Utility Maximization for IRS Assisted Wireless Powered Mobile Edge Computing and Caching (WP-MECC) Networks-Reference-Cited by-同舟云学术

Utility Maximization for IRS Assisted Wireless Powered Mobile Edge Computing and Caching (WP-MECC) Networks

Published:2023-01 Issue:1 Volume:71 Page:457-472
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Chu Zheng¹^ORCID,Xiao Pei¹^ORCID,Shojafar Mohammad¹^ORCID,Mi De¹^ORCID,Hao Wanming²^ORCID,Shi Jia³^ORCID,Zhou Fuhui⁴^ORCID

Affiliation:

1. 5GIC & 6GIC, Institute for Communication Systems (ICS), University of Surrey, Guildford, U.K

2. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China

3. State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China

4. Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

U.K. Engineering and Physical Sciences Research Council

China National Natural Science Foundation

National Natural Science Foundation of China

Young Elite Scientist Sponsorship Program by CAST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10016736/09950554.pdf?arnumber=9950554

Reference44 articles.

1. Convex Optimization

2. Wireless Energy Harvesting Using Signals From Multiple Fading Channels

3. Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis

4. Q-Learning-Based Spectrum Access for Content Delivery in Mobile Networks

5. Edge Cache-Assisted Secure Low-Latency Millimeter-Wave Transmission

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