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Author(s): Lopes, H.
Souto, N.
Date: 2018
Title: Iterative signal detection for large scale GSM-MIMO systems
Volume: 67
Number: 8
Pages: 7734 - 7738
ISSN: 0018-9545
DOI (Digital Object Identifier): 10.1109/TVT.2018.2820201
Keywords: Generalized Spatial Modulations (GSM)
Large Scale MIMO (LS-MIMO)
Compressed Sensing (CS)
Abstract: Generalized spatial modulations (GSM) represent a novel multiple input multiple output (MIMO) scheme which can be regarded as a compromise between spatial multiplexing MIMO and conventional spatial modulations (SM), achieving both spectral efficiency (SE) and energy efficiency (EE). Due to the high computational complexity of the maximum likelihood detector (MLD) in large antenna settings and symbol constellations, in this paper we propose a lower complexity iterative suboptimal detector. The derived algorithm comprises a sequence of simple processing steps, namely an unconstrained Euclidean distance minimization problem, an element wise projection over the signal constellation and a projection over the set of valid active antenna combinations. To deal with scenarios where the number of possible active antenna combinations is large, an alternative version of the algorithm which adopts a simpler cardinality projection is also presented. Simulation results show that, compared with other existing approaches, both versions of the proposed algorithm are effective in challenging underdetermined scenarios where the number of receiver antennas is lower than the number of transmitter antennas.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:IT-RI - Artigos em revistas científicas internacionais com arbitragem científica

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