Soft information acceleration aided subspace suppression MIMO detection

Autor: XiaoXiong Xiong, Chao Dong, Yaohui Bian, Kai Niu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: EURASIP Journal on Wireless Communications and Networking, Vol 2024, Iss 1, Pp 1-19 (2024)
Druh dokumentu: article
ISSN: 1687-1499
DOI: 10.1186/s13638-024-02381-5
Popis: Abstract In this paper, a multiple-input multiple-output detection structure called soft information acceleration (SIA) is proposed, which is suitable for simplifying the two-stage subspace marginalization with interference suppression (SUMIS) into one stage. The proposed one-stage method outperforms the conventional two-stage SUMIS when the subspace size is large enough. The performance advantage of the proposed SUMIS-SIA mainly results from the average number of soft information updates being equal to the ’subspace size,’ instead of only once during the two-stage SUMIS detection. Thus, the SUMIS-SIA achieves a better trade-off between performance and complexity. To further reduce the complexity, a channel-shortening method based on subspace suppression is proposed. Simulation results show that the proposed channel-shortening one-stage method also outperforms SUMIS, which benefits from SIA.
Databáze: Directory of Open Access Journals
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