The University of Southampton
University of Southampton Institutional Repository

Low complexity detection for spatial modulation aided sparse code division multiple access

Low complexity detection for spatial modulation aided sparse code division multiple access
Low complexity detection for spatial modulation aided sparse code division multiple access
Low-complexity detectors are conceived for the spatial modulation-aided sparse code-division multiple-access (SM-SCDMA). Firstly, the approximate message passing (AMP) algorithm is adapted for the detection of SM-SCDMA, which has less than 1% detection complexity of the state-of-the-art message passing-aided (MPA) detection albeit at a bit error ratio (BER) degradation. Therefore, inspired by the benefits of interference cancellation (IC) and the unique characteristics of SM, an enhanced AMP (EAMP) detector is proposed for mitigating BER degradation without increasing the detection complexity. Finally, the classic expectation propagation (EP) is intrinsically amalgamated with our EAMP detector, leading to a novel EAMP-EP detector, which further reduces the detection complexity of the EAMP algorithm. The three detectors are compared both in terms of their coded and uncoded BER, as well as complexity.
Spatial modulation (SM), approximate message passing (AMP) detection, nonorthogonal multiple access (NOMA), sparse code-division multiple-access (SCDMA)
0018-9545
12858-12871
Xiang, Luping
56d951c0-455e-4a67-b167-f6c8233343b1
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Xiang, Luping
56d951c0-455e-4a67-b167-f6c8233343b1
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Xiang, Luping, Liu, Yusha, Yang, Lie-Liang and Hanzo, Lajos (2021) Low complexity detection for spatial modulation aided sparse code division multiple access. IEEE Transactions on Vehicular Technology, 70 (12), 12858-12871. (doi:10.1109/TVT.2021.3121128).

Record type: Article

Abstract

Low-complexity detectors are conceived for the spatial modulation-aided sparse code-division multiple-access (SM-SCDMA). Firstly, the approximate message passing (AMP) algorithm is adapted for the detection of SM-SCDMA, which has less than 1% detection complexity of the state-of-the-art message passing-aided (MPA) detection albeit at a bit error ratio (BER) degradation. Therefore, inspired by the benefits of interference cancellation (IC) and the unique characteristics of SM, an enhanced AMP (EAMP) detector is proposed for mitigating BER degradation without increasing the detection complexity. Finally, the classic expectation propagation (EP) is intrinsically amalgamated with our EAMP detector, leading to a novel EAMP-EP detector, which further reduces the detection complexity of the EAMP algorithm. The three detectors are compared both in terms of their coded and uncoded BER, as well as complexity.

Text
AMP-SM-SCMA-2COL - Accepted Manuscript
Download (675kB)

More information

Accepted/In Press date: 15 October 2021
Published date: 1 December 2021
Keywords: Spatial modulation (SM), approximate message passing (AMP) detection, nonorthogonal multiple access (NOMA), sparse code-division multiple-access (SCDMA)

Identifiers

Local EPrints ID: 452007
URI: http://eprints.soton.ac.uk/id/eprint/452007
ISSN: 0018-9545
PURE UUID: 3c006770-a92a-4fdf-b05d-f6e0359fa629
ORCID for Luping Xiang: ORCID iD orcid.org/0000-0003-1465-6708
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 08 Nov 2021 17:32
Last modified: 12 Nov 2024 02:37

Export record

Altmetrics

Contributors

Author: Luping Xiang ORCID iD
Author: Yusha Liu
Author: Lie-Liang Yang ORCID iD
Author: Lajos Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×