Task Offloading With Multi-Tier Computing Resources in Next Generation Wireless Networks-Reference-Cited by-同舟云学术

Task Offloading With Multi-Tier Computing Resources in Next Generation Wireless Networks

Published:2023-02 Issue:2 Volume:41 Page:306-319
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Wang Kunlun¹^ORCID,Jin Jiong²^ORCID,Yang Yang³,Zhang Tao⁴^ORCID,Nallanathan Arumugam⁵^ORCID,Tellambura Chintha⁶^ORCID,Jabbari Bijan⁷^ORCID

Affiliation:

1. Shanghai Key Laboratory of Multidimensional Information Processing and the School of Communication and Electronic Engineering, East China Normal University, Shanghai, China

2. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

3. Terminus Group, Beijing, China

4. U.S. National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA

5. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K

6. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

7. Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Major Key Project of Peng Cheng Laboratory

Joint Funds of the National Natural Science Foundation of China

National Development and Reform Commission of China (NDRC) through the “fifth-generation (5G) Network Enabled Intelligent Medicine and Emergency Rescue System for Giant Cities.”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/10019602/09978919.pdf?arnumber=9978919

Reference111 articles.

1. Optimized transmission for fading multiple-access and broadcast channels with multiple antennas

2. Fundamentals of Wireless Communication

3. Removing Channel Estimation by Location-Only Based Deep Learning for RIS Aided Mobile Edge Computing

4. Reconfigurable Intelligent Surface Aided Mobile Edge Computing

5. Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network

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