3 papers
cs.NI2026
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…
cs.NI2026
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…
cs.IT2024
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…