3 papers
cs.NI2025
LLM-Based Emulation of the Radio Resource Control Layer: Towards AI-Native RAN Protocols
Ziming Liu, Bryan Liu, Alvaro Valcarce +1
Integrating Large AI Models (LAMs) into 6G mobile networks is a key enabler of the AI-Native Air Interface (AI-AI), where protocol intelligence must scale beyond handcrafted logic.…
eess.SP2024
From Simulation to Practice: Generalizable Deep Reinforcement Learning for Cellular Schedulers
Petteri Kela, Bryan Liu, Alvaro Valcarce
Efficient radio packet scheduling remains one of the most challenging tasks in cellular networks, and while heuristic methods exist, practical deep learning-based schedulers that a…
cs.IT2024
A Lossless Compression Technique for the Downlink Control Information Message
Bryan Liu, Alvaro Valcarce, K. Pavan Srinath
Improving the reliability and spectral efficiency of wireless systems is a key goal in wireless systems. However, most efforts have been devoted to improving data channel capacity,…