Low-complexity improved-rate generalised spatial modulation: Bit-to-symbol mapping detection and performance analysis
Low-complexity improved-rate generalised spatial modulation: Bit-to-symbol mapping detection and performance analysis
Low-complexity improved-rate generalised spatial modulation (LCIR-GSM) is proposed to mitigate the high complexity of the mapping book design and demodulation of variable GSM. Specifically, first of all, we propose two efficient schemes for mapping the information bits to the transmit antenna activation patterns, which can be readily scaled to massive MIMO setups. Secondly, we derive a pair of low-complexity near-optimal detectors, one of which has a reduced search scope, while the other benefits from a decoupled single-stream based signal detection algorithm. Finally, the performance of the proposed LCIR-GSM system is characterised by the improved error probability upper bound. Our simulation results confirm the improved error performance of our proposed scheme, despite its reduced signal detection complexity.
An, Jiancheng
38f5bae7-e6d1-4767-8e81-b402ac61943f
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Gan, Lu
0a6bc3c0-b9b0-4125-ad4d-e065fdd98213
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
An, Jiancheng
38f5bae7-e6d1-4767-8e81-b402ac61943f
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Gan, Lu
0a6bc3c0-b9b0-4125-ad4d-e065fdd98213
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
An, Jiancheng, Xu, Chao, Liu, Yusha, Gan, Lu and Hanzo, Lajos
(2021)
Low-complexity improved-rate generalised spatial modulation: Bit-to-symbol mapping detection and performance analysis.
IEEE Transactions on Vehicular Technology.
(In Press)
Abstract
Low-complexity improved-rate generalised spatial modulation (LCIR-GSM) is proposed to mitigate the high complexity of the mapping book design and demodulation of variable GSM. Specifically, first of all, we propose two efficient schemes for mapping the information bits to the transmit antenna activation patterns, which can be readily scaled to massive MIMO setups. Secondly, we derive a pair of low-complexity near-optimal detectors, one of which has a reduced search scope, while the other benefits from a decoupled single-stream based signal detection algorithm. Finally, the performance of the proposed LCIR-GSM system is characterised by the improved error probability upper bound. Our simulation results confirm the improved error performance of our proposed scheme, despite its reduced signal detection complexity.
Text
Low-Complexity Improved-Throughput Generalised Spatial Modulation Bit-to-Symbol Mapping, Detection and Performance Analysis
- Accepted Manuscript
Text
Low-Complexity_Improved-Throughput_Generalised_Spatial_Modulation_Bit-to-Symbol_Mapping_Detection_and_Performance_Analysis
- Version of Record
Restricted to Repository staff only
Request a copy
More information
Accepted/In Press date: 19 November 2021
Identifiers
Local EPrints ID: 474487
URI: http://eprints.soton.ac.uk/id/eprint/474487
ISSN: 0018-9545
PURE UUID: 57ea5209-fc0d-48d5-846d-4077a6031c7a
Catalogue record
Date deposited: 22 Feb 2023 22:48
Last modified: 17 Mar 2024 03:23
Export record
Contributors
Author:
Jiancheng An
Author:
Chao Xu
Author:
Yusha Liu
Author:
Lu Gan
Author:
Lajos Hanzo
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