Reinforcement learning for communication load balancing: approaches and challenges

D Wu, J Li, A Ferini, YT Xu, M Jenkin, S Jang… - Frontiers in Computer …, 2023 - frontiersin.org
The amount of cellular communication network traffic has increased dramatically in recent
years, and this increase has led to a demand for enhanced network performance …

Mixed-variable PSO with fairness on multi-objective field data replication in wireless networks

D Yuan, Y Nam, A Feriani, A Konar… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Digital twins have shown a great potential in supporting the development of wireless
networks. They are virtual representations of 5G/6G systems enabling the design of machine …

Adaptive dynamic programming for energy-efficient base station cell switching

J Luo, YT Xu, D Wu, M Jenkin, X Liu… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Energy saving in wireless networks is growing in importance due to increasing demand for
evolving new-gen cellular networks, environmental and regulatory concerns, and potential …

Policy reuse for communication load balancing in unseen traffic scenarios

YT Xu, J Li, D Wu, M Jenkin, S Jang, X Liu… - ar** in Reinforcement Learning-based RAN Optimization
J Li, I Kozlov, D Wu, X Liu… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The use of learning-based methods for optimizing cellular radio access networks (RAN) has
received increasing attention in recent years. This coincides with a rapid increase in the …

Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios

Y Tian, J Li, D Wu, M Jenkin, S Jang… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
With the continuous growth in communication network complexity and traffic volume,
communication load balancing solutions are receiving increasing attention. Specifically …