计算机科学
资源配置
计算
数学优化
计算卸载
凸优化
GSM演进的增强数据速率
最优化问题
边缘计算
能源消耗
任务(项目管理)
资源管理(计算)
迭代法
分布式计算
正多边形
算法
计算机网络
数学
人工智能
生物
几何学
生态学
经济
管理
作者
Ruisong Wang,Weichen Zhu,Gongliang Liu,Ruofei Ma,Di Zhang,Shahid Mumtaz,Soumaya Cherkaoui
出处
期刊:Globecom
[Institute of Electrical and Electronics Engineers]
日期:2022-12-04
卷期号:: 5625-5630
被引量:23
标识
DOI:10.1109/globecom48099.2022.10000770
摘要
In this paper, we investigate the collaborative computation offloading method in satellite edge computing by allowing computation tasks to be executed by multiple satellites with computing capacity. The main purpose is to optimize the resource allocation to minimize the energy consumption of the network, which is formulated as a non-convex optimization problem. To solve it efficiently, we first provide the optimal task allocation scheme and then divide the original optimization problem into two subproblems based on an alternative optimization method. Although two subproblems are still non-convex, we can apply successive convex approximation method to deal with them and design an iterative algorithm to solve them. Finally, simulation results demonstrate the superiority and effectiveness of our proposed algorithm.
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