Residual Energy Maximization for Wireless Powered Mobile Edge Computing Systems With Mixed-Offloading-Reference-Cited by-同舟云学术

Residual Energy Maximization for Wireless Powered Mobile Edge Computing Systems With Mixed-Offloading

Published:2022-04 Issue:4 Volume:71 Page:4523-4528
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Wu Mengru¹^ORCID,Qi Weijing²^ORCID,Park Junhee³^ORCID,Lin Peng²^ORCID,Guo Lei²^ORCID,Lee Inkyu³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Northeastern University, Shenyang, China

2. Institute of Intelligent Communication and Network Security, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

3. School of Electrical Engineering, Korea University, Seoul, Korea

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Chongqing Municipal Education Commission

Natural Science Foundation of Chongqing

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/9765825/09698985.pdf?arnumber=9698985

Reference21 articles.

1. Joint Computation Offloading and Radio Resource Allocation in MEC-Based Wireless-Powered Backscatter Communication Networks

2. Computation Rate Maximization for Wireless Powered Mobile-Edge Computing With Binary Computation Offloading

3. Computation Scheduling for Wireless Powered Mobile Edge Computing Networks

4. User Satisfaction Oriented Resource Allocation for Fog Computing: A Mixed-Task Paradigm

5. Mobile Edge Computing in Unmanned Aerial Vehicle Networks

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