Author details
Author's Published Works
Scheduled Maintenance on Monday 1/13/2025
Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.
Author details
Showing 1-9 of 9 results
- Sort
Filter Results
Show
Sort By
Results
A Geometry-Based Stochastic Channel Model for UAV-to-Ground Integrated Sensing and Communication Scenarios
Xiaobo Yang;Daosen Zhai;Ruonan Zhang;Lei Liu;Jun Du;Victor C. M. Leung
IEEE Transactions on Vehicular Technology
Year: 2024 | Early Access Article |
Integrated sensing and communication (ISAC) is one of the key technologies in the sixth generation wireless communication network (6G). The wireless channel modeling for 6G should not only consider the communication channel, but also include the sensing channel. In this paper, we propose an air-to-ground (A2G) channel model for ISAC based on an unmanned aerial vehicle (UAV). We first calculate the...Show More
Constellation Design for Integrated Sensing and Communication With Random Waveforms
Xiaobo Yang;Ruonan Zhang;Daosen Zhai;Fan Liu;Rui Du;Tony Xiao Han
Integrated sensing and communication (ISAC) is considered one of the key technologies for next-generation wireless communication. To achieve satisfactory communication and sensing performance simultaneously, it is necessary to maximize compatibility with the existing communication waveform. In this paper, we mainly investigate the ISAC constellation design based on communication waveforms (random ...Show More
Impact of Modulation Schemes on Joint Estimation of Range and Velocity for UAV-to-Ground Scenarios
Xiaobo Yang;Daosen Zhai;Ruonan Zhang;Shengchen Wu;Yiyang Ni;Mubarak Alrashoud
ICC 2024 - IEEE International Conference on Communications
Year: 2024 | Conference Paper |
The emergence of new application scenarios has enabled integrated sensing and communication (ISAC) as one of the potential technologies of 6-th generation mobile communication (6G). To meet both communication efficiency and sensing efficiency, a satisfactory ISAC waveform is essential. In this paper, we primarily investigate the impact of different modulation schemes on sensing performance for UAV...Show More
Temporal Correlation Characteristics of Air-to-Ground Wireless Channel With UAV Wobble
Xiaobo Yang;Daosen Zhai;Ruonan Zhang;Lei Liu;F. Richard Yu;Victor C. M. Leung
Air-to-ground (A2G) communication based on Unmanned aerial vehicle (UAV) is an important part of the future communication system. In this paper, an A2G channel model with UAV three-dimensional (3D) wobbles (pitch, roll, and yaw) based on the geometry-based stochastic model (GBSM) is proposed. On this basis, the UAV’s internal vibration is modeled as a sinusoidal random process, and the UAV wobble ...Show More
Pathloss and Airframe Shadowing Loss of Air-to-Ground UAV Channel in the Airport Area at UHF- and L-Band
Congle Ge;Daosen Zhai;Yi Jiang;Ruonan Zhang;Xiaobo Yang;Bin Li;Xiao Tang
In air-to-ground unmanned aerial vehicle (UAV) communications, an accurate channel propagation model is very important for the evaluation and design of communication systems. For this purpose, we have conducted several channel measurement campaigns in the airport area at UHF- and L-band (around 433 MHz and 1.518 GHz). In the line-of-sight (LoS) case, we give the distance-dependent pathloss models ...Show More
Impact of UAV 3D Wobbles on the Non-Stationary Air-to-Ground Channels at Sub-6 GHz Bands
Xiaobo Yang;Daosen Zhai;Ruonan Zhang;Haotong Cao;Sahil Garg;Georges Kaddoum
GLOBECOM 2022 - 2022 IEEE Global Communications Conference
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Wireless communication based on Unmanned aerial vehicle (UAV) is one of the important technologies in the future communication system. It is necessary to establish an accurate air-to-ground (A2G) wireless channel model. In this paper, a A2G channel model with UAV three-dimensional (3D) wobbles (pitch, roll, and yaw) is proposed. The internal vibration of the UAV is modeled as a sinusoidal random p...Show More
Joint Relay Selection and Flight Path Optimization for UAV-Assisted Vehicular Delay Tolerant Networks
Yixin He;Huakui Sun;Xiaobo Yang;Dawei Wang;Ruonan Zhang;Qian Xu
2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)
Year: 2022 | Conference Paper |
This paper introduces the application of the unmanned aerial vehicles (UAV) into vehicular delay tolerant networks (VDTNs). In UAV-assisted VDTNs, vehicles adopt the storage-carry-forward mechanism to transmit data, and UAVs can be utilized as mobile relays. For the considered network, we investigate the data transmission problem by jointly considering the relay selection and flight path optimizat...Show More
Automatic Modulation Mode Recognition of Communication Signals Based on Complex-Valued Neural Network
2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)
Year: 2022 | Conference Paper |
Cited by: Papers (3)
Intelligent transportation systems (ITS) are designed to provide efficient and comfortable transportation. The development of ITS has brought new communication challenges, which require faster and more reliable transmission of information. In this paper, we investigate the modulation mode recognition method of communication signals based on a complex-valued neural network (CVNN). By combining a co...Show More
Ray-Tracing Simulation and Verification of Full-Duplex Self-Interference Channels in an Urban Scenario
Compared with the half-duplex (HD), co-time co-frequency full-duplex (CCFD) technology can effectively improve spectrum utilization. Self-interference (SI) is one of the major factors limiting full-duplex (FD) performance. In this letter, we build the same scattering environment as the field measurement campaign, and simulate the FDSI and the conventional base station-to-base station (B2B) channel...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.