TY - GEN
T1 - Reduced-complexity MIMO detection using adaptive set partitioning
AU - Lai, Kuei Chiang
PY - 2008/9/18
Y1 - 2008/9/18
N2 - In this paper, a reduced-complexity multiple-input multiple-output (MIMO) detector for the Bell Labs Layered Space-Time Architecture (BLAST) is described. It incorporates the idea of set partitioning in the tree search to reduce the number of multiplications and comparisons. An algorithm that adapts the number of partitions based on the channel conditions is also proposed to achieve a better tradeoff between complexity and performance. Simulation results are presented to demonstrate the efficacy of the proposed algorithm under the assumptions of perfect channel and noise power estimates.
AB - In this paper, a reduced-complexity multiple-input multiple-output (MIMO) detector for the Bell Labs Layered Space-Time Architecture (BLAST) is described. It incorporates the idea of set partitioning in the tree search to reduce the number of multiplications and comparisons. An algorithm that adapts the number of partitions based on the channel conditions is also proposed to achieve a better tradeoff between complexity and performance. Simulation results are presented to demonstrate the efficacy of the proposed algorithm under the assumptions of perfect channel and noise power estimates.
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M3 - Conference contribution
AN - SCOPUS:51649130398
SN - 9781424419968
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 159
EP - 164
BT - WCNC 2008 - IEEE Wireless Communications and Networking Conference, Conference Proceedings
T2 - IEEE Wireless Communications and Networking Conference, WCNC 2008
Y2 - 31 March 2008 through 3 April 2008
ER -