1 citations · 1 across the 3 of their papers we have counts for
4 papers
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach
Hao Fang, Kai Huang, Hao Ye +4
The pursuit of rate maximization in wireless communication frequently encounters substantial challenges associated with user fairness. This paper addresses these challenges by expl…
Meta-Learning Empowered Graph Neural Networks for Radio Resource Management
Kai Huang, Le Liang, Xinping Yi +3
In this paper, we consider a radio resource management (RRM) problem in the dynamic wireless networks, comprising multiple communication links that share the same spectrum resource…
Beam Prediction based on Large Language Models
Yucheng Sheng, Kai Huang, Le Liang +3
In this letter, we use large language models (LLMs) to develop a high-performing and robust beam prediction method. We formulate the millimeter wave (mmWave) beam prediction proble…
Meta Reinforcement Learning for Fast Spectrum Sharing in Vehicular Networks
Kai Huang, Le Liang, Shi Jin +1
In this paper, we investigate the problem of fast spectrum sharing in vehicle-to-everything communication. In order to improve the spectrum efficiency of the whole system, the spec…