Jointly Optimized Request Dispatching and Service Placement for MEC in LEO Network  

作　　者：Chengcheng Li Yasheng Zhang Xuekun Hao Tao Huang 

机构地区：[1]The 54th Research Institute of CETC,Shijiazhuang 050081,China [2]Beijing University of Posts and Telecommunications,Beijing 100876,China [3]The 50th Research Institute of CETC,Shanghai 200331,China

出　　处：《China Communications》2020年第8期199-208,共10页中国通信（英文版）

基　　金：funded by the Excellent Postdoctoral Study Project Funding of Hebei Province,grant number B2019005006。

摘　　要：Integrating Multi-access Edge Computing(MEC) in Low Earth Orbit(LEO) network is an important way to provide globally seamless low-delay service. In this paper, we consider the scenario that MEC platforms with computation and storage resource are deployed on LEO satellites, which is called "LEO-MEC". Service request dispatching decision is very important for resource utilization of the whole LEO-MEC system and Qo E of MEC users. Another important problem is service placement that is closely coupled with request dispatching. This paper models the joint service request dispatching and service placement problem as an optimization problem, which is a Mixed Integer Linear Programming(MILP). Our proposed mechanism solves this problem and uses the solved decision variables to dispatch requests and place services. Simulation results show that our proposed mechanism can achieve better performance in terms of ratio of served users and average hop count compared with baseline mechanism.

关 键 词：Low Earth Orbit(LEO)network Multi-access Edge Computing(MEC) request dispatching service placement 

分 类 号：TN927.2[电子电信—通信与信息系统]