详细信息

A low-complexity expectation propagation symbol detector for DCT-OTFS systems  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:A low-complexity expectation propagation symbol detector for DCT-OTFS systems

作者:Jiang, Ruijie[1];Qiao, Kaixuan[1];Liu, Chao[1];Yuan, Weina[1]

机构:[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

年份:2026

卷号:74

外文期刊名:PHYSICAL COMMUNICATION

收录:;EI(收录号:20260219882913);WOS:【SCI-EXPANDED(收录号:WOS:001660765800002)】;

语种:英文

外文关键词:Orthogonal time frequency space; Discrete cosine transform; Expectation propagation; Symbol detection

摘要:Orthogonal Time-Frequency Space (OTFS) modulation has emerged as a robust solution for high-mobility wireless communication scenarios, owing to its delay-Doppler domain representation and resilience to time-varying channels. Among OTFS variants, the Discrete Cosine Transform-based OTFS (DCT-OTFS) system offers improved energy compaction, reduced interference spread, and enhanced sparsity compared to conventional OTFS, which facilitates more efficient low-complexity detection. In this letter, we propose a novel Expectation Propagation (EP) symbol detection algorithm tailored to the DCT-OTFS framework. To the best of our knowledge, this is the first work to investigate EP detection within DCT-OTFS. By leveraging the structural advantages of the DCTprecoded delay-Doppler domain, the proposed detector achieves more accurate posterior approximations through moment matching while maintaining reduced per-iteration complexity. Simulation results under the Extended Vehicular A (EVA) channel model show that the proposed EP algorithm significantly outperforms traditional OTFS-based detection schemes-including Linear Minimum Mean Square Error (LMMSE), Message Passing (MP), and standard EP-in terms of bit error rate (BER), especially in high-mobility and high-dimensional scenarios. These results confirm that incorporating DCT into the OTFS framework not only enhances EP detection accuracy, but also exploits energy compaction and sparsity to improve robustness and efficiency across diverse system configurations.

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