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Performance analysis and approximate message passing detection of orthogonal time sequency multiplexing modulation

Performance analysis and approximate message passing detection of orthogonal time sequency multiplexing modulation
Performance analysis and approximate message passing detection of orthogonal time sequency multiplexing modulation
In orthogonal time sequency multiplexing (OTSM) modulation, the information symbols are conveyed in the delay sequency domain upon exploiting the inverse Walsh Hadamard transform (IWHT). It has been shown that OTSM is capable of attaining a bit error ratio (BER) similar to that of orthogonal time-frequency space (OTFS) modulation at a lower complexity, since the saving of multiplication operations in the IWHT. Hence we provide its BER performance analysis and characterize its detection complexity. We commence by deriving its generalized input output relationship and its unconditional pairwise error probability (UPEP). Then, its BER upper bound is derived in closed form under both ideal and imperfect channel estimation conditions, which is shown to be tight at moderate to high signal-to-noise ratios (SNRs). Moreover, a novel approximate message passing (AMP) aided OTSM detection framework is proposed. Specifically, to circumvent the high residual BER of the conventional AMP detector, we proposed a vector AMP-based expectation-maximization (VAMP-EM) detector for performing joint data detection and noise variance estimation. The variance auto-tuning algorithm based on the EM algorithm is designed for the VAMP-EM detector to further improve the convergence performance. The simulation results illustrate that the VAMPEM detector is capable of striking an attractive BER vs. complexity trade-off than the state-of-the-art schemes as well as providing a better convergence. Finally, we propose AMP and VAMP-EM turbo receivers for low-density parity-check (LDPC)- coded OTSM systems. It is demonstrated that our proposed VAMP-EM turbo receiver is capable of providing both BER and convergence performance improvements over the conventional AMP solution.
Complexity theory, Detectors, Modulation, Orthogonal time-frequency space (OTFS), Receivers, Symbols, Time-frequency analysis, Transforms, approximate message passing (AMP), expectation-maximization (EM), orthogonal time sequency multiplexing (OTSM), turbo receiver
1536-1276
1913-1923
Su, Zeping
bc91c3ee-47f8-4187-ab71-0e63df5d80f9
Yan, Shefeng
dcb1ba57-af52-4a38-b495-950cac288dff
Zhang, Hongming
bb8e75a5-43f2-4213-af68-89db4fbfeb68
Sun, Sumei
b07b1873-b329-46c5-a131-6bab2837cab8
Zeng, Yonghong
595bada1-7e3a-44c5-b723-27d3d3a65f8a
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Su, Zeping
bc91c3ee-47f8-4187-ab71-0e63df5d80f9
Yan, Shefeng
dcb1ba57-af52-4a38-b495-950cac288dff
Zhang, Hongming
bb8e75a5-43f2-4213-af68-89db4fbfeb68
Sun, Sumei
b07b1873-b329-46c5-a131-6bab2837cab8
Zeng, Yonghong
595bada1-7e3a-44c5-b723-27d3d3a65f8a
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Su, Zeping, Yan, Shefeng, Zhang, Hongming, Sun, Sumei, Zeng, Yonghong, Yang, Lie-Liang and Hanzo, Lajos (2024) Performance analysis and approximate message passing detection of orthogonal time sequency multiplexing modulation. IEEE Transactions on Wireless Communications, 23 (3), 1913-1923. (doi:10.1109/TWC.2023.3293315).

Record type: Article

Abstract

In orthogonal time sequency multiplexing (OTSM) modulation, the information symbols are conveyed in the delay sequency domain upon exploiting the inverse Walsh Hadamard transform (IWHT). It has been shown that OTSM is capable of attaining a bit error ratio (BER) similar to that of orthogonal time-frequency space (OTFS) modulation at a lower complexity, since the saving of multiplication operations in the IWHT. Hence we provide its BER performance analysis and characterize its detection complexity. We commence by deriving its generalized input output relationship and its unconditional pairwise error probability (UPEP). Then, its BER upper bound is derived in closed form under both ideal and imperfect channel estimation conditions, which is shown to be tight at moderate to high signal-to-noise ratios (SNRs). Moreover, a novel approximate message passing (AMP) aided OTSM detection framework is proposed. Specifically, to circumvent the high residual BER of the conventional AMP detector, we proposed a vector AMP-based expectation-maximization (VAMP-EM) detector for performing joint data detection and noise variance estimation. The variance auto-tuning algorithm based on the EM algorithm is designed for the VAMP-EM detector to further improve the convergence performance. The simulation results illustrate that the VAMPEM detector is capable of striking an attractive BER vs. complexity trade-off than the state-of-the-art schemes as well as providing a better convergence. Finally, we propose AMP and VAMP-EM turbo receivers for low-density parity-check (LDPC)- coded OTSM systems. It is demonstrated that our proposed VAMP-EM turbo receiver is capable of providing both BER and convergence performance improvements over the conventional AMP solution.

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OTSM_TWC_Zeping - Accepted Manuscript
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More information

Accepted/In Press date: 2 July 2023
e-pub ahead of print date: 13 July 2023
Published date: March 2024
Additional Information: Publisher Copyright: IEEE
Keywords: Complexity theory, Detectors, Modulation, Orthogonal time-frequency space (OTFS), Receivers, Symbols, Time-frequency analysis, Transforms, approximate message passing (AMP), expectation-maximization (EM), orthogonal time sequency multiplexing (OTSM), turbo receiver

Identifiers

Local EPrints ID: 479492
URI: http://eprints.soton.ac.uk/id/eprint/479492
ISSN: 1536-1276
PURE UUID: 44b80be4-f985-488d-813d-11dbb17c76f0
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: 25 Jul 2023 16:44
Last modified: 18 Oct 2024 01:35

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Contributors

Author: Zeping Su
Author: Shefeng Yan
Author: Hongming Zhang
Author: Sumei Sun
Author: Yonghong Zeng
Author: Lie-Liang Yang ORCID iD
Author: Lajos Hanzo ORCID iD

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