Low-complexity signal detection for generalized spatial modulation

Xiao, Yue, Yang, Zongfei, Dan, Lilin, Yang, Ping, Yin, Lu, and Xiang, Wei (2014) Low-complexity signal detection for generalized spatial modulation. IEEE Communications Letters, 18 (3). pp. 403-406.

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Generalized spatial modulation (GSM), in which only part of the transmit antennas are activated in each time slot, was recently proposed as a trade-off between spatial modulation (SM) and vertical Bell laboratories space-time (V-BLAST). Although the maximum likelihood (ML) detector is able to achieve the optimal performance, its exhaustive search leads to intractable computational complexity. In this letter, an efficient signal detection algorithm, termed ordered block minimum mean-squared error (OB-MMSE), is proposed for achieving near-ML performance with low complexity. On one hand, an ordering algorithm is proposed to sort the possible transmit antenna combinations (TACs). On the other hand, the possible signal vector for each ordered TAC is detected by block-MMSE equalization. Simulation results show that the proposed OB-MMSE detector provides similar performance to ML with near 80% reduction in complexity.

Item ID: 43301
Item Type: Article (Research - C1)
ISSN: 1558-2558
Keywords: Generalized spatial modulation (GSM), multiple input multiple output (MIMO), maximum likelihood (ML), ordered block minimum mean squared error (OB-MMSE)
Funders: National Science Foundation of China (NSFC), Fundamental Research Funds for the Central Universities (FRFCU), National Key Laboratory of Science and Technology on Communications (NKLSTC), Southeast University, National Mobile Communications Research Laboratory (SU)
Projects and Grants: NSFC grant no. 61101101, FRFCU ZYGX2011J120, FRFCU ZYGX2012Z004, NKLSTC grant no. 9140C020404120C0201, SU grant no. 2012D03, SU grant no. 2013D05
Date Deposited: 24 Feb 2016 07:47
FoR Codes: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified @ 100%
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