电讯技术2025，Vol.65Issue(11)：1754-1765,12.DOI:10.20079/j.issn.1001-893x.240618004
面向近海通信的移动边缘网络动态服务缓存策略
Dynamic Service Caching Strategy for Mobile Edge Computing to Aid Offshore Communications
摘要
Abstract
In order to achieve low-latency and low-energy offshore communication,the dynamic service cache update mechanism is introduced into the complex neural network,and the mobile edge dynamic service caching policy(MEDSCP)based on double deep Q network(DDQN)is proposed by cleverly designing the complex neural network structure based on offshore communication scenarios.The policy firstly obtains the optimal offloading decision set through the user terminal task offloading decision game,and then utilizes mobile edge computing(MEC)and dynamic service caching update to reduce the delay and energy cost of task execution in the offshore communication environment,aiming to improve the efficiency of task processing in offshore communication and to expand the development potential of this industry.Simulation experimental results show that the proposed MEDSCP strategy can achieve fast convergence of the algorithm while guaranteeing the training effect,and also effectively reduce the delay-energy weighted sum of offshore communications compared with existing work.关键词
近海通信/深度强化学习/移动边缘计算/博弈论/动态缓存Key words
offshore communication/deep reinforcement learning/mobile edge computing/game theory/dynamic cache分类
电子信息工程引用本文复制引用
庄颖瑜,潘春雨,李学华..面向近海通信的移动边缘网络动态服务缓存策略[J].电讯技术,2025,65(11):1754-1765,12.基金项目
北京市自然科学基金-海淀原始创新联合基金(L212026) （L212026）
北京市教委科技计划一般项目(KM202211232011) （KM202211232011）
