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Low-complexity Detectors for Cyclic Structured Space-time Block Coded Spatial Modulation over a Slow Rayleigh Fading Channel

Dickson O. Egbune 1, Babatunde S. Adejumobi 1,2, Isaac O. A. Omeiza 1,3, Frank A. Ibikunle 1, Adeniyi Olayanju 1, Ayodele S. Oluwole 4, and Thokozani Shongwe 2
1. Department of Electrical and Information Engineering, Landmark University, Omu-Aran, Nigeria
2. Centre for Telecommunication, Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2092, South Africa
3. Department of Electrical and Electronic Engineering, University of Ilorin, Kwara State, Nigeria
4. Department of Electrical and Electronic Engineering, Federal University, Oye-Ekiti, Nigeria

Abstract—This paper presents low-complexity detectors for space-time block coded spatial modulation with cyclic structured (STBC-CSM) codeword over a quasi-static frequency-flat Rayleigh fading channel. Two low-complexity detectors are proposed, which reduce the computational complexity of the STBC-CSM maximum-likelihood (ML) detector and demonstrate near-ML error performance of STBC-CSM. Furthermore, Monte-Carlo simulation results for the proposed schemes are presented to validate the theoretical Average Bit Error Probability (ABEP) of STBC-CSM. The proposed low-complexity detectors can achieve a 99% reduction in computational complexity, when high order M-ary (M > 64) amplitude and/or phase modulation symbols are employed for STBC-CSM.

Index Terms—Low-complexity detector, maximum-likelihood, Rayleigh fading channel, space-time block codes, space-time block coded spatial modulation

Cite: Dickson O. Egbune, Babatunde S. Adejumobi, Isaac O. A. Omeiza, Frank A. Ibikunle, Adeniyi Olayanju, Ayodele S. Oluwole, and Thokozani Shongwe, "Low-complexity Detectors for Cyclic Structured Space-time Block Coded Spatial Modulation over a Slow Rayleigh Fading Channel," Journal of Communications vol. 15, no. 11, pp. 818-825, November 2020. Doi: 10.12720/jcm.15.11.818-825

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.

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