A 3.85-Gb/s 8 x 8 Soft-Output MIMO Detector With Lattice-Reduction-Aided Channel Preprocessing

This article presents an 8 x 8 lattice-reductionaided (LRA) soft-output multiple-input multiple-output (MIMO) detector for Chinese enhanced ultrahigh throughput (EUHT) wireless local area network (LAN) standard. The preprocessing algorithm combining simplified-sorting Cholesky decomposition and low-complexity decoupled lattice reduction (LDLR) is proposed to reduce computational complexity and latency with parallelism improvement. In addition, K-best detection adopts a sorting-reduced strategy utilizing approximate ordered sequence. Compared with other published LRA K-best detection algorithms, simulation results show that our proposed algorithm has performance improvement. In addition, in order to save hardware resources, a folded K-best architecture and an optimized intermediate storage strategy are introduced. Furthermore, a fully pipelined VLSI architecture is designed in Semiconductor Manufacturing International Corporation (SMIC) 40-nm 1P9M technology to support the 8 x 8.64-QAM MIMO-OFDM system. The detector can achieve 3.85-Gb/s data throughput at 641-MHz clock frequency with 0.71-mu s latency. The proposed detector is competitive in terms of latency, throughput, and area efficiency to state-of-the-art works and can meet the data-rate requirement of the EUHT standard.

Automated summary

This paper proposes an 8 x 8 lattice-reduction-aided MIMO detector for the Chinese EUHT wireless LAN standard, which utilizes preprocessing algorithm and K-best detection strategy for improved performance. By optimizing hardware architecture and storage strategy, the detector performs well in terms of throughput, latency, and area efficiency.