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Echo State Networks for Self-Organizing Resource Allocation in LTE-U with Uplink-Downlink Decoupling.

, , and . CoRR, (2016)

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Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks., , and . CoRR, (2018)Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks with Mobile Users., , , and . CoRR, (2016)Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks., , , , and . IEEE Trans. Wirel. Commun., 19 (1): 177-191 (2020)UVeQFed: Universal Vector Quantization for Federated Learning., , , , and . CoRR, (2020)Power Efficient Visible Light Communication With Unmanned Aerial Vehicles., , , , and . IEEE Communications Letters, 23 (7): 1272-1275 (2019)Analysis of Memory Capacity for Deep Echo State Networks., , , and . CoRR, (2019)A Joint Learning and Communications Framework for Federated Learning over Wireless Networks., , , , , and . CoRR, (2019)Machine Learning for Predictive Deployment of UAVs with Multiple Access., , , , and . CoRR, (2020)Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial., , , , and . IEEE Commun. Surv. Tutorials, 21 (4): 3039-3071 (2019)Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach., , , , , , and . CoRR, (2022)