67 citations · 150 across the 7 of their papers we have counts for
7 papers
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation
Liang Li, Chenpei Huang, Dian Shi +4
Federated learning (FL) enables mobile devices to collaboratively learn a shared prediction model while keeping data locally. However, there are two major research challenges to pr…
Robotic Communications for 5G and Beyond: Challenges and Research Opportunities
Yuanwei Liu, Xiao Liu, Xinyu Gao +4
The ongoing surge in applications of robotics brings both opportunities and challenges for the fifth-generation (5G) and beyond (B5G) of communication networks. This article focuse…
20 Years of Evolution from Cognitive to Intelligent Communications
Zhijin Qin, Xiangwei Zhou, Lin Zhang +3
It has been 20 years since the concept of cognitive radio (CR) was proposed, which is an efficient approach to provide more access opportunities to connect massive wireless devices…
Resource Allocation for Cooperative D2D-Enabled Wireless Caching Networks
Jiaqi Liu, Shengjie Guo, Sa Xiao +5
In this paper, we study the resource allocation problem for a cooperative device-to-device (D2D)-enabled wireless caching network, where each user randomly caches popular contents…
Intelligent Wireless Communications Enabled by Cognitive Radio and Machine Learning
Xiangwei Zhou, Mingxuan Sun, Geoffrey Ye Li +1
The ability to intelligently utilize resources to meet the need of growing diversity in services and user behavior marks the future of wireless communication systems. Intelligent w…
Robust Secure Transmission of Using Main-Lobe-Integration Based Leakage Beaforming in Directional Modulation MU-MIMO Systems
Feng Shu, Wei Zhu, Xiangwei Zhou +2
In the paper, we make an investigation of robust beamforming for secure directional modulation in the multi-user multiple-input and multiple output (MU-MIMO) systems in the presenc…
Energy Efficient Spectrum Sensing for State Estimation over A Wireless Channel
Xianghui Cao, Xiangwei Zhou, Yu Cheng
The performance of remote estimation over wireless channel is strongly affected by sensor data losses due to interference. Although the impact of interference can be alleviated by…