Research Article
Sub-optimal Deep Pipelined Implementation of MIMO Sphere Detector on FPGA
@ARTICLE{10.4108/eetinis.v10i1.2630, author={Minh Thuong Nguyen and Xuan Nam Tran and Vu Duc Ngo and Quang-Kien Trinh and Duc Thang Nguyen and Tien Anh Vu}, title={Sub-optimal Deep Pipelined Implementation of MIMO Sphere Detector on FPGA}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={10}, number={1}, publisher={EAI}, journal_a={INIS}, year={2023}, month={3}, keywords={SDM-MIMO, Sphere Detection, K-best, MIMO, FPGA, Sub-Optimal, Wireless communication}, doi={10.4108/eetinis.v10i1.2630} }- Minh Thuong Nguyen
Xuan Nam Tran
Vu Duc Ngo
Quang-Kien Trinh
Duc Thang Nguyen
Tien Anh Vu
Year: 2023
Sub-optimal Deep Pipelined Implementation of MIMO Sphere Detector on FPGA
INIS
EAI
DOI: 10.4108/eetinis.v10i1.2630
Abstract
Sphere detector (SD) is an effective signal detection approach for the wireless multiple-input multiple-output (MIMO) system since it can achieve near-optimal performance while reducing significant computational complexity. In this work, we proposed a novel SD architecture that is suitable for implementation on the hardware accelerator. We first perform a statistical analysis to examine the distribution of valid paths in the SD search tree. Using the analysis result, we then proposed an enhanced hybrid SD (EHSD) architecture that achieves quasi-ML performance and high throughput with a reasonable cost in hardware. The fine-grained pipeline designs of 4 × 4 and 8 × 8 MIMO system with 16-QAM modulation delivers throughput of 7.04 Gbps and 14.08 Gbps on the Xilinx Virtex Ultrascale+ FPGA, respectively.
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