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Approximate message passing algorithms for low oomplexity OFDM-IM detection

Approximate message passing algorithms for low oomplexity OFDM-IM detection
Approximate message passing algorithms for low oomplexity OFDM-IM detection
Low complexity approximate message passing (AMP) orthogonal frequency division multiplexing combined with index modulation (OFDM-IM) detection algorithms are proposed, which exploit the sparse structure of the frequency domain (FD) OFDM-IM symbols. To circumvent the high root mean square error (RMSE) in the conventional AMP algorithm, a minimum mean square error (MMSE) denoiser is proposed based on the classic Bayesian approach and on the state evolution of AMP. Our simulation results demonstrate that it is capable of improving both the RMSE as well as the convergence rate. However, in practice, the channel’s diagonal FD matrix may be a non-Gaussian sensing matrix, hence a damping strategy is conceived. In conclusion, the proposed MMSE denoiser based damping-assisted AMP-aided detector strikes a compelling bit error ratio vs. complexity trade-off.
0018-9545
Sui, Zeping
4e841acf-6ad1-48a6-b61e-4e6d65df0a7a
Yan, Shefeng
9d4ebf69-539c-450f-913f-6bb9d96bdf60
Zhang, Hongming
ebd930db-9cd8-43ff-8b73-92c1d7f0108b
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Sui, Zeping
4e841acf-6ad1-48a6-b61e-4e6d65df0a7a
Yan, Shefeng
9d4ebf69-539c-450f-913f-6bb9d96bdf60
Zhang, Hongming
ebd930db-9cd8-43ff-8b73-92c1d7f0108b
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Sui, Zeping, Yan, Shefeng, Zhang, Hongming, Yang, Lie-Liang and Hanzo, Lajos (2021) Approximate message passing algorithms for low oomplexity OFDM-IM detection. IEEE Transactions on Vehicular Technology. (In Press)

Record type: Article

Abstract

Low complexity approximate message passing (AMP) orthogonal frequency division multiplexing combined with index modulation (OFDM-IM) detection algorithms are proposed, which exploit the sparse structure of the frequency domain (FD) OFDM-IM symbols. To circumvent the high root mean square error (RMSE) in the conventional AMP algorithm, a minimum mean square error (MMSE) denoiser is proposed based on the classic Bayesian approach and on the state evolution of AMP. Our simulation results demonstrate that it is capable of improving both the RMSE as well as the convergence rate. However, in practice, the channel’s diagonal FD matrix may be a non-Gaussian sensing matrix, hence a damping strategy is conceived. In conclusion, the proposed MMSE denoiser based damping-assisted AMP-aided detector strikes a compelling bit error ratio vs. complexity trade-off.

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Zeping_TVT_2col - Accepted Manuscript
Restricted to Repository staff only until 30 July 2023.
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More information

Accepted/In Press date: 30 July 2021

Identifiers

Local EPrints ID: 450728
URI: http://eprints.soton.ac.uk/id/eprint/450728
ISSN: 0018-9545
PURE UUID: d526ce7c-a32d-4681-903c-2729f1c1891d
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: 09 Aug 2021 16:31
Last modified: 13 Dec 2021 02:44

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Contributors

Author: Zeping Sui
Author: Shefeng Yan
Author: Hongming Zhang
Author: Lie-Liang Yang ORCID iD
Author: Lajos Hanzo ORCID iD

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