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Permanent link (DOI): https://doi.org/10.7939/R3B64J

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New Signal Processing Techniques for MIMO Physical Layer Open Access

Descriptions

Other title
Subject/Keyword
channel inversion
multiple input multiple output
rake receiver
generalized singular value decomposition
MIMO
physical layer multicasting
space division duplexing
beamforming
wireless communications
signal processing
multipath resolution
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Senaratne, Damith N.
Supervisor and department
Tellambura, Chintha (Electrical and Computer Engineering)
Examining committee member and department
Han, Bin (Mathematical and Statistical Sciences)
Ardakani, Masoud (Electrical and Computer Engineering)
Karumudi, Rambabu (Electrical and Computer Engineering)
Krzymien, Witold (Electrical and Computer Engineering)
Cockburn, Bruce (Chair) (Electrical and Computer Engineering)
Gulliver, Aaron (Electrical and Computer Engineering, University of Victoria)
Department
Department of Electrical and Computer Engineering
Specialization
Communications
Date accepted
2012-09-25T14:33:56Z
Graduation date
2012-09
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
Multiple-inputmultiple-output (MIMO) systems, characterized by multiple antenna transceivers, add a ‘space’ dimension to signal processing for wireless communication. Conventionally, the degrees of freedom (DoFs), i.e., the number of independent data streams that can be transmitted or received, available in the space dimension are utilized to improve the quality-of-service and the data rates. In other words, the spatial DoFs are exploited to gain diversity and multiplexing benefits. However, these DoFs may be used for other purposes (including multicasting, duplexing, and multipath resolution), which are conceivable given the emerging trend of accommodating more and more antennas in wireless terminals. Developing new physical layer signal processing techniques to realize such non-conventional benefits and ascertaining their viability through performance analysis are the main goals of this thesis. GSVD beamforming, which generalizes eigenmode transmission and zero forcing beamforming techniques for two-user MIMO downlink channels, and spatial multipath resolution, a unique application of spatial signal processing to mitigate multipath fading, are proposed here for the first time. Moreover, beamforming techniques for physical-layer multicasting and space division duplexing are developed in detail; the exact performance of channel inversion power allocation over eigenmode transmission is characterized. This thesis develops each of those contributions in detail.
Language
English
DOI
doi:10.7939/R3B64J
Rights
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
D. Senaratne and C. Tellambura, “Spatial multipath resolution with space time block codes,” IEEE Wireless Communication Letters, vol. 1, no. 3, pp. 249–252, June 2012.D. Senaratne, C. Tellambura, and H. Suraweera, “Performance analysis of MIMO channel inversion in Rayleigh fading,” IEEE Transactions on Vehicular Technology, vol. 61, no. 3, pp. 1188–1196, Mar. 2012.D. Senaratne and C. Tellambura, “Spatial multipath resolution for MIMO systems,” IEEE Wireless Communication Letters, vol. 1, no. 1, pp. 10–13, Feb. 2012.D. Senaratne and C. Tellambura, “Beamforming for space division duplexing,” in Proc. IEEE International Conference on Communications (ICC), Kyoto, Japan, June 2011.D. Senaratne and C. Tellambura, “Beamforming for physical layer multicasting,” in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Cancun, Mexico, Mar. 2011.D. Senaratne and C. Tellambura, “Generalized singular value decomposition for coordinated beamforming in MIMO systems,” in Proc. IEEE Global Communication Conference (GLOBECOM), Miami, FL, Dec. 2010.D. Senaratne, H. Suraweera, and C. Tellambura, “Channel inversion in MIMO systems over Rician fading,” in Proc. IEEE Global Communication Conference (GLOBECOM), Miami, FL, Dec. 2010.D. Senaratne and C. Tellambura, “Performance analysis of channel inversion over MIMO channels,” in Proc. IEEE Global Communication Conference (GLOBECOM), Honolulu HI, Dec. 2009.

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File title: New Signal Processing Techniques for MIMO Physical Layer
File author: Damith Nivantha Senaratne
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