Resource Allocation for Multi-Cell Multi-Timeslot Transmission: Centralized and Distributed Algorithms-Reference-Cited by-同舟云学术

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Resource Allocation for Multi-Cell Multi-Timeslot Transmission: Centralized and Distributed Algorithms

Published:2024-06 Issue:3 Volume:21 Page:3021-3034
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Shan Liqing¹^ORCID,Gao Songtao²^ORCID,Yu Yiming²^ORCID,Zhang Fenghui³^ORCID,Hu Yuntao¹^ORCID,Wang Yinlu⁴^ORCID,Chen Ming¹^ORCID

Affiliation:

1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

2. Department of Radio Engineering, China Mobile Group Design Institute Company Ltd., Beijing, China

3. School of Electronics and Information Engineering, Western Anhui University, Liúan, China

4. School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

Funder

Fundamental Research on Frontier Leading Technology of Jiangsu Province

National Natural Science Foundation of China

Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications

High level Talent Project of West Anhui University

Anhui Natural Science Foundation

Major Project of Anhui Department of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4275028/10599562/10443649.pdf?arnumber=10443649

Reference36 articles.

1. AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment: Challenges and Solutions

2. Impact of Channel Aging on Dual-Function Radar-Communication Systems: Performance Analysis and Resource Allocation

3. Deep Reinforcement Learning-Based Resource Management for Flexible Mobile Edge Computing: Architectures, Applications, and Research Issues

4. Energy-Efficient Resource Allocation With Flexible Frame Structure for Hybrid eMBB and URLLC Services

5. Utility Optimization for Multi-User Task Offloading in Mobile Ad Hoc Cloud: A Stochastic Game Approach

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