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Transmission and Reception Techniques for Cooperative and Large-Scale MIMO Wireless Systems Open Access


Other title
Massive MIMO
Coordinated multi-point (CoMP)
Multiple-input multiple-output (MIMO)
Large-system analysis
Pilot contamination mitigation
Vector perturbation precoding
Cooperative and large-scale MIMO wireless systems
User scheduling
Network MIMO
Type of item
Degree grantor
University of Alberta
Author or creator
Mazrouei Sebdani, Mahmood
Supervisor and department
Krzymien, Witold A. (Electrical and Computer Engineering)
Examining committee member and department
Tellambura, Chintha (Electrical and Computer Engineering)
Shen, Xuemin (Sherman) (University of Waterloo, Electrical and Computer Engineering)
Jiang, Hai (Electrical and Computer Engineering)
Jing, Yindi (Electrical and Computer Engineering)
Department of Electrical and Computer Engineering
Date accepted
Graduation date
Doctor of Philosophy
Degree level
Current and future broadband cellular systems have to employ efficient techniques for the transmission and reception of high speed data. Equipping transmitters and receivers with multiple-antennas is a major step in this direction as it has the potential of providing a substantial spatial multiplexing gain. Unfortunately, interference from adjacent cells is an impediment to the spatial multiplexing gain promised by MIMO techniques. There exist solutions to mitigate the inter-cell interference in MIMO cellular systems, the most promising being coordinated multi-point (CoMP) transmission/reception (also known as network MIMO) and large-scale MIMO (also known as massive MIMO). The focus of this thesis is on multi-user MIMO techniques including precoding and user scheduling for large-scale and cooperative MIMO wireless systems. In this study, we design and analyze a near capacity-achieving non-linear precoding technique relying on vector perturbation (VP) along with a fair user scheduling algorithm for joint transmission network MIMO (usually operating in the frequency division duplex (FDD) mode). We consider practical conditions such as imperfect channel state information (CSI) due to the backhaul delay and per-base station (per-BS) power constraints. In addition, we propose an optimal VP technique minimizing the mean square error (MSE) of the received signal subject to per-BS power constraints. Although the array virtualization of network MIMO reduces the inter-cell interference to some extent (depending on the cluster size of coordinated BSs), the increase in transmit antenna array size is limited by the fading block length (coherence time of the radio channel). In the time division duplex (TDD) mode, the story is different thanks to the channel reciprocity. Massive MIMO or large-scale MIMO is a transmission/reception scheme for multi-cell MIMO, which works in the TDD mode and involves BSs, each with a large number of antennas, much larger than the number of users per cell. In this study, we design and analyze a non-linear precoding technique employing time domain VP (TDVP) for a large-scale (massive) MIMO system. To analyze the system we employ random matrix methods to avoid time-consuming Monte-Carlo simulations and get better insight into the problem. In addition, we propose a practical approach to mitigating pilot contamination for massive MIMO through a joint clustering and pilot reuse scheme. We propose pilot contamination precoding (PCP) as outer linear precoding prior to conventional precoding through a cooperative transmission scheme with three BSs involved in the coordination cluster.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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