Joint user-activity and data detection for grant-free spatial-modulated multi-carrier non-orthogonal multiple access
Joint user-activity and data detection for grant-free spatial-modulated multi-carrier non-orthogonal multiple access
Grant-free spatial modulated multi-carrier nonorthogonal multiple access (SM/MC-NOMA) is proposed for supporting the large-scale access of devices transmitting in a sporadic pattern at a low rate. Furthermore, a pair of compressive sensing (CS)-based low-complexity detectors are conceived for jointly detecting the active users and their transmitted data. These detectors are referred to as the Joint Multiuser Matching Pursuit (JMuMP) detector, and the Adaptive MuMP (AMuMP) detector, respectively. However, most of the state-of-the-art CS-based detectors designed for grant-free NOMA systems critically rely on the sparsity of the user activity. By contrast, the proposed AMuMP detector does not require any prior knowledge about the user activity in our SM/MC-NOMA system. The bit error rate (BER) performance of both detectors converges to that of the idealized ‘genie’ receiver, which has perfect knowledge of the user activity. Finally, the complexity of both detectors is quantified.
Compressive sensing, grant-free, multi-carrier, non-orthogonal multiple access, spatial modulation
11673-11684
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
October 2020
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Liu, Yusha, Yang, Lieliang and Hanzo, Lajos
(2020)
Joint user-activity and data detection for grant-free spatial-modulated multi-carrier non-orthogonal multiple access.
IEEE Transactions on Vehicular Technology, 69 (10), , [9167481].
(doi:10.1109/TVT.2020.3016898).
Abstract
Grant-free spatial modulated multi-carrier nonorthogonal multiple access (SM/MC-NOMA) is proposed for supporting the large-scale access of devices transmitting in a sporadic pattern at a low rate. Furthermore, a pair of compressive sensing (CS)-based low-complexity detectors are conceived for jointly detecting the active users and their transmitted data. These detectors are referred to as the Joint Multiuser Matching Pursuit (JMuMP) detector, and the Adaptive MuMP (AMuMP) detector, respectively. However, most of the state-of-the-art CS-based detectors designed for grant-free NOMA systems critically rely on the sparsity of the user activity. By contrast, the proposed AMuMP detector does not require any prior knowledge about the user activity in our SM/MC-NOMA system. The bit error rate (BER) performance of both detectors converges to that of the idealized ‘genie’ receiver, which has perfect knowledge of the user activity. Finally, the complexity of both detectors is quantified.
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Accepted/In Press date: 12 August 2020
e-pub ahead of print date: 14 August 2020
Published date: October 2020
Additional Information:
Funding Information:
Manuscript received June 26, 2020; revised August 9, 2020; accepted August 11, 2020. Date of publication August 14, 2020; date of current version October 22, 2020. This work was supported by the Engineering and Physical Sciences Research Council Project EP/P034284/1. The work of Lajos Hanzo was supported in part by the Engineering and Physical Sciences Research Council Projects EP/Noo4558/1, EP/PO34284/1, COALESCE, of the Royal Society’s Global Challenges Research Fund Grant and in part by the European Research Council’s Advanced Fellow Grant QuantCom. The review of this article was coordinated by Dr. S. Majhi. (Corresponding author: Lajos Hanzo.) The authors are with the School of Electronics and Computer Science, University of Southampton, SO17 1BJ, U.K. (e-mail: yl6g15@ecs.soton.ac.uk; lly@ecs.soton.ac.uk; lh@ecs.soton.ac.uk). Digital Object Identifier 10.1109/TVT.2020.3016898
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© 1967-2012 IEEE.
Keywords:
Compressive sensing, grant-free, multi-carrier, non-orthogonal multiple access, spatial modulation
Identifiers
Local EPrints ID: 443399
URI: http://eprints.soton.ac.uk/id/eprint/443399
ISSN: 0018-9545
PURE UUID: a245c810-7f5f-4814-80a5-395462cde15b
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Date deposited: 24 Aug 2020 16:33
Last modified: 14 Oct 2022 01:36
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Author:
Yusha Liu
Author:
Lieliang Yang
Author:
Lajos Hanzo
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