172 citations · 268 across the 18 of their papers we have counts for
18 papers
Joint Channel Estimation and Dynamics-Aware Grouping for Time-Varying RIS-Assisted OTA Federated Learning
Ziqi Li, Shuangzhi Li, Uchechukwu Awada +1
Reconfigurable intelligent surface (RIS)-assisted over-the-air federated learning (OTA-FL) enables efficient distributed intelligence but suffers from time-varying channels, imperf…
Multi-objective Optimization of Space-Air-Ground Integrated Network Slicing Relying on a Pair of Central and Distributed Learning Algorithms
Guorong Zhou, Liqiang Zhao, Gan Zheng +3
As an attractive enabling technology for next-generation wireless communications, network slicing supports diverse customized services in the global space-air-ground integrated net…
Energy-efficient Time-modulated Beam-forming for Joint Communication-Radar Systems
Chengzhao Shan, Jiayan Zhang, Yongkui Ma +4
To alleviate the shortage of spectral resources as well as to reduce the weight, volume, and power consumption of wireless systems, joint communication-radar (JCR) systems have bec…
Adaptive Coding and Modulation Aided Mobile Relaying for Millimeter-Wave Flying Ad-Hoc Networks
Jiankang Zhang, Sheng Chen, Wei Koong Chai +1
The emerging drone swarms are capable of carrying out sophisticated tasks in support of demanding Internet-of-Things (IoT) applications by synergistically working together. However…
Multiple-Objective Packet Routing Optimization for Aeronautical ad-hoc Networks
Jiankang Zhang, Dong Liu, Sheng Chen +3
Providing Internet service above the clouds is of ever-increasing interest and in this context aeronautical {\it{ad-hoc}} networking (AANET) constitutes a promising solution. Howev…
Low Earth Orbit Satellite Security and Reliability: Issues, Solutions, and the Road Ahead
Pingyue Yue, Jianping An, Jiankang Zhang +5
Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-increasing user demands, reduced costs, and technological progress. Since there is a paucity o…
Deep Reinforcement Learning Aided Packet-Routing For Aeronautical Ad-Hoc Networks Formed by Passenger Planes
Dong Liu, Jingjing Cui, Jiankang Zhang +2
Data packet routing in aeronautical ad-hoc networks (AANETs) is challenging due to their high-dynamic topology. In this paper, we invoke deep reinforcement learning for routing in…
Deep Learning Aided Packet Routing in Aeronautical Ad-Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multi-Objective Optimization
Dong Liu, Jiankang Zhang, Jingjing Cui +3
Data packet routing in aeronautical ad-hoc networks (AANETs) is challenging due to their high-dynamic topology. In this paper, we invoke deep learning (DL) to assist routing in AAN…
Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping Data
Dong Liu, Jiankang Zhang, Jingjing Cui +3
Current maritime communications mainly rely on satellites having meager transmission resources, hence suffering from poorer performance than modern terrestrial wireless networks. W…
Physical Layer Security of Intelligent Reflective Surface Aided NOMA Networks
Zhiqing Tang, Tianwei Hou, Yuanwei Liu +2
Intelligent reflective surface (IRS) technology is emerging as a promising performance enhancement technique for next-generation wireless networks. Hence, we investigate the physic…
Minimum-Delay Routing for Integrated Aeronautical Ad Hoc Networks Relying on Passenger-Planes in the North-Atlantic Region
Jingjing Cui, Dong Liu, Jiankang Zhang +3
Relying on multi-hop communication techniques, aeronautical ad hoc networks (AANETs) seamlessly integrate ground base stations (BSs) and satellites into aircraft communications for…
Secure Millimeter Wave Cloud Radio Access Networks Relying on Microwave Multicast Fronthaul
Wanming Hao, Gangcan Sun, Jiankang Zhang +2
In this paper, we investigate the downlink secure beamforming (BF) design problem of cloud radio access networks (C-RANs) relying on multicast fronthaul, where millimeter-wave and…
Energy Efficient Transmission Based on Grouped Spatial Modulation for upstream DSL Systems
Jiankang Zhang, Chao Xu, Tong Bai +2
The digital Subscriber Line (DSL) remains an important component of heterogeneous networking, especially in historic city-centers, where using optical fibre is less realistic. Rece…
Aeronautical Ad Hoc Networking for the Internet-Above-The-Clouds
Jiankang Zhang, Taihai Chen, Shida Zhong +5
The engineering vision of relying on the ``smart sky" for supporting air traffic and the ``Internet above the clouds" for in-flight entertainment has become imperative for the futu…
Boosting Fronthaul Capacity: Global Optimization of Power Sharing for Centralized Radio Access Network
Jiankang Zhang, Sheng Chen, Xinying Guo +2
The limited fronthaul capacity imposes a challenge on the uplink of centralized radio access network (C-RAN). We propose to boost the fronthaul capacity of massive multiple-input m…
Regularized Zero-Forcing Precoding Aided Adaptive Coding and Modulation for Large-Scale Antenna Array Based Air-to-Air Communications
Jiankang Zhang, Sheng Chen, Robert G. Maunder +2
We propose a regularized zero-forcing transmit precoding (RZF-TPC) aided and distance-based adaptive coding and modulation (ACM) scheme to support aeronautical communication applic…
Differential Evolution Algorithm Aided Turbo Channel Estimation and Multi-User Detection for G.Fast Systems in the Presence of FEXT
Jiankang Zhang, Sheng Chen, Rong Zhang +2
The ever-increasing demand for broadband Internet access has motivated the further development of the digital subscriber line to the G.fast standard in order to expand its operatio…
Adaptive Coding and Modulation for Large-Scale Antenna Array Based Aeronautical Communications in the Presence of Co-channel Interference
Jiankang Zhang, Sheng Chen, Robert G. Maunder +2
In order to meet the demands of `Internet above the clouds', we propose a multiple-antenna aided adaptive coding and modulation (ACM) for aeronautical communications. The proposed…