计算机科学
计算卸载
边缘计算
移动边缘计算
分布式计算
资源配置
云计算
调度(生产过程)
GSM演进的增强数据速率
资源管理(计算)
能源消耗
数学优化
计算机网络
作者
Wanning Liu,Yitao Xu,Nan Qi,Kailing Yao,Yuli Zhang,Wenhui He
出处
期刊:International Conference on Wireless Communications and Signal Processing
日期:2020-10-21
卷期号:: 280-285
被引量:3
标识
DOI:10.1109/wcsp49889.2020.9299713
摘要
With the emergence of multi-access edge computing (MEC) paradigm, mobile users who have computation-intensive and low-latency tasks can exploit computing resources of network edge MEC servers or other computing nodes. For a multi-user and multi-helper coexisting system (e.g., a cluster of UAVs), when computation offloading occurs, an efficient computation offloading scheme which can reduce users’ energy consumption or latency is required. In this paper, we study the computation offloading scheme in a multi-user UAV system in which UAVs with missions can offload part of the missions to helpers nearby to meet the delay constraint. And we minimize the total energy consumption of all devices by optimizing users’ strategy of offloading objects, transmission channel, and offloading rate. To solve the difficult problem of optimization variable coupling, we proposed a two-stage resource allocation scheme that exploits the convex optimization method and stochastic learning automata (SLA) algorithm respectively. Finally, simulation results indicate that our proposed schemes can effectively decrease energy consumption compared to several benchmark schemes.
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