Cooperative Computation Offloading for Multi-Access Edge Computing in 6G Mobile Networks via Soft Actor Critic

作     者：Sun, Chuan Wu, Xiongwei Li, Xiuhua Fan, Qilin Wen, Junhao Leung, Victor C. M. 

作者机构：Chongqing Univ Key Lab Dependable Serv Comp Cyber Phys Soc Minist Educ Chongqing Peoples R China Chongqing Univ Sch Big Data & Software Engn Chongqing 401331 Peoples R China Chinese Univ Hong Kong Dept Elect Engn Shatin Hong Kong Peoples R China Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China Univ British Columbia Dept Elect & Comp Engn Vancouver BC V6T 1Z4 Canada 

出 版 物：《IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING》 (IEEE Trans. Netw. Sci. Eng.)

年 卷 期：2024年第11卷第6期

页      面：5601-5614页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0701[理学-数学] 

基　　金：National NSFC [61902044, 62072060] National Key R & D Program of China [2018YFB2100100, 2018YFF0214700] Chongqing Research Program of Basic Research and Frontier Technology [cstc2019jcyj- msxmX0589] Key Research Program of Chongqing Science & Technology Commission [CSTC2017jcyjBX0025, CSTC2019jscx- zdztzxX0031] Fundamental Research Funds for the Central Universities [2020CDJQY-A022] Guangdong Pearl River Talent Recruitment Program [2019ZT08X603] Canadian NSERC 

主　　题：Task analysis 6G mobile communication Edge computing Cloud computing Computer architecture Servers Resource management Multi-access edge computing 6G cooperative computation offloading service latency Soft Actor Critic. 

摘      要：Driven by numerous emerging mobile servicesand applications, multi-access edge computing (MEC) is regarded as a promising technique to alleviate core network congestion and reduce service latency for massive Internet of Things (IoT) over 6G mobile networks. However, the infrastructure of conventional MEC suffers from the lack of cloud server (CS) or cooperation of multiple edge servers (ESs), rendering it less capable of handling large-scale computation tasks in the ultra-dense smart environments. This paper investigates the issues of cooperative computation offloading for MEC in the 6G era. The proposed MEC system enables edge-cloud and edge-edge cooperation to address the limitations of single ES and the nonuniform distribution of computation task arrivals among multiple ESs. To support low-latency services, we model the cooperative computation offloading problem as a Markov decision process, and propose two intelligent computation offloading algorithms based on Soft Actor Critic (SAC), i.e., centralized SAC offloading and decentralized SAC offloading. Evaluation results show that the proposed algorithms outperform the existing computation offloading algorithms in terms of service latency.