TY - GEN
T1 - SAC-based Computation Offloading and Resource Allocation in Vehicular Edge Computing
AU - Zheng, Yanlang
AU - Zhou, Huan
AU - Chen, Rui
AU - Jiang, Kai
AU - Cao, Yue
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The Vehicular Edge Computing (VEC) provides powerful computing resources for intelligent terminals. However, the diversity of computing resources at edge nodes (i.e., edge servers and idle vehicles) and the mobility of vehicles impose great challenges on computation offloading. In this paper, we investigate the joint optimization problem of computation offloading and resource allocation in a cooperative vehicular network by exploiting idle vehicles and Road Side Units (RSUs) equipped with edge servers. In order to minimize the task completion time under latency constraint, a Soft Actor-Critic (SAC)-based algorithm is proposed to solve the problem. The simulation results show that the proposed SAC-based algorithm can effectively reduce the total latency of the system, and its performance is significantly better than other benchmark methods.
AB - The Vehicular Edge Computing (VEC) provides powerful computing resources for intelligent terminals. However, the diversity of computing resources at edge nodes (i.e., edge servers and idle vehicles) and the mobility of vehicles impose great challenges on computation offloading. In this paper, we investigate the joint optimization problem of computation offloading and resource allocation in a cooperative vehicular network by exploiting idle vehicles and Road Side Units (RSUs) equipped with edge servers. In order to minimize the task completion time under latency constraint, a Soft Actor-Critic (SAC)-based algorithm is proposed to solve the problem. The simulation results show that the proposed SAC-based algorithm can effectively reduce the total latency of the system, and its performance is significantly better than other benchmark methods.
KW - Soft Actor-Critic
KW - collaborative computation offloading
KW - resource allocation
KW - vehicle edge computing
UR - http://www.scopus.com/inward/record.url?scp=85133934450&partnerID=8YFLogxK
U2 - 10.1109/INFOCOMWKSHPS54753.2022.9798187
DO - 10.1109/INFOCOMWKSHPS54753.2022.9798187
M3 - 会议稿件
AN - SCOPUS:85133934450
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 -