Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (11): 3851-3858.doi: 10.12305/j.issn.1001-506X.2025.11.32

• Communications and Networks • Previous Articles    

Subframe-combined spread spectrum and compressed sensing based massive grant-free multiple access scheme

Jing ZHANG1,2,*(), Xiang CHEN1,2(), Shuoyu WU3(), Longming YU3()   

  1. 1. School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
    2. Jiangsu Province Key Lab of Wireless Communications and Internet of Things,Nanjing 210003,China
    3. School of Portland,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
  • Received:2025-04-16 Online:2025-11-25 Published:2025-12-08
  • Contact: Jing ZHANG E-mail:jingzhang@njupt.edu.cn;1185734710@qq.com;1273643172@qq.com;3412539823@qq.com

Abstract:

Aiming at the terminal access problem for massive machine-type communication in sparse burst scenarios, a subframe-combined spread spectrum and compressed sensing based massive grant-free multiple access scheme is proposed. First, a subframe-combined spread spectrum uplink transmission mode is designed, which supports users to transmit service data on multiple subframes with different spread spectrum sequences, thereby enhancing user characteristics to reduce multiple access interference. Subsequently, a method for generating subframe spreading codebooks based on cyclic shift is designed, and an uplink multiple access transmission model and a multi-user signal compressive sensing model are established. Finally, a subframe-combined spread spectrum assisted simultaneous subspace pursuit algorithm is put up to detect active users and reconstruct multi-user signal. Simulation results show that, compared to traditional methods, the proposed scheme reduces the bit error rate of multi-user detection by nearly an order of magnitude under high signal to noise ratio conditions, and the overload rate increases by about three times under the condition of bit error rate being 0.1, which demonstrate excellent random multiple access performance.

Key words: massive machine type communication, grant-free non-orthogonal multiple access, subframe-combined spread spectrum, compressed sensing based multi-user detection

CLC Number: 

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