45 citations · 69 across the 7 of their papers we have counts for
4 papers · 1 filter
A Wireless World Model for AI-Native 6G Networks
Ziqi Chen, Yi Ren, Yixuan Huang +6
Integrating AI into the physical layer is a cornerstone of 6G networks. However, current data-driven approaches struggle to generalize across dynamic environments because they lack…
Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization
Nan Li, Qi Sun, Lehan Wang +6
Artificial Intelligence/Machine Learning (AI/ML) has become the most certain and prominent feature of 6G mobile networks. Unlike 5G, where AI/ML was not natively integrated but rat…
Deep Learning-based Intelligent Dual Connectivity for Mobility Management in Dense Network
Chujie Wang, Zhifeng Zhao, Qi Sun +1
Ultra-dense network deployment has been proposed as a key technique for achieving capacity goals in the fifth-generation (5G) mobile communication system. However, the deployment o…
Deep Reinforcement Learning for Resource Management in Network Slicing
Rongpeng Li, Zhifeng Zhao, Qi Sun +5
Network slicing is born as an emerging business to operators, by allowing them to sell the customized slices to various tenants at different prices. In order to provide better-perf…