Dynamic Channel Allocation Scheme Based on Traffic Prediction in Dense Wireless Networks-Reference-Cited by-同舟云学术

Dynamic Channel Allocation Scheme Based on Traffic Prediction in Dense Wireless Networks

Published:2024-09 Issue:9 Volume:23 Page:12331-12342
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Sun Kai¹^ORCID,Zhang Jie¹,Gao Xueliang¹,Huang Wei¹^ORCID,Zhang Haijun²^ORCID,Leung Victor C. M.³^ORCID

Affiliation:

1. School of Electronic Information Engineering, Inner Mongolia University, Hohhot, China

2. Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing, Beijing, China

3. Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada

Funder

National Natural Science Foundation of China

Natural Science Foundation of Inner Mongolia Autonomous Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7693/10678756/10516302.pdf?arnumber=10516302

Reference28 articles.

1. A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues

2. Learning-Based Resource Allocation in Heterogeneous Ultradense Network

3. Joint Interference Alignment and Subchannel Allocation in Ultra-Dense Networks

4. Machine Learning for 6G Wireless Networks: Carrying Forward Enhanced Bandwidth, Massive Access, and Ultrareliable/Low-Latency Service

5. Uplink Performance Improvement for Downlink-Uplink Decoupled HetNets with Non-uniform User Distribution

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