Knowledge Commons of Institute of Automation,CAS
Multi-objective Deep Reinforcement Learning for Mobile Edge Computing | |
Yang,Ning1![]() ![]() ![]() | |
2023 | |
会议名称 | International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) |
会议日期 | 2023/8/24-27 |
会议地点 | Singapore |
产权排序 | 1 |
摘要 | Mobile edge computing (MEC) is essential for next-generation mobile network applications that prioritize various performance metrics, including delays and energy consumption. However, conventional single-objective scheduling solutions cannot be directly applied to practical systems in which the preferences of these applications (i.e., the weights of different objectives) are often unknown or challenging to specify in advance. In this study, we address this issue by formulating a multi-objective offloading problem for MEC with multiple edges to minimize expected long-term energy consumption and transmission delay while considering unknown preferences as parameters. To address the challenge of unknown preferences, we design a multi-objective (deep) reinforcement learning (MORL)-based resource scheduling scheme with proximal policy optimization (PPO). In addition, we introduce a well-designed state encoding method for constructing features for multiple edges in MEC systems, a sophisticated reward function for accurately computing the utilities of delay and energy consumption. Simulation results demonstrate that our proposed MORL scheme enhances the hypervolume of the Pareto front by up to 233.1% compared to benchmarks. |
关键词 | mobile edge computing multi-objective reinforcement learning resource scheduling |
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/173211/57246 |
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 | Zhang,Meng |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.ZJU-UIUC Institute, Zhejiang University 3.Department of Computer Science and Engineering, Southern University of Science and Technology |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yang,Ning,Wen,Junrui,Zhang,Meng,et al. Multi-objective Deep Reinforcement Learning for Mobile Edge Computing[C],2023. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Multi-objective_Deep(499KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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