Spatial modulation aided sparse code-division multiple access
Spatial modulation aided sparse code-division multiple access
In order to support high-user-load multiple-access (MA), we propose a non-orthogonal MA scheme based on a beneficial amalgam of spatial modulation (SM) and sparse code division multiple-access (SCDMA), which is termed as the SMSCDMA. Hence, SM-SCDMA inherits both the merits of SM with single radio-frequency MIMO transceiver implementation and the advantages of SCDMA relying on low-complexity signal detection. In this paper, we evaluate the potential of SM-SCDMA as well as its low-complexity near-optimum signal detection. Given these objectives, we consider both the maximum likelihood detection (MLD) and the message passing algorithm aided detection (MPAD) that is derived based on the maximum a posteriori principles. In order to evaluate the performance of large SM-SCDMA without relying on time-consuming simulations, we propose new approaches for analyzing the performance of SM-SCDMA systems. A range of formulas that are valid in the signal-to-noise ratio (SNR) region of practical interest are derived. Finally, the performance of SM-SCDMA systems is investigated by addressing diverse design concerns. Our studies and performance results show that SM-SCDMA constitutes a promising MA scheme for the future ultra dense systems. Assisted
by the MPAD, it is capable of supporting high-user-load MA transmission associated with a normalized user-load factor of two.
NOMA, Spatial Modulation, low density signature, maximum likelihood detection, message passing
1474-1487
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
March 2018
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
(2018)
Spatial modulation aided sparse code-division multiple access.
IEEE Transactions on Wireless Communications, 17 (3), .
(doi:10.1109/TWC.2017.2778722).
Abstract
In order to support high-user-load multiple-access (MA), we propose a non-orthogonal MA scheme based on a beneficial amalgam of spatial modulation (SM) and sparse code division multiple-access (SCDMA), which is termed as the SMSCDMA. Hence, SM-SCDMA inherits both the merits of SM with single radio-frequency MIMO transceiver implementation and the advantages of SCDMA relying on low-complexity signal detection. In this paper, we evaluate the potential of SM-SCDMA as well as its low-complexity near-optimum signal detection. Given these objectives, we consider both the maximum likelihood detection (MLD) and the message passing algorithm aided detection (MPAD) that is derived based on the maximum a posteriori principles. In order to evaluate the performance of large SM-SCDMA without relying on time-consuming simulations, we propose new approaches for analyzing the performance of SM-SCDMA systems. A range of formulas that are valid in the signal-to-noise ratio (SNR) region of practical interest are derived. Finally, the performance of SM-SCDMA systems is investigated by addressing diverse design concerns. Our studies and performance results show that SM-SCDMA constitutes a promising MA scheme for the future ultra dense systems. Assisted
by the MPAD, it is capable of supporting high-user-load MA transmission associated with a normalized user-load factor of two.
Text
Paper-TW-Jun-17-0810
- Accepted Manuscript
More information
Accepted/In Press date: 26 November 2017
e-pub ahead of print date: 6 December 2017
Published date: March 2018
Additional Information:
12/1/18 full AM date added. Am appears to be correct, i think this record should now be compliant.
Keywords:
NOMA, Spatial Modulation, low density signature, maximum likelihood detection, message passing
Identifiers
Local EPrints ID: 416463
URI: http://eprints.soton.ac.uk/id/eprint/416463
ISSN: 1536-1276
PURE UUID: 736108bd-02b5-42f0-bfb2-38d5ef71c248
Catalogue record
Date deposited: 19 Dec 2017 17:30
Last modified: 18 Mar 2024 02:49
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Contributors
Author:
Yusha Liu
Author:
Lieliang Yang
Author:
Lajos Hanzo
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