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Bayesian compressive sensing assisted space time block coded quadrature spatial modulation

Bayesian compressive sensing assisted space time block coded quadrature spatial modulation
Bayesian compressive sensing assisted space time block coded quadrature spatial modulation
A novel Multiple-Input and Multiple-Output (MIMO) transmission scheme termed as Space-Time Block Coded Quadrature Spatial Modulation (STBC-QSM) is proposed. It amalgamates the concept of Quadrature Spatial Modulation (QSM) and Space-Time Block Coding (STBC) to exploit the diversity benefits of STBC relying on sparse Radio Frequency (RF) chains. In the proposed STBC-QSM scheme, the conventional constellation points of the STBC structure are replaced by the QSM symbols, hence the information bits are conveyed both by the antenna indices as well as by conventional STBC blocks. Furthermore, an efficient Bayesian Compressive Sensing (BCS) algorithm is developed for our proposed STBC-QSM system. Both our analytical and simulation results demonstrated that the proposed scheme is capable of providing considerable performance gains over the existing schemes. Moreover, the proposed BCS detector is capable of approaching the Maximum Likelihood (ML) detector’s performance despite only imposing a complexity near similar to that of the Minimum Mean Square Error (MMSE) detector in the high Signal to
Noise Ratio (SNR) regions.
0018-9545
1-5
Xiao, Lixia
a318fd47-27b8-4a8a-98d5-26bc9333c589
Xiao, Pei
48e5c554-b0e2-41a9-bf48-546628bc4bcc
Xiao, Yue
10f13317-e86c-4b9e-bc7a-f7622c37ee01
Hemadeh, Ibrahim
6576ce7e-fe4c-4f4d-b5db-84935f38cd9c
Mohamed, Abdelrahim
dfff1c1b-c0dd-47b0-ba11-af3f1be6c29f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Xiao, Lixia
a318fd47-27b8-4a8a-98d5-26bc9333c589
Xiao, Pei
48e5c554-b0e2-41a9-bf48-546628bc4bcc
Xiao, Yue
10f13317-e86c-4b9e-bc7a-f7622c37ee01
Hemadeh, Ibrahim
6576ce7e-fe4c-4f4d-b5db-84935f38cd9c
Mohamed, Abdelrahim
dfff1c1b-c0dd-47b0-ba11-af3f1be6c29f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Xiao, Lixia, Xiao, Pei, Xiao, Yue, Hemadeh, Ibrahim, Mohamed, Abdelrahim and Hanzo, Lajos (2018) Bayesian compressive sensing assisted space time block coded quadrature spatial modulation. IEEE Transactions on Vehicular Technology, 1-5. (doi:10.1109/TVT.2018.2854912).

Record type: Article

Abstract

A novel Multiple-Input and Multiple-Output (MIMO) transmission scheme termed as Space-Time Block Coded Quadrature Spatial Modulation (STBC-QSM) is proposed. It amalgamates the concept of Quadrature Spatial Modulation (QSM) and Space-Time Block Coding (STBC) to exploit the diversity benefits of STBC relying on sparse Radio Frequency (RF) chains. In the proposed STBC-QSM scheme, the conventional constellation points of the STBC structure are replaced by the QSM symbols, hence the information bits are conveyed both by the antenna indices as well as by conventional STBC blocks. Furthermore, an efficient Bayesian Compressive Sensing (BCS) algorithm is developed for our proposed STBC-QSM system. Both our analytical and simulation results demonstrated that the proposed scheme is capable of providing considerable performance gains over the existing schemes. Moreover, the proposed BCS detector is capable of approaching the Maximum Likelihood (ML) detector’s performance despite only imposing a complexity near similar to that of the Minimum Mean Square Error (MMSE) detector in the high Signal to
Noise Ratio (SNR) regions.

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Accepted/In Press date: 9 July 2018
e-pub ahead of print date: 16 July 2018

Identifiers

Local EPrints ID: 422243
URI: http://eprints.soton.ac.uk/id/eprint/422243
ISSN: 0018-9545
PURE UUID: cf20bec2-b325-45ff-a5f8-3f55ba4810ff
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 19 Jul 2018 16:30
Last modified: 07 Oct 2020 01:33

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