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A Compressive Sensing Assisted Massive SM-VBLAST System: Error Probability and Capacity Analysis

Xiao, Lixia and Xiao, Pei and Liu, Zilong and Yu, Wenjuan and Haas, Harald and Hanzo, Lajos (2020) 'A Compressive Sensing Assisted Massive SM-VBLAST System: Error Probability and Capacity Analysis.' IEEE Transactions on Wireless Communications. ISSN 1536-1276

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Abstract

The concept of massive spatial modulation (SM) assisted vertical bell labs space-time (V-BLAST) (SM-VBLAST) system [1] is proposed, where SM symbols (instead of conventional constellation symbols) are mapped onto the VBLAST structure. We show that the proposed SM-VBLAST is a promising massive multiple input multiple output (MIMO) candidate owing to its high throughput and low number of radio frequency (RF) chains used at the transmitter. For the generalized massive SM-VBLAST systems, we first derive both the upper bounds of the average bit error probability (ABEP) and the lower bounds of the ergodic capacity. Then, we develop an efficient error correction mechanism (ECM) assisted compressive sensing (CS) detector whose performance tends to achieve that of the maximum likelihood (ML) detector. Our simulations indicate that the proposed ECM-CS detector is suitable both for massive SM-MIMO based point-to-point and for uplink communications at the cost of a slightly higher complexity than that of the compressive sampling matching pursuit (CoSaMP) based detector in the high SNR region.

Item Type: Article
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 28 Jan 2020 16:23
Last Modified: 28 Jan 2020 17:15
URI: http://repository.essex.ac.uk/id/eprint/26529

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