Knowledge Commons of Institute of Automation,CAS
Joint caching and transmission in the mobile edge network: An multi-agent learning approach | |
Mi,Qirui1; Yang,Ning1; Zhang,Haifeng1; Zhang,Haijun2; Wang,Jun3 | |
2021-12-07 | |
会议名称 | IEEE Global Communications Conference (GLOBECOM) |
会议日期 | 2021-12-7 |
会议地点 | Madrid, Spain |
摘要 | Joint caching and transmission optimization problem is challenging due to the deep coupling between decisions. This paper proposes an iterative distributed multi-agent learning approach to jointly optimize caching and transmission. The goal of this approach is to minimize the total transmission delay of all users. In this iterative approach, each iteration includes caching optimization and transmission optimization. A multi-agent reinforcement learning (MARL)-based caching network is developed to cache popular tasks, such as answering which files to evict from the cache and which files to storage. Based on the cached files of the caching network, the transmission network transmits cached files for users by single transmission (ST) or joint transmission (JT) with multi-agent Bayesian learning automaton (MABLA) method. And then users access the edge servers with the minimum transmission delay. The experimental results demonstrate the performance of the proposed multi-agent learning approach. |
收录类别 | EI |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 决策智能理论与方法 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57248 |
专题 | 复杂系统认知与决策实验室_群体决策智能团队 |
通讯作者 | Yang,Ning |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Science and Technology Beijing 3.University College London |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Mi,Qirui,Yang,Ning,Zhang,Haifeng,et al. Joint caching and transmission in the mobile edge network: An multi-agent learning approach[C],2021. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Joint_Caching_and_Tr(1724KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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