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Trajectory Aware Hierarchical Clustering Framework for Distributed Interference Management in Next-Generation Networks
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inferredcites →https://doi.org/10.1007/s44227-024-00042-zopenalex-snapshot
Cell-Edge User Satisfaction-Based Dynamic CoMP Clustering with Load Awareness in Ultra-Dense Networks
inferredcites →https://doi.org/10.1016/j.comnet.2022.108987openalex-snapshot
A novel Distributed AI framework with ML for D2D communication in 5G/6G networks
inferredcites →https://doi.org/10.1016/j.future.2022.11.011openalex-snapshot
User-centric base station clustering and resource allocation for cell-edge users in 6G ultra-dense networks
inferredcites →https://doi.org/10.1016/j.jnca.2023.103593openalex-snapshot
Accelerated resource allocation based on experience retention for B5G networks
inferredcites →https://doi.org/10.1109/comst.2023.3249835openalex-snapshot
On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds
inferredcites →https://doi.org/10.1109/globecom48099.2022.10001317openalex-snapshot
Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G
inferredcites →https://doi.org/10.1109/tmlcn.2023.3313988openalex-snapshot
A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks
inferredcites →https://doi.org/10.1109/tvt.2017.2787802openalex-snapshot
Graph-Based Joint User-Centric Overlapped Clustering and Resource Allocation in Ultradense Networks
inferredcites →https://doi.org/10.15294/jte.v15i2.48738openalex-snapshot
Interference Management Based on Clustering Method for Ultra-Dense Networks in Multicellular Network
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