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Penalized and Decentralized Contextual Bandit Learning for WLAN Channel Allocation with Contention-Driven Feature Extraction.

, , , , , and . IEICE Trans. Commun., 105-B (10): 1268-1279 (October 2022)

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Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks., , , , , and . VTC Fall, page 1-5. IEEE, (2019)Reassociation method based on top trading cycles for WLANs: Mechanism design approach., , , and . SPAWC, page 1-5. IEEE, (2017)Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs With Graph Convolutional Networks., , , , , and . IEEE Access, (2020)A Sequential WLAN Channel Selection Adaptive to Factors Outside the System., , , , , and . CCNC, page 1-2. IEEE, (2020)Modeling and Analysis of Interactions in Wireless Resource Allocation.. Kyoto University, Japan, (2020)Asymptotic Analysis of Normalized SNR-Based Scheduling in Uplink Cellular Networks with Truncated Channel Inversion Power Control., , , , and . ICC, page 1-6. IEEE, (2018)Thompson Sampling-Based Heterogeneous Network Selection Considering Stochastic Geometry Analysis., , , , and . CCNC, page 1-6. IEEE, (2020)Joint range adjustment and channel assignment for overlap mitigation in dense WLANs., , , , , and . PIMRC, page 1974-1979. IEEE, (2015)Penalized and Decentralized Contextual Bandit Learning for WLAN Channel Allocation with Contention-Driven Feature Extraction., , , , , and . IEICE Trans. Commun., 105-B (10): 1268-1279 (October 2022)Contextual Bandit-Based Channel Selection for Wireless LANs with Interference-Driven Feature Extraction., , , , and . CoRR, (2020)