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Journal Article Joint Diversity for the Block Diagonalization-Precoded Spatial Multiplexing System with Multiple Users
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Authors
Lee Dong Hun, Kang Hyunduk, Jeong Byung Jang
Issue Date
201204
Source
IEICE Transactions on Communications, v.E95.B no.4, pp.1300-1306
ISSN
0916-8516
Publisher
일본, 전자정보통신학회 (IEICE)
DOI
https://dx.doi.org/10.1587/transcom.E95.B.1300
Project Code
11PR3300, A Study on the radio requirements of coexistence for dynamic spectrum access, Jeong Byung Jang
Abstract
In this paper, we propose a joint diversity algorithm for error-rate minimization in multi-user spatial multiplexing (SM) systems with block diagonalization (BD)-precoding. The proposed algorithm adapts or selects the user set, transmit antenna subset, and the number of streams by an exhaustive search over the available resources. The proposed algorithm makes use of the multi-user diversity (MUD) and the spatial diversity gains as well as the array gain through selecting the best set. Exhaustive search, however, imposes a heavy burden in terms of computational complexity which exponentially increases with the size of the total number of users, streams, and transmit antennas. For complexity reduction, we propose two suboptimal algorithms which reduce the search space by first selecting the best user or by both selecting the best user and fixing the number of streams. Simulation results show that the proposed algorithms improve error probability over the conventional algorithm due to their diversity improvement and the signal-to-noise ratio (SNR) gains over the conventional algorithm. We also show that the suboptimal algorithms significantly reduce the computational complexity over exhaustive search with low-SNR loss. © 2012 The Institute of Electronics, Information and Communication Engineers.
KSP Keywords
Antenna Subset, Computational complexity, Information and communication, Low SNR, Multiuser diversity, Number of users, Search Space, Signal noise ratio(SNR), Signal-to-Noise, Spatial diversity(SD), array gain