Adaptive Request Scheduling and Service Caching for MEC-Assisted IoT Networks: An Online Learning Approach-Reference-Cited by-同舟云学术

Adaptive Request Scheduling and Service Caching for MEC-Assisted IoT Networks: An Online Learning Approach

Author:

Ren Dewang¹^ORCID,Gui Xiaolin¹^ORCID,Zhang Kaiyuan¹^ORCID

Affiliation:

1. Faculty of Electronic and Information Engineering and Shaanxi Province Key Laboratory of Computer Network, Xi’an Jiaotong University, Xi’an, China

Funder

National Key Research and Development Project, China

Key Research and Development Project of Shaanxi Province, China

Fundamental Research Funds for the Central Universities

Key Science and Technology Project of Henan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference45 articles.

1. Policy gradient methods for reinforcement learning with function approximation;sutton;Proc NIPS,1999

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献