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07/11/2023
Channel Selection for Wi-Fi 7 Multi-Link Operation via Optimistic-Weighted VDN and Parallel Transfer Reinforcement Learning
Dense and unplanned IEEE 802.11 Wireless Fidelity(Wi-Fi) deployments and...
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07/06/2023
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning
rApps and xApps need to be controlled and orchestrated well in the open ...
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03/15/2023
RL meets Multi-Link Operation in IEEE 802.11be: Multi-Headed Recurrent Soft-Actor Critic-based Traffic Allocation
IEEE 802.11be -Extremely High Throughput-, commercially known as Wireles...
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02/01/2023
Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning
The growing adoption of mmWave frequency bands to realize the full poten...
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01/27/2023
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning
Federated Learning (FL) has emerged as a promising framework for distrib...
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01/18/2023
Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments
In 5G non-standalone mode, an intelligent traffic steering mechanism can...
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01/13/2023
Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity
5G New Radio proposes the usage of frequencies above 10 GHz to speed up ...
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01/12/2023
Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning
In 5G non-standalone mode, traffic steering is a critical technique to t...
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11/28/2022
Cooperate or not Cooperate: Transfer Learning with Multi-Armed Bandit for Spatial Reuse in Wi-Fi
The exponential increase of wireless devices with highly demanding servi...
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10/13/2021
Competitive Multi-Agent Load Balancing with Adaptive Policies in Wireless Networks
Using Machine Learning (ML) techniques for the next generation wireless ...
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07/09/2021
QoS-Aware Load Balancing in Wireless Networks using Clipped Double Q-Learning
In recent years, long-term evolution (LTE) and 5G NR (5th Generation New...
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12/09/2020
