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Sub-optimal Deep Pipelined Implementation of MIMO Sphere Detector on FPGA

Nguyen, M.T. and Tran, X.N. and Duc, N.V. and Trinh, Q.K. and Nguyen, D.T. and Vu, T.A. (2023) Sub-optimal Deep Pipelined Implementation of MIMO Sphere Detector on FPGA. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 10 (1). ISSN 24100218

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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. © 2023 Minh Thuong Nguyen et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

Item Type: Article
Divisions: Faculties > Faculty of Radio-Electronic Engineering
Identification Number: 10.4108/EETINIS.V10I1.2630
Uncontrolled Keywords: MIMO systems; Pipelines; Space division multiple access; Spheres, K-best; Multiple inputs; Multiple outputs; Multiple-input multiple-output; SDM-multiple-input multiple-output; Sphere detection; Sub-optimal; Wireless communications, Field programmable gate arrays (FPGA)
URI: http://eprints.lqdtu.edu.vn/id/eprint/10811

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