluate the performance of massive MIMO wireless communication systems, it is essential to develop accurate, flexible, and efficient channel models which fully reflect the characteristics of massive MIMO channels. In this thesis, four massive MIMO channel models have been proposed. First, a novel non-stationary wideband multi-confocal ellipse Two-Dimensional (

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26

Jayasinghe, L. K. (Laddu Keeth Saliya). "Analysis on MIMO relaying scenarios in wireless communication systems." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526207391.

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Abstract The thesis concentrates on evaluating and improving performances of various multiple-input multiple-output (MIMO) relaying scenarios that are particularly relevant to future wireless systems. A greater emphasis is placed on important practical situations, considering relay deployments, availability of channel state information (CSI), limitations of spectrum, and information secrecy. Initially, the performance of a non-coherent amplify-and-forward (AF) MIMO relaying is analyzed when the relay is deployed with the relay-to-destination channel having a line-of-sight (LoS) path. The main

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27

Turpin, Michael J. "An investigation of a multiple-input-multiple-output communication system with the Alamouti Space-time code." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FTurpin.pdf.

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28

Maharaj, Bodhaswar Tikanath Jugpershad. "MIMO channel modelling for indoor wireless communications /." Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-07292008-130655/.

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29

Ding, Zhihong. "ARQ Techniques for MIMO Communication Systems." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1385.pdf.

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30

Kang, Deokwon. "MIMO beamforming in multiuser wireless environments." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 81 p, 2009. http://proquest.umi.com/pqdweb?did=1885755741&sid=5&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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31

Zhu, Xu. "Wireless MIMO antenna systems for frequency selective fading channels /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20ZHU.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 116-118). Also available in electronic version. Access restricted to campus users.

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32

Fu, Shengli. "Space-time coding and decoding for MIMO wireless communication systems." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 0.57Mb, 156 p, 2005. http://wwwlib.umi.com/dissertations/fullcit?3182631.

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33

Kurpjuhn, Tobias P. [Verfasser]. "Transmission Strategies in Wireless MIMO Communication Systems / Tobias P Kurpjuhn." Aachen : Shaker, 2004. http://d-nb.info/1170537502/34.

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34

Kuo, Ping-Heng. "Channel Variations in MIMO Wireless Communication Systems: Eigen-Structure Perspectives." Thesis, University of Canterbury. Electrical and Computer Engineering, 2007. http://hdl.handle.net/10092/1212.

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Many recent research results have concluded that the multiple-input multiple-output (MIMO) wireless communication architecture is a promising approach to achieve high bandwidth efficiencies. MIMO wireless channels can be simply defined as a link for which both the transmitting and receiving ends are equipped with multiple antenna elements. This advanced communication technology has the potential to resolve the bottleneck in traffic capacity for future wireless networks. Applying MIMO techniques to mobile communication systems, the problem of channel fading between the transmitters and recei

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35

Al-Askery, Ali Jaber Abdulwahab. "Reduced complexity detection for massive MIMO-OFDM wireless communication systems." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3880.

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The aim of this thesis is to analyze the uplink massive multiple-input multipleoutput with orthogonal frequency-division multiplexing (MIMO-OFDM) communication systems and to design a receiver that has improved performance with reduced complexity. First, a novel receiver is proposed for coded massive MIMO-OFDM systems utilizing log-likelihood ratios (LLRs) derived from complex ratio distributions to model the approximate effective noise (AEN) probability density function (PDF) at the output of a zero-forcing equalizer (ZFE). These LLRs are subsequently used to improve the performance of the de

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36

Zhang, Guchun. "Models and performances of wireless MIMO and cooperative communication systems." Thesis, Aston University, 2009. http://publications.aston.ac.uk/15411/.

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Multiple-antenna systems offer significant performance enhancement and will be applied to the next generation broadband wireless communications. This thesis presents the investigations of multiple-antenna systems – multiple-input multiple-output (MIMO) and cooperative communication (CC) – and their performances in more realistic propagation environments than those reported previously. For MIMO systems, the investigations are conducted via theoretical modelling and simulations in a double-scattering environment. The results show that the variations of system performances depend on how scatterer

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37

Alsaadi, Fuad Eid S. "MIMO MC-CDMA systems over indoor optical wireless communication channels." Thesis, University of Leeds, 2011. http://etheses.whiterose.ac.uk/1902/.

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Optical wireless communication systems offer a number of advantages over their radio frequency counterparts. The advantages include freedom from fading, freedom from spectrum regulations and abundant bandwidth. The main limitations of optical wireless systems include background noise attributed to natural and artificial light sources and multipath propagation. The former degrades the signal to noise ratio while the latter limits the maximum achievable data rate. This thesis investigates the use of transmit power adaptation in the design of optical wireless spot-diffusing systems to increase th

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38

Eneh, Titus Ikechukwu. "Adaptive MMSE multiuser receivers in MIMO OFDM wireless communication systems." Thesis, University of Greenwich, 2011. http://gala.gre.ac.uk/8041/.

