activity
20142023
most citedArtificial Intelligence in 3GPP 5G-Advanced: A Survey

15 citations · 28 across the 8 of their papers we have counts for

collaborators

8 papers

cs.NI202312 cited

An Overview of the 3GPP Study on Artificial Intelligence for 5G New Radio

Xingqin Lin

Air interface is a fundamental component within any wireless communication system. In Release 18, the 3rd Generation Partnership Project (3GPP) delves into the possibilities of lev…

eess.SP2023

Hardware Acceleration for Open Radio Access Networks: A Contemporary Overview

Lopamudra Kundu, Xingqin Lin, Elena Agostini +1

Radio access networks (RAN) are going through a paradigm shift towards interoperable, intelligent, software-defined, and cloud-native open RAN solutions. A key challenge towards th…

cs.IT2023

Deep Reinforcement Learning for Interference Management in UAV-based 3D Networks: Potentials and Challenges

Mojtaba Vaezi, Xingqin Lin, Hongliang Zhang +2

Modern cellular networks are multi-cell and use universal frequency reuse to maximize spectral efficiency. This results in high inter-cell interference. This problem is growing as…

cs.NI202315 cited

Artificial Intelligence in 3GPP 5G-Advanced: A Survey

Xingqin Lin

Industries worldwide are being transformed by artificial intelligence (AI), and the telecom industry is no different. Standardization is critical for industry alignment to achieve…

cs.IT20231 cited

5G-Advanced Towards 6G: Past, Present, and Future

Wanshi Chen, Xingqin Lin, Juho Lee +4

Since the start of 5G work in 3GPP in early 2016, tremendous progress has been made in both standardization and commercial deployments. 3GPP is now entering the second phase of 5G…

cs.IT2016

Throughput Optimal Listen-Before-Talk for Cellular in Unlicensed Spectrum

Ning Wei, Xingqin Lin, Wanwan Li +2

The effort to extend cellular technologies to unlicensed spectrum has been gaining high momentum. Listen-before-talk (LBT) is enforced in the regions such as European Union and Jap…