A compressive sensing assisted massive SM-VBLAST System: Error probability and capacity analysis

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.

Spatial modulation (SM), average bit error probability (ABEP), capacity analysis, compressive sensing (CS), multiple-input multiple-output (MIMO), vertical bell labs space-time (VBLAST)

10.1109/TWC.2019.2960505

1536-1276

1990-2005

Xiao, Lixia

a318fd47-27b8-4a8a-98d5-26bc9333c589

Xiao, Pei

976b4b13-a282-4e48-919d-beec8a94396d

Liu, Zilong

f89b23ed-b758-44c8-8017-7f167c1926a6

Yu, Wenjuan

9734ff4a-1cda-440f-bbf5-419bfb97b8a4

Haas, Harald

cdf0c1b3-2410-4cb4-bdc2-0221b5290267

Hanzo, Lajos

66e7266f-3066-4fc0-8391-e000acce71a1

March 2020

Xiao, Lixia

a318fd47-27b8-4a8a-98d5-26bc9333c589

Xiao, Pei

976b4b13-a282-4e48-919d-beec8a94396d

Liu, Zilong

f89b23ed-b758-44c8-8017-7f167c1926a6

Yu, Wenjuan

9734ff4a-1cda-440f-bbf5-419bfb97b8a4

Haas, Harald

cdf0c1b3-2410-4cb4-bdc2-0221b5290267

Hanzo, Lajos

66e7266f-3066-4fc0-8391-e000acce71a1

Xiao, Lixia, Xiao, Pei, Liu, Zilong, Yu, Wenjuan, Haas, Harald and Hanzo, Lajos (2020) A compressive sensing assisted massive SM-VBLAST System: Error probability and capacity analysis. IEEE Transactions on Wireless Communications, 19 (3), 1990-2005, [8949762]. (doi:10.1109/TWC.2019.2960505).

Record type: Article

Abstract

Text

A compressive sensing assisted massive SM-VBLAST System Error probability and capacity analysis - Accepted Manuscript

Available under License University of Southampton Accepted Manuscript Licence.

Download (2MB)

More information

Accepted/In Press date: 8 December 2019

e-pub ahead of print date: 3 January 2020

Published date: March 2020

Additional Information: Funding Information: Manuscript received April 28, 2019; revised November 1, 2019; accepted December 8, 2019. Date of publication January 3, 2020; date of current version March 10, 2020. This work was supported by the U.K. Engineering and Physical Sciences Research Council under Grant EP/N020391/1. The work of Zilong Liu was supported in part by the EPSRC Project: New Air Interface Techniques for Future Massive Machine Communications under Grant EP/P03456X/1, in part by the H2020 EU-Taiwan Project: Converged Wireless Access for Reliable 5G MTC for Factories of Future-Clear5G under Grant 61745, and in part by the National Natural Science Foundation of China through the Research Fund for International Young Scientists under Grant 61750110527. The work of Lajos Hanzo was supported in part by the Engineering and Physical Sciences Research Council under Project EP/Noo4558/1, Project EP/PO34284/1, and Project COALESCE, in part by the Royal Society’s Global Challenges Research Fund Grant, and in part by the European Research Council’s Advanced Fellowship under Grant QuantCom. The associate editor coordinating the review of this article and approving it for publication was S. Buzzi. (Corresponding author: Lajos Hanzo.) Lixia Xiao is with the 5G Innovation Centre (5GIC), University of Surrey, Guildford GU2 7XH, U.K., and also with the Wuhan National Laboratory for Optoelectronics, School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China. Funding Information: The authors would like to thank the support of the University of Surrey 5GIC (http://www.surrey.ac.uk/5gic) members for this work. Publisher Copyright: © 2002-2012 IEEE.

Keywords: Spatial modulation (SM), average bit error probability (ABEP), capacity analysis, compressive sensing (CS), multiple-input multiple-output (MIMO), vertical bell labs space-time (VBLAST)

Learn more about Electronics & Computer Science research Learn more about Next Generation Wireless research