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Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (1): 19-27.doi: 10.21629/JSEE.2020.01.03

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  • 收稿日期:2019-06-08 出版日期:2020-02-20 发布日期:2020-02-25

Compressive sensing based multiuser detector for massive MBM MIMO uplink

Wei SONG1(), Wenzheng WANG2,*()   

  1. 1 School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
    2 School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
  • Received:2019-06-08 Online:2020-02-20 Published:2020-02-25
  • Contact: Wenzheng WANG E-mail:songwei@bit.edu.cn;wwz@bit.edu.cn
  • About author:SONG Wei was born in 1989. He received his B.S. degree from Beijing University of Technology, Beijing, China, in 2011 and his M.S. degree from Beijing University of Technology, Beijing, China, in 2014. He is currently pursuing his Ph.D. degree with the School of Information and Electronics, Beijing Institute of Technology, Beijing, China. His research interests include compressive sensing, multiuser detection, massive MIMO and hybrid precoding. E-mail: songwei@bit.edu.cn|WANG Wenzheng was born in 1988. He received his Ph.D. degree from the School of Electrical and Information Engineering, Beijing Institute of Technology, Beijing, China, in 2019. He is currently a post-doctoral research fellow with the School of Electronics Engineering and Computer Science, Peking University. His current research interests include compressive sensing, hyperspectral/optical imagery target detection, feature selection and machine learning. E-mail: wwz@bit.edu.cn

Abstract:

Media based modulation (MBM) is expected to be a prominent modulation scheme, which has access to the high data rate by using radio frequency (RF) mirrors and fewer transmit antennas. Associated with multiuser multiple input multiple output (MIMO), the MBM scheme achieves better performance than other conventional multiuser MIMO schemes. In this paper, the massive MIMO uplink is considered and a conjunctive MBM transmission scheme for each user is employed. This conjunctive MBM transmission scheme gathers aggregate MBM signals in multiple continuous time slots, which exploits the structured sparsity of these aggregate MBM signals. Under this kind of scenario, a multiuser detector with low complexity based on the compressive sensing (CS) theory to gain better detection performance is proposed. This detector is developed from the greedy sparse recovery technique compressive sampling matching pursuit (CoSaMP) and exploits not only the inherently distributed sparsity of MBM signals but also the structured sparsity of multiple aggregate MBM signals. By exploiting these sparsity, the proposed CoSaMP based multiuser detector achieves reliable detection with low complexity. Simulation results demonstrate that the proposed CoSaMP based multiuser detector achieves better detection performance compared with the conventional methods.

Key words: media based modulation (MBM), radio frequency (RF) mirror, compressive sensing (CS), multiple input multiple output (MIMO), multiuser detector, compressive sampling matching pursuit (CoSaMP)