Randomized Iterative Methods for Low-Complexity Large-Scale MIMO Detection

Author:

Wang Zheng1ORCID,Gower Robert M.2ORCID,Xia Yili1ORCID,He Lanxin3,Huang Yongming1ORCID

Affiliation:

1. School of Information Science and Engineering, Southeast University, Nanjing, China

2. Center for Computational Mathematics, Flatiron Institute and Simons Foundation, New York, NY, USA

3. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

State Key Laboratory of Integrated Services Networks Xidian University

Zhi Shan Young Scholar Program of Southeast University

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Spectral decomposition-based optimization for MMSE receiver design in an uplink MU-MIMO cooperative communication system with imperfect CSI;Physical Communication;2024-04

2. Randomized Iterative Sampling Decoding Algorithm For Large-Scale MIMO Detection;IEEE Transactions on Signal Processing;2024

3. Alternative Normalized-Preconditioning for Scalable Iterative Large-MIMO Detection;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

4. Leveraging User-Wise SVD for Accelerated Convergence in Iterative ELAA-MIMO Detections;2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);2023-09-25

5. A New Randomized Iterative Detection Algorithm for Uplink Large-Scale MIMO Systems;IEEE Transactions on Communications;2023-09

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