On Efficient V-BLAST Detection: Recursive and Hybrid Schemes

Hufei Zhu; Yanze Zhu; Qingqing Wu; Yikui Zhai; Wen Chen; Yang Liu

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arXiv · 2302.08660

On Efficient V-BLAST Detection: Recursive and Hybrid Schemes

Hufei Zhu·Yanze Zhu·Qingqing Wu·Yikui Zhai·Wen Chen·Yang Liu

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Abstract

This paper investigates low-complexity and memoryefficient detection for vertical Bell Laboratories layered spacetime architecture (V-BLAST), where recursive and square-root implementations exhibit different tradeoffs in computational complexity. Two new improvements are first developed for the recursive implementation. The first adopts a more efficient partitioned-matrix inverse relation, reducing the dominant complexity of the inverse-construction step by a factor of 1.67. The second reformulates symbol estimation and interference cancellation using quantities available from the detection-error covariance matrix, thereby avoiding the need to retain the inverse covariance matrix during recursion. The resulting recursive algorithm reduces the dominant complexity of the existing speedoriented implementation by a factor of 1.3, while achieving a speedup of approximately 1.86 and reducing the principal matrix-storage requirement by about one half relative to the existing memory-saving implementation. Since the proposed recursive algorithm offers lower worst-case complexity, whereas the inverse-Cholesky square-root implementation provides lower best-case and average complexities, a hybrid scheme is further developed to switch adaptively between them. The hybrid scheme preserves the worst-case dominant-complexity bound of the recursive implementation, attains the best-case complexity of the square-root implementation, and slightly reduces the average processing cost. Analytical operation counts and numerical results verify these gains and demonstrate robustness to moderate variations in a switching threshold.

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Hufei Zhu, Yanze Zhu, Qingqing Wu, Yikui Zhai, Wen Chen, Yang Liu. 2023-02-17. On Efficient V-BLAST Detection: Recursive and Hybrid Schemes. https://arxiv.org/abs/2302.08660

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