5 citations · 5 across the 5 of their papers we have counts for
5 papers
AI-Native 6G for Distributed Intelligence: Traffic Characteristics, Awareness, and AI Grid
Lopamudra Kundu, Xingqin Lin, Shuvo Chowdhury +1
The sixth-generation (6G) of mobile networks will be shaped not only by artificial intelligence (AI)-enabled network automation and optimization, but also by the need to serve AI a…
Toward AI-Native 6G Air Interface: A 3GPP Perspective on Protocol Framework
Xingqin Lin
Artificial intelligence (AI) is expected to play an important role in the sixth-generation (6G) air interface design, but making the air interface truly AI-native requires more tha…
AI-RAN: Transforming RAN with AI-driven Computing Infrastructure
Lopamudra Kundu, Xingqin Lin, Rajesh Gadiyar +2
The radio access network (RAN) landscape is undergoing a transformative shift from traditional, communication-centric infrastructures towards converged compute-communication platfo…
A Primer on Generative AI for Telecom: From Theory to Practice
Xingqin Lin, Lopamudra Kundu, Chris Dick +4
The rise of generative artificial intelligence (GenAI) is transforming the telecom industry. GenAI models, particularly large language models (LLMs), have emerged as powerful tools…
Towards Energy Efficient RAN: From Industry Standards to Trending Practice
Lopamudra Kundu, Xingqin Lin, Rajesh Gadiyar
As 5G deployments continue throughout the world, concerns regarding its energy consumption have gained significant traction. This article focuses on radio access networks (RANs) wh…