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基于改进贪婪类重构算法的物联网免授权多用户通信

王清江

无线电通信技术2024,Vol.50Issue(4):625-630,6.
无线电通信技术2024,Vol.50Issue(4):625-630,6.DOI:10.3969/j.issn.1003-3114.2024.04.002

基于改进贪婪类重构算法的物联网免授权多用户通信

Grant-free Multi-User Communication in IoT Based on an Improved Greedy Reconstruction Algorithm

王清江1

作者信息

  • 1. 福建省数字福建云计算运营有限公司,福建福州 350207
  • 折叠

摘要

Abstract

This article proposes a Compress Sensing based Multi-User Detection(CS-MUD)technology in grant-free Non-Orthogonal Multiple Access(NOMA)uplink transmission system to meet the needs of massive Machine Type Communications(mMTC)scenarios with large number of connections and information requirement in 5G.To meet the requirement of low overhead and low latency and to improve the reconstruction efficiency and reconstruction accuracy of the traditional Multi-User Detection(MUD)algorithm,this paper proposes a Dice-based Backtracking Orthogonal Matching Pursuit Multi-User Detection(DBOMP-MUD)algorithm.This proposed method first uses a Dice coefficient instead of atomic inner product for correlation calculation from matching criteria in atom pre-selec-tion stage.Secondly,backtracking is used to determine the atoms that minimizes the residual;finally,in each iteration.Regularization is adopted to find several atoms,which can balance reconstruction accuracy and efficiency.Simulation results show that the DBOMP-MUD algorithm proposed in this article takes into account both performance and efficiency during signal reconstruction.In the NOMA uplink transmission system reconstruction experiment,compared with the traditional CS-MUD algorithm,the signal-to-noise ratio gain can reach 1 dB,verifying the superiority of the proposed algorithm in NOMA uplink transmission system.Therefore,the proposed scheme can better meet the transmission delay and detection performance requirements in the practical mMTC.

关键词

大规模机器类通信/非正交多址/信号重构/压缩感知/多用户检测

Key words

mMTC/NOMA/signal reconstruction/compress sensing/MUD

分类

信息技术与安全科学

引用本文复制引用

王清江..基于改进贪婪类重构算法的物联网免授权多用户通信[J].无线电通信技术,2024,50(4):625-630,6.

无线电通信技术

OA北大核心

1003-3114

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