摘要
针对5G时代广播电视无线传输覆盖中毫米波信号传播衰减、多径效应及覆盖范围受限的问题,提出基于毫米波信道优化、波束成形与边缘计算协同传输的综合方案。通过动态信道建模、深度强化学习优化波束方向和边缘计算调度资源,提升信号覆盖范围、传输质量和稳定性。实验结果表明,该方案在典型场景中的性能显著优于传统技术,为5G时代广播电视无线传输提供了有效支持。
Aiming at the problems of millimeter wave signal propagation attenuation,multipath effect and limited coverage in broadcasting and television wireless transmission coverage in the 5G era,a comprehensive scheme based on millimeter wave channel optimization,beam forming and edge computing cooperative transmission is proposed.Through dynamic channel modeling,deep reinforcement learning to optimize beam direction and edge computing scheduling resources,signal coverage,transmission quality and stability are improved.The experimental results show that the performance of this scheme is significantly better than traditional technologies in typical scenarios,providing effective support for wireless transmission of broadcasting and television in the 5G era.
作者
孔延
KONG Yan(Shandong Radio and Television Transmission Guarantee Center,Jinan 250014,China)
出处
《电视技术》
2025年第7期133-135,共3页
Video Engineering
关键词
5G时代
广播电视
无线传输覆盖
深度强化学习
边缘计算
5G era
broadcasting and television
wireless transmission coverage
deep reinforcement learning
edge computing
