计算机工程与应用2025，Vol.61Issue(4)：43-58,16.DOI:10.3778/j.issn.1002-8331.2402-0156
深度强化学习在边缘视频传输优化中的应用综述
Survey on Applications of Deep Reinforcement Learning in Edge Video Transmission Optimization
摘要
Abstract
In the era of industrial video,with the rapid development of edge computing and artificial intelligence technology,the edge intelligence has been born,and the research of video transmission optimization based on edge computing net-work has ushered in new opportunities.Based on the summary of the content of edge video transmission optimization,this paper expounds the research and progress of deep reinforcement learning applied to edge video transmission optimiza-tion.The concept of edge intelligent video transmission optimization is proposed,and the method classification of edge intel-ligent video transmission optimization is presented.It consists of edge intelligent video transmission optimization for net-work QoS and edge intelligent video transmission optimization for user QoE,and the detailed description is respectively given.The main problems of edge video transmission optimization at present are studied and analyzed,the future hot research directions of edge intelligent video transmission optimization are pointed out by finding laws,summarizing defi-ciencies and highlighting advantages.关键词
移动边缘计算/深度强化学习/边缘智能/边缘智能视频传输优化Key words
mobile edge computing/deep reinforcement learning/edge intelligence/edge intelligent video transmission optimization分类
信息技术与安全科学引用本文复制引用
李彦,万征..深度强化学习在边缘视频传输优化中的应用综述[J].计算机工程与应用,2025,61(4):43-58,16.基金项目
国家自然科学基金(61961021) （61961021）
江西省教育厅科技计划重点项目(GJJ180251). （GJJ180251）
