| 注册
首页|期刊导航|飞控与探测|协同频谱感知技术及其发展现状

协同频谱感知技术及其发展现状

李雪健 马宏 焦义文 王育欣 冯浩 陈其敏 宋雨珂

飞控与探测2026,Vol.9Issue(2):1-9,9.
✕
飞控与探测2026,Vol.9Issue(2):1-9,9.DOI:10.20249/j.cnki.2096-5974.2026.02.001

协同频谱感知技术及其发展现状

Advances on Cooperative Spectrum Sensing:Issues and Challenges

李雪健 1马宏 1焦义文 1王育欣 1冯浩 1陈其敏 1宋雨珂1

作者信息

  • 1. 航天工程大学电子与光学工程系·北京·101416||智能化航天测运控教育部重点实验室(航天工程大学)·北京·101416
  • 折叠

摘要

Abstract

Cooperative spectrum sensing is a key technology to solve the problems of multipath fading,shadowing effect and receiver uncertainty of a single cognitive radio(CR)node.First,four common coop-erative spectrum sensing models are sorted out,and the advantages and disadvantages of the four models as well as their usage scenarios are compared and analyzed in detail.Then,the research progress of cooperative spectrum sensing based on reinforcement learning is reviewed,and the advantages and disadvantages of several reinforcement learning algorithms as well as their applicability scenar-ios are compared and analyzed in detail,and it is found that there is still a great potential to reduce the synchronization and communication overheads of cooperative sensing.Finally,the current challenges and future research directions in cooperative spectrum sensing techniques based on rein-forcement learning are summarized,and the use of a multi-agent deep deterministic policy gradient(MADDPG)algorithm is proposed to solve the mobility synchronization and communication over-head problems of the cognitive radio network in cooperative sensing technology.

关键词

认知无线电/协同频谱感知模型/通信开销/强化学习/MADDPG算法

Key words

Cognitive Radio(CR)/Cooperative Spectrum Sensing(CSS)model/communication overheads/Reinforcement Learning(RL)/MADDPG algorithm

分类

信息技术与安全科学

引用本文复制引用

李雪健,马宏,焦义文,王育欣,冯浩,陈其敏,宋雨珂..协同频谱感知技术及其发展现状[J].飞控与探测,2026,9(2):1-9,9.

基金项目

智能化航天测运控教育部重点实验室基金资助项目(CYK2024-02-14) (CYK2024-02-14)

飞控与探测

2096-5974

访问量0
|
下载量0
段落导航相关论文