activity
20162024
most citedOverview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities

198 citations · 207 across the 9 of their papers we have counts for

collaborators

9 papers

cs.NI2024★ 198 cited

Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities

Qimei Cui, Xiaohu You, Ni Wei +22

With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks ha…

cs.CR2024

Semantic Entropy Can Simultaneously Benefit Transmission Efficiency and Channel Security of Wireless Semantic Communications

Yankai Rong, Guoshun Nan, Minwei Zhang +9

Recently proliferated deep learning-based semantic communications (DLSC) focus on how transmitted symbols efficiently convey a desired meaning to the destination. However, the sens…

eess.SP2023★ 2 cited

Physical-layer Adversarial Robustness for Deep Learning-based Semantic Communications

Guoshun Nan, Zhichun Li, Jinli Zhai +7

End-to-end semantic communications (ESC) rely on deep neural networks (DNN) to boost communication efficiency by only transmitting the semantics of data, showing great potential fo…

cs.CR2023

Securing Semantic Communications with Physical-layer Semantic Encryption and Obfuscation

Qi Qin, Yankai Rong, Guoshun Nan +4

Deep learning based semantic communication(DLSC) systems have shown great potential of making wireless networks significantly more efficient by only transmitting the semantics of t…

cs.NI2019

Event-triggered Online Proactive Network Association to Mobile Edge Computing for IoT

Jian Zhang, Qimei Cui, Xuefei Zhang +2

Ultra-low latency communication for mobile machines emerges as a critical technology in Internet of Things (IoT). Proactive network association has been suggested to support ultra-…

cs.IT2018★ 2 cited

Distributed Layered Grant-Free Non-Orthogonal Multiple Access for Massive MTC

Hui Jiang, Qimei Cui, Yu Gu +3

Grant-free transmission is considered as a promising technology to support sporadic data transmission in massive machine-type communications (mMTC). Due to the distributed manner,…

eess.SP2018★ 1 cited

User Association for Offloading in Heterogeneous Network Based on Matern Cluster Process

Yuxuan Xie, Xuefei Zhang, Qimei Cui +1

Future mobile networks are converging toward heterogeneous multi-tier networks, where various classes of base stations (BS) are deployed based on user demand. So it is quite necess…

cs.IT2017

Preserving Reliability to Heterogeneous Ultra-Dense Distributed Networks in Unlicensed Spectrum

Qimei Cui, Yu Gu, Wei Ni +4

This article investigates the prominent dilemma between capacity and reliability in heterogeneous ultra-dense distributed networks, and advocates a new measure of effective capacit…

cs.NI2016★ 4 cited

Coverage Analysis of Heterogeneous Cellular Networks in Urban Areas

Bin Yang, Guoqiang Mao, Xiaohu Ge +3

In this article, a network model incorporating both line-of-sight (LOS) and non-line-of-sight (NLOS) transmissions is proposed to investigate impacts of blockages in urban areas on…