Paper Info
Title
Reduced Complexity Max-Log-Map Sphere Decoder Using Group Detection In Mimo-Ofdm Systems
Abstract
This paper proposes a Group Detection (GD) algorithm with Max-Log-MAP Sphere Decoder (MLM-SD) in order to reduce the complexity of signal detection in a Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system. The proposed algorithm divides spatial streams into multiple partial spatial streams by using Minimum Mean Square Error (MMSE) detector, followed by multiple MLM-SDs with reduced number of spatial streams. Although the spatial diversity gain in the MLM-SD degrades because of the lack of the degrees of freedom exploited by the MMSE detector, its diversity gain is recovered by combining the metrics obtained by the multiple MLM-SDs. In a MIMO wireless LAN multipath fading environment, the complexity of the proposed algorithm is 10% of that of the original MLM-SD and the performance degradation in terms of SNR is slightly less than that of the original MLM-SD in 4-by-4 MIMO architecture with 64 QAM achieving 216 Mbps. It is also found that the proposed algorithm is robust against the limitation of the number of searches in sphere decoder.
Year
DOI
Venue
2005
10.1093/ietcom/e88-b.11.4220
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
Field
DocType
MIMO, OFDM, ML, MMSE, sphere decoder, IEEE802.11a, IEEE802.11n
MIMO-OFDM,Diversity gain,Antenna diversity,Telecommunications,Computer science,Fading,MIMO,Minimum mean square error,Algorithm,Spatial multiplexing,Orthogonal frequency-division multiplexing,Distributed computing
Journal
Volume
Issue
ISSN
E88B
11
0916-8516
Citations 
PageRank 
References 
1
0.41
0
Authors
4
Name
Order
Citations
PageRank
Tsuguhide Aoki1175.30
Yasuhiko Tanabe2224.03
Hidehiro Matsuoka3152.87
Hiroki Shoki451.69