3 papers
cs.IT2026
CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge
Zhiheng Guo, Zhaoyang Liu, Zihan Cen +5
The deployment of large-scale neural networks within the Open Radio Access Network (O-RAN) architecture is pivotal for enabling native edge intelligence. However, this paradigm fac…
cs.NI2026
Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
Xijun Wang, Zhaoyang Liu, Chenyuan Feng +3
As 6G evolves, the radio access network must transcend traditional automation to embrace agentic AI capable of perception, reasoning, and evolution. A fundamental cognitive gap per…
cs.NI2025
Timely and Energy-Efficient Information Delivery in Heterogeneous Correlated Random Access Networks
Anshan Yuan, Xinghua Sun, Yayu Gao +2
This paper characterizes and jointly optimizes Age of Information (AoI) and energy efficiency in heterogeneous correlated random access networks, where each sensor adopts a distinc…