陆战场中的计算卸载和资源分配  

Computation Offloading and Resource Allocation in the Land Battlefield

作　　者：杨力[1,2] 马伟东 郭江宇 魏德宾[1] 张钟铮 YANG Li;MA Weidong;GUO Jiangyu;WEI Debin;ZHANG Zhongzheng(Key Laboratory of Communication and Network,Dalian University,Dalian 116620,China;Nanjing University of Science and Technology,Nanjing 210094,China;North Automatic Control Technology Institute,Taiyuan 030006,China)

机构地区：[1]大连大学通信与网络重点实验室,辽宁大连116620 [2]南京理工大学,南京210094 [3]北方自动控制技术研究院,太原030006

出　　处：《火力与指挥控制》2023年第4期17-23,31,共8页Fire Control & Command Control

基　　金：国家自然科学基金资助项目(U21B2003)。

摘　　要：移动边缘计算(MEC)作为5G时代的关键技术之一,通过计算卸载的方式提升任务执行质量。区别于其他研究,以陆战场为应用背景,针对多类型卸载任务共存的情况,考虑各类型任务的属性及需求,划分任务卸载优先级,以最小化系统开销为目标的同时提升高卸载优先级任务的卸载数量。通过仿真验证上述方法的可行性与优越性。As one of the key technologies in the 5G era,MEC(Mobile Edge Computing)improves the quality of task execution by offloading compution.Different from the other researches,the land battlefield is taken as the application background,considering the coexistence of multiple types of offloading tasks,the attributes and requirements of each type of tasks,the offloaded tasks are prioritized,while the system overhead is minimized,the number of being offloaded for high-priority tasks is increased.Finally,the feasibility and superiority of the above method are verified by simulations.

关 键 词：计算卸载 资源优化 免疫算法 边缘计算 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]