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Reduced–Complexity Transmission and Reception Strategies in Coordinated Multi-cell Wireless Networks Open Access


Other title
Coordination multipoint (CoMP)
network MIMO
Multiple input multiple output (MIMO)
Type of item
Degree grantor
University of Alberta
Author or creator
Kaviani, Saeed
Supervisor and department
Witold A. Krzymień (Electrical and Computer Engineering)
Examining committee member and department
Macgregor, Mike (Computing Science)
Heath, Robert W., Jr (Electrical and Computer Engineering, University of Texas at Austin)
Tellambura, Chintha (Electrical and Computer Engineering)
Jiang, Hai (Electrical and Computer Engineering)
Department of Electrical and Computer Engineering
Date accepted
Graduation date
Doctor of Philosophy
Degree level
Interference is known as a major obstacle for the spectral efficiency increase promised by multiple-antenna techniques in cellular wireless communications. Recently, it has been shown that multi-cell coordination can mitigate interference and improve system performance dramatically. Hence, we concentrate on the downlink of multi-cell multiple-antenna (at both ends) wireless networks also known as network multiple-input multiple-output (MIMO) or coordinated multi-point (CoMP) transmission/reception systems. In multi-cell coordination, antennas from multiple base stations form a large MIMO system. Consequently, coordination comes with high signal processing overhead. In this dissertation we focus on reduced-complexity transmission and reception strategies in partially coordinated multi-cell systems, where the user data are partially shared between base stations. We first model partial coordination using MIMO interference channel with generalized linear constraints. Then, we investigate linear transmission strategies using this channel model. The contributions of this dissertation fall into the following categories of techniques: (i) Block diagonalization (multiple-antenna multi-user zero-forcing) transmit precoding under individual power constraints. (ii) Minimum mean square error (MMSE) linear precoding and equalization design; (iii) Worst-case robust precoding and equalization, where we consider imperfect channel state information available at the transmitter and receiver. Furthermore, our simulation setup accounts for realistic cellular parameters in evaluating the performance in multi-cell networks.
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.
Citation for previous publication
S. Kaviani and W. A. Krzymień, “Multicell scheduling in network MIMO,” in Proc. IEEE Global Telecommun. Conf. (GLOBECOM), Dec. 2010.S. Kaviani and W. A. Krzymień, “Sum rate maximization of MIMO broadcast channels with coordination of base stations,” in IEEE Wireless Commun. and Networking Conf., Mar.-Apr. 2008, pp. 1079 – 1084.S. Kaviani and W. A. Krzymień, “Optimal multiuser zero-forcing with per-antenna power constraints for network MIMO coordination,” EURASIP J. Wireless Commun. Networking, 2011.S. Kaviani, O. Simeone, W. A. Krzymień, and S. S. (Shitz), “Linear MMSE precoding and equalization for network MIMO with partial cooperation,” in Proc. IEEE Global Telecommun. Conf. (GLOBECOM), Dec. 2011.S. Kaviani, O. Simeone, W. A. Krzymień, and S. Shamai, “Linear precoding and equalization for network MIMO with partial cooperation,” IEEE Trans. Veh. Technol., vol. 61, no. 5, pp. 2083–2096, Jun. 2012.S. Kaviani and W. A. Krzymień, “User selection for multiple-antenna broadcast channel with zero-forcing beamforming,” in Proc. IEEE Global Telecommun. Conf. (GLOBECOM), Nov.-Dec. 2008.S. Kaviani and W. A. Krzymień, “On the optimality of multiuser zeroforcing precoding in MIMO broadcast channels,” in Proc. IEEE Veh. Tech. Conf. (VTC-Spring), Apr. 2009.S. Kaviani and W. A. Krzymień, “Worst-case robust design of linear transceivers in MIMO interference channels,” submitted to IEEE Trans. Veh. Tech., 2012.

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