Computer Science

Computer Science ›› 2023, Vol. 50 ›› Issue (5): 322-328.doi: 10.11896/jsjkx.220400170

• Computer Network • Previous Articles     Next Articles

Anti-interference Multiuser Detection Algorithm Based on Variable Step Size Adaptive Matching Pursuit in Grant-free NOMA System

LI Yuge, WANG Tianjing, SHEN Hang, LUO Xiaokang, BAI Guangwei   

  1. School of Computer Science and Technology,Nanjing University of Technology,Nanjing 211816,China
  • Received:2022-04-17 Revised:2022-09-13 Online:2023-05-15 Published:2023-05-06
  • About author:LI Yuge,born in 1997,postgraduate.His main research interests include wireless network and machine learning.
    WANG Tianjing,born in 1977,Ph.D,associate professor,master supervisor.Her main research interests include wireless network and machine learning.
  • Supported by:
    National Natural Science Foundation of China(61501224,61502230),Natural Science Foundation of Jiangsu Province(BK20201357),Six Talent Peak High-level Talent Project of Jiangsu Province(RJFW-020),Jiangsu Key Laboratory Project of Big Data Security and Intelligent Processing(Nanjing University of Posts and Telecommunications)(BDSIP1910),State Key Laboratory Project of New Computer Software Technology(Nanjing University)(KFKT2017B21) and Jiangsu Graduate Scientific Research and Practice Innovation Plan(SJCX21_0486).

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Abstract: The fifth generation mobile communication system(5G) uses non-orthogonal multiple access(NOMA) technology for non-orthogonal multiplexing of wireless communication resources,which improves the spectrum utilization efficiency and system capacity by the way of overload.The NOMA system uses the grant-free mode to reduce the system flow and signaling overhead,but the receiver needs to perform multi-user detection.Based on the sparse characteristics of active users,the base station uses the compressed sensing(CS) reconstruction algorithm to recover the mixed sparse vectors of active users,and realizes efficient multi-user detection.The dense deployment of base stations in 5G network enhances the interferences among neighboring cells that increases the difficulty of CS-based detection and reduces the accuracy of detection.Aiming at the problem of interference in multi-user detection in the grant-free NOMA system,an anti-interference multiuser detection algorithm based on variable step size adaptive matching pursuit is proposed.Unknowing the sparse degree,the anti-interference active user detection can be realized by the adaptive variable step size way,in which the sparse degree is fast approached with large step size and accurately approximated with small step size.Simulation results show that,under different overload rates,the bit error rates of the proposed algorithm are lower than that of traditional multi-user detection algorithms based on OMP,gOMP and SAMP.

Key words: Grant-free non-orthogonal multiple access system, Multi-user detection, Anti-interference, Variable step size adaptive matching

CLC Number: 

  • TN929.5
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