QoS-Aware Offloading Based on Communication-Computation Resource Coordination for 6G Edge Intelligence  

作　　者：Chaowei Wang Xiaofei Yu Lexi Xu Fan Jiang Weidong Wang Xinzhou Cheng 

机构地区：[1]School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China [2]Shaanxi Key Laboratory of Information Communication Network and Security,Xi’an University of Posts and Telecommunications,Xi’an 710121,China [3]Research Institute,China United Network Communications Corporation,Beijing 100048,China

出　　处：《China Communications》2023年第3期236-251,共16页中国通信（英文版）

基　　金：funded in part by the Open Research Fund of the Shaanxi Province Key Laboratory of Information Communication Network and Security under Grant No.ICNS202003;in part supported by BUPT Excellent Ph.D.Students Foundation under Grant CX2022210。

摘　　要：Driven by the demands of diverse artificial intelligence(AI)-enabled application,Mobile Edge Computing(MEC)is considered one of the key technologies for 6G edge intelligence.In this paper,we consider a serial task model and design a quality of service(QoS)-aware task offloading via communication-computation resource coordination for multi-user MEC systems,which can mitigate the I/O interference brought by resource reuse among virtual machines.Then we construct the system utility measuring QoS based on application latency and user devices’energy consumption.We also propose a heuristic offloading algorithm to maximize the system utility function with the constraints of task priority and I/O interference.Simulation results demonstrate the proposed algorithm’s significant advantages in terms of task completion time,terminal energy consumption and system resource utilization.

关 键 词：mobile edge computing serial task of-floading computation partitioning 6G edge intelli-gence I/O interference 

分 类 号：TN929.5[电子电信—通信与信息系统]