4 papers
DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programming
Chee Wei Tan, Siya Chen
Next-generation wireless networks, including satellite-to-Open RAN systems, demand agile and intelligent resource management capable of handling dynamic multi-user interference und…
Deep Reinforcement Learning Based Block Coordinate Descent for Downlink Weighted Sum-rate Maximization on AI-Native Wireless Networks
Siya Chen, Chee Wei Tan, H. Vincent Poor
This paper introduces a deep reinforcement learning-based block coordinate descent (DRL-based BCD) algorithm to address the nonconvex weighted sum-rate maximization (WSRM) problem…
OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep Learning
Siya Chen, Chee Wei Tan, Xiangping Zhai +1
The next-generation radio access network (RAN), known as Open RAN, is poised to feature an AI-native interface for wireless cellular networks, including emerging satellite-terrestr…
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks with Graph Neural Networks
Chee Wei Tan, Pei-Duo Yu, Siya Chen +1
Digital contact tracing aims to curb epidemics by identifying and mitigating public health emergencies through technology. Backward contact tracing, which tracks the sources of inf…