TY - GEN
T1 - DDPG-based Computation Offloading and Service Caching in Mobile Edge Computing
AU - Chen, Lingxiao
AU - Gong, Guoqiang
AU - Jiang, Kai
AU - Zhou, Huan
AU - Chen, Rui
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Mobile Edge Computing (MEC) migrates the computing center to the network edge to provide computing services for Mobile Users (MUs). However, due to the limited capacity of MUs and insufficient types of services stored by edge servers, it brings great challenges to computation offloading and service caching in Internet of Things (IoT) network. In this paper, we investigate the joint optimization problem of computation offloading, resource allocation and service caching replacement in a collaborative MEC system to minimize the total cost of all MUs under the latency and resource constraints. Accordingly, we formulate the problem as a Mixed Integer Non-linear Programming (MINLP) problem. In order to solve this problem, the Deep Deterministic Policy Gradient (DDPG)-based algorithm is proposed. The simulation results show that the proposed algorithm is better than other benchmark schemes in different scenarios.
AB - Mobile Edge Computing (MEC) migrates the computing center to the network edge to provide computing services for Mobile Users (MUs). However, due to the limited capacity of MUs and insufficient types of services stored by edge servers, it brings great challenges to computation offloading and service caching in Internet of Things (IoT) network. In this paper, we investigate the joint optimization problem of computation offloading, resource allocation and service caching replacement in a collaborative MEC system to minimize the total cost of all MUs under the latency and resource constraints. Accordingly, we formulate the problem as a Mixed Integer Non-linear Programming (MINLP) problem. In order to solve this problem, the Deep Deterministic Policy Gradient (DDPG)-based algorithm is proposed. The simulation results show that the proposed algorithm is better than other benchmark schemes in different scenarios.
KW - computation offloading
KW - DDPG
KW - mobile edge computing
KW - resource allocation
KW - service caching
UR - https://www.scopus.com/pages/publications/85133900175
U2 - 10.1109/INFOCOMWKSHPS54753.2022.9797916
DO - 10.1109/INFOCOMWKSHPS54753.2022.9797916
M3 - 会议稿件
AN - SCOPUS:85133900175
T3 - INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops
BT - INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2022
Y2 - 2 May 2022 through 5 May 2022
ER -