University of Surrey

Test tubes in the lab Research in the ATI Dance Research

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

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

SM_VBLAST_12_8.pdf - Accepted version Manuscript

Download (1MB) | Preview


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 Engineering and Physical Sciences > Electronic Engineering
Authors :
Yu, Wenjua
Haas, Harald
Hanzo, Lajos
Date : 3 January 2020
Funders : Engineering and Physical Sciences Research Council (EPSRC)
DOI : 10.1109/TWC.2019.2960505
Copyright Disclaimer : © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Spatial modulation (SM); Multiple-Input Multiple-Output (MIMO); Vertical Bell Labs Space-Time (VBLAST); Compressive Sensing (CS); Average Bit Error Probability (ABEP); Capacity analysis
Depositing User : Diane Maxfield
Date Deposited : 20 Jan 2020 09:46
Last Modified : 10 Feb 2020 15:27

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800