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20112023
most citedAn Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

1.2k citations · 1.9k across the 31 of their papers we have counts for

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Showing 2023Show all

12 papers · 1 filter

cs.RO2023★ 29 cited

Capacity and Delay of Unmanned Aerial Vehicle Networks with Mobility

Zhiqing Wei, Zhiyong Feng, Haibo Zhou +2

Unmanned aerial vehicles (UAVs) are widely exploited in environment monitoring, search-and-rescue, etc. However, the mobility and short flight duration of UAVs bring challenges for…

cs.RO2023★ 13 cited

Spectrum Sharing between UAV-based Wireless Mesh Networks and Ground Networks

Zhiqing Wei, Zijun Guo, Zhiyong Feng +4

The unmanned aerial vehicle (UAV)-based wireless mesh networks can economically provide wireless services for the areas with disasters. However, the capacity of air-to-air communic…

cs.NI2023★ 14 cited

A Cyber-Physical Routing Protocol Exploiting Trajectory Dynamics for Mission-Oriented Flying Ad Hoc Networks

Die Hu, Shaoshi Yang, Min Gong +2

As a special type of mobile ad hoc network (MANET), the flying ad hoc network (FANET) has the potential to enable a variety of emerging applications in both civilian wireless commu…

cs.NI2023★ 109 cited

Topology-Aware Resilient Routing Protocol for FANETs: An Adaptive Q-Learning Approach

Yanpeng Cui, Qixun Zhang, Zhiyong Feng +3

Flying ad hoc networks (FANETs) play a crucial role in numerous military and civil applications since it shortens mission duration and enhances coverage significantly compared with…

eess.SP2023★ 19 cited

Toward Intelligent and Efficient 6G Networks: JCSC Enabled On-Purpose Machine Communications

Ping Zhang, Heng Yang, Zhiyong Feng +5

Driven by the vision of "intelligent connection of everything" toward 6G, the collective intelligence of networked machines can be fully exploited to improve system efficiency by s…

eess.SP2023★ 42 cited

Toward Trusted and Swift UAV Communication: ISAC-Enabled Dual Identity Mapping

Yanpeng Cui, Zhiyong Feng, Qixun Zhang +3

The UAV network has recently emerged as a capable carrier for ubiquitous wireless intelligent communication in the B5G/6G era. Nevertheless, the separation of dual identity raises…

eess.SP2023★ 2 cited

Specific Beamforming for Multi-UAV Networks: A Dual Identity-based ISAC Approach

Yanpeng Cui, Qixun Zhang, Zhiyong Feng +4

Beam alignment is essential to compensate for the high path loss in the millimeter-wave (mmWave) Unmanned Aerial Vehicle (UAV) network. The integrated sensing and communication (IS…

cs.IT2023

Complex CNN CSI Enhancer for Integrated Sensing and Communications

Xu Chen, Zhiyong Feng, J. Andrew Zhang +4

In this paper, we propose a novel complex convolutional neural network (CNN) CSI enhancer for integrated sensing and communications (ISAC), which exploits the correlation between t…

cs.IT2023

Throughput of Hybrid UAV Networks with Scale-Free Topology

Zhiqing Wei, Ziyu Wang, Zeyang Meng +3

Unmanned Aerial Vehicles (UAVs) hold great potential to support a wide range of applications due to the high maneuverability and flexibility. Compared with single UAV, UAV swarm ca…

eess.SP2023

Iterative Signal Processing for Integrated Sensing and Communication Systems

Zhiqing Wei, Hanyang Qu, Wangjun Jiang +3

Integrated sensing and communication (ISAC), with sensing and communication sharing the same wireless resources and hardware, has the advantages of high spectrum efficiency and low…

cs.IT2023

Code-Division OFDM Joint Communication and Sensing System for 6G Machine-type Communication

Xu Chen, Zhiyong Feng, Zhiqing Wei +2

The joint communication and sensing (JCS) system can provide higher spectrum efficiency and load-saving for 6G machine-type communication (MTC) applications by merging necessary co…

cs.NI2023★ 2 cited

Joint Communication, Sensing and Computation enabled 6G Intelligent Machine System

Zhiyong Feng, Zhiqing Wei, Xu Chen +3

With the rapid development of the smart city, high-level autonomous driving, intelligent manufacturing, and etc., the stringent industrial-level requirements of the extremely low l…