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20202023
most citedBayesian Q-learning With Imperfect Expert Demonstrations

3 citations · 9 across the 20 of their papers we have counts for

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5 papers · 1 filter

cs.NI2023

Adaptive Dynamic Programming for Energy-Efficient Base Station Cell Switching

Junliang Luo, Yi Tian Xu, Di Wu +3

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 en…

cs.NI2023★ 2 cited

Realizing XR Applications Using 5G-Based 3D Holographic Communication and Mobile Edge Computing

Dun Yuan, Ekram Hossain, Di Wu +2

3D holographic communication has the potential to revolutionize the way people interact with each other in virtual spaces, offering immersive and realistic experiences. However, de…

cs.NI2023

Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks

Dun Yuan, Yujin Nam, Amal Feriani +5

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 lear…

cs.NI2023

Communication Load Balancing via Efficient Inverse Reinforcement Learning

Abhisek Konar, Di Wu, Yi Tian Xu +3

Communication load balancing aims to balance the load between different available resources, and thus improve the quality of service for network systems. After formulating the load…

cs.NI2023

Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios

Yi Tian Xu, Jimmy Li, Di Wu +4

With the continuous growth in communication network complexity and traffic volume, communication load balancing solutions are receiving increasing attention. Specifically, reinforc…