Work

QoE-Driven Content-Centric Caching With Deep Reinforcement Learning in Edge-Enabled IoT

Year: 2019

Type: article

Source: IEEE Computational Intelligence Magazine

DOI: 10.1109/mci.2019.2937608

Authors: Xiaoming He, Kun Wang, Wenyao Xu

Institutions: Nanjing University of Posts and Telecommunications, University of California, Los Angeles, University at Buffalo, State University of New York

Language: English

Topic: Caching and Content Delivery

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Science Foundation, National Natural Science Foundation of China

Awards: 面向边缘计算的数据安全关键技术研究, SaTC: CORE: Small: Collaborative: Cardiac Password: Exploring a Non-Contact and Continuous Approach to Secure User Authentication

OpenAlex ID: W2980507968

FWCI: 5.683

Cites: 25

Cited by: 61

Related to: 10