RIS-Aided Cooperative Mobile Edge Computing: Computation Efficiency Maximization via Joint Uplink and Downlink Resource Allocation-Reference-Cited by-同舟云学术

RIS-Aided Cooperative Mobile Edge Computing: Computation Efficiency Maximization via Joint Uplink and Downlink Resource Allocation

Published:2024-09 Issue:9 Volume:23 Page:11535-11550
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Liu Zhenrong¹^ORCID,Li Zongze²^ORCID,Gong Yi³^ORCID,Wu Yik-Chung⁴^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong

2. Peng Cheng Laboratory, Shenzhen, China

3. Department of Electrical and Electronic Engineering, Southern University of Science and Technology, University Key Laboratory of Advanced Wireless Communications of Guangdong Province, Shenzhen, China

4. Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7693/10678775/10492663.pdf?arnumber=10492663

Reference58 articles.

1. A Survey on Mobile Edge Computing: The Communication Perspective

2. Traffic-Aware Task Offloading Based on Convergence of Communication and Sensing in Vehicular Edge Computing

3. Computing and Communication Cost-Aware Service Migration Enabled by Transfer Reinforcement Learning for Dynamic Vehicular Edge Computing Networks

4. Reconfigurable Intelligent Surface Aided Mobile Edge Computing: From Optimization-Based to Location-Only Learning-Based Solutions

5. Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks