Deep Learning-Aided Channel Allocation Scheme for WLAN
Author:
Affiliation:
1. Graduate School of Information, Yonsei University, Seoul, Republic of Korea
2. Department of Information and Communication Engineering, Institute of Marine Industry, Gyeongsang National University, Tongyoung, Republic of Korea
Funder
National Research Foundation of Korea
Korea Government
ICT Research and Development Program of MSIT/IITP
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/10146529/10068753.pdf?arnumber=10068753
Reference18 articles.
1. Decentralized channel management in WLANs with graph neural networks;gao;arXiv 2210 16949,2022
2. Real-Time Channel Management in WLANs: Deep Reinforcement Learning versus Heuristics
3. On Quality-of-Service Provisioning in IEEE 802.11ax WLANs
4. Resource Allocation Based on Deep Neural Networks for Cognitive Radio Networks
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2. Rate-conforming Sub-band Allocation for In-factory Subnetworks: A Deep Neural Network Approach;2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2024-06-03
3. Channel Selection Game for IEEE 802.11ax;IEEE Transactions on Vehicular Technology;2024-06
4. Optimization of Throughput and Fairness Performance in Multi-Rate WLAN Network;2023 4th International Conference on Information Science, Parallel and Distributed Systems (ISPDS);2023-07-14
5. Channel Selection in Uncoordinated IEEE 802.11 Networks Using Graph Coloring;Sensors;2023-06-26
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