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In a bid to cope with challenges of increasing demand for higher data rate, better quality of service, and higher network capacity, there is a migration from Single Input Single Output (SISO) antenna technology to a more promising Multiple Input Multiple Output (MIMO) antenna technology. On the other hand, Orthogonal Frequency Division Multiplexing (OFDM) technique has emerged as a very popular multi-carrier modulation technique, thus it is considered as a promising solution to enhance the data rate of future broadband wireless communication systems. The first contribution of this thesis is th

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39

Conder, Phillip. "Using multipath fading to increase performance of wireless communication systems." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20061005.155049/index.html.

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40

Liu, Yi. "The performance of future wireless communication systems." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:a2f0b75e-3b0d-406e-af1b-6c5038c18fae.

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Multimedia services provided through wireless networks, such as mobile television and video calls, have recently attracted great attention. These systems require higher data rates, better communication quality, and wider channel bandwidth compared with traditional wireless network services, such as voice calling and text messaging. In response to these demands, multiple-input multiple-output (MIMO) employing multiple antennas at both transmitter and receiver, has been investigated in recent years. Nevertheless, the major impediment in MIMO based wireless systems is the cost of the hardware due

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41

Yao, Yao, and 姚瑤. "Carrier synchronization techniques in MIMO systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31246230.

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42

Yan, Jie Bang. "On-chip and MIMO antennas for furture wireless communications /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?ECED%202008%20YAN.

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43

Bala, Erdem. "Multichannel, multiuser and multiple antenna wireless communication systems." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 184 p, 2007. http://proquest.umi.com/pqdlink?did=1251904851&Fmt=7&clientId=79356&RQT=309&VName=PQD.

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44

Shao, Lei. "Code design for MIMO-OFDM(A) systems /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/5859.

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45

Lakshmanan, Sriram. "Cooperative communication in wireless networks: algorithms, protocols and systems." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42702.

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Current wireless network solutions are based on a link abstraction where a single co-channel transmitter transmits in any time duration. This model severely limits the performance that can be obtained from the network. Being inherently an extension of a wired network model, this model is also incapable of handling the unique challenges that arise in a wireless medium. The prevailing theme of this research is to explore wireless link abstractions that incorporate the broadcast and space-time varying nature of the wireless channel. Recently, a new paradigm for wireless networks which uses the id

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46

Jabbour, Imad W. "Simulation of models and algorithms for wireless communication systems." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/38950.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2007.<br>Includes bibliographical references (leaf 61).<br>The thesis presents a set of simulations of models and algorithms for wireless communication systems. The simulations are developed using graphical MATLAB interfaces, and cover the fundamentals of wireless channel modeling, the advantages and limitations of antenna beamforming in multiuser systems, and the underlying principles of OFDM. The thesis targets two types of audiences in particular: students and wireless industry professionals.

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47

Karabulut, Gunes. "Matching pursuit algorithms with applications in wireless communication systems." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/29354.

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Signal decomposition finds its applications in a wide range of areas. The problem of basis selection for signal decomposition consists of determining a small, possibly smallest, subset of vectors chosen from a large redundant set of vectors to match the given data. However, it is shown that finding the sparsest solution to linear systems is a nondeterministic polynomial time (NP) hard problem and requires combinatorial search. For a simpler solution, greedy heuristic algorithms, namely matching pursuit (MP) algorithms are proposed. These algorithms require sequential selection of basis vectors

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48

Myllylä, M. (Markus). "Detection algorithms and architectures for wireless spatial multiplexing in MIMO-OFDM systems." Doctoral thesis, Oulun yliopisto, 2011. http://urn.fi/urn:isbn:9789514294334.

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Abstract The development of wireless telecommunication systems has been rapid during the last two decades and the data rates as well as the quality of service (QoS) requirements are continuously growing. Multiple-input multiple-output (MIMO) techniques in combination with orthogonal frequency-division multiplexing (MIMO–OFDM) have been identified as a promising approach for high spectral efficiency wideband systems. The optimal detection method for a coded MIMO–OFDM system with spatial multiplexing (SM) is the maximum a posteriori (MAP) detector, which is often too complex for systems with hig

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49

Dong, Lu. "MIMO Selection and Modeling Evaluations for Indoor Wireless Environments." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19767.

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Array-to-array, or multiple-input multiple-output (MIMO), links are known to provide extremely high spectral efficiencies in rich multipath environments, such as indoor wireless environments. The selection of a subset of receiver array antennas for a MIMO wireless link has been studied by many as a way to reduce cost and complexity in a MIMO system while providing diversity gain. Combined with a switched multi-beam beamformer, it becomes the beam selection system that can gain high signal-to-interference ratio (SIR) improvement in an interference-imited environment. The objective of this rese

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Wu, Xiaoting. "Array signal processing for MIMO radar /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?ECED%202009%20WU.

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