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Performance Analysis and Optimization Design of AAV-Assisted Vehicle Platooning in NOMA-Enhanced Internet of Vehicles
Yixin He;Fanghui Huang;Dawei Wang;Bin Chen;Tao Li;Ruonan Zhang
IEEE Transactions on Intelligent Transportation Systems
Year: 2025 | Early Access Article |
This paper investigates the integration of the non-orthogonal multiple access (NOMA) technique and autonomous aerial vehicles (AAVs) in Internet of Vehicles (IoV), aiming to provide flexible access and improve communication coverage for vehicle platooning. The goal is to accurately analyze performance and reasonably optimize network design for AAV-assisted vehicle platooning in NOMA-enhanced IoV. ...Show More
Outage Probability Analysis of MISO-NOMA Downlink Communications in UAV-Assisted Agri-IoT With SWIPT and TAS Enhancement
IEEE Transactions on Network Science and Engineering
Year: 2025 | Early Access Article |
In the agricultural Internet of Things (Agri-IoT), the uncrewed aerial vehicle (UAV) can serve as a mobile relay to facilitate line-of-sight transmissions for agricultural sensors, especially in farmlands with complex terrain or numerous obstructions. Additionally, the integration of techniques such as simultaneous wireless information and power transfer (SWIPT) and multiple-input single-output (M...Show More
Multi-UAV Two-Way Relaying: Joint Scheduling, Transmission Power, and Trajectory Optimization
IEEE Transactions on Vehicular Technology
Year: 2025 | Early Access Article |
In this correspondence, we present a proposal for a system that utilizes multiple unmanned aerial vehicles (UAVs) for two-way relaying. This system aims to enhance the information exchange among various pairs of ground users (GUs) while considering the interference between the UAVs and ground GUs. Our approach involves optimizing transmission scheduling parameters, transmission powers, and UAVs' t...Show More
Delay Minimization for NOMA-MEC Offloading in ABS-Aided Maritime Communication Networks
IEEE Transactions on Vehicular Technology
Year: 2025 | Early Access Article |
As maritime activities increase, the demand for high-speed, low-latency communications and efficient task processing in maritime communication networks (MCNets) intensifies. Currently, sea-surface communications and tasks mainly depend on on-shore base stations, which have limited coverage, and marine satellites, which offer broader reach but cannot provide high-speed connections and are costly. M...Show More
Wi-SSR: Wi-Fi-Based Lightweight High-Resolution Model for Human Activity Recognition
In recent years, human activity recognition (HAR) based on Wi-Fi channel state information (CSI) has received widespread attention due to its non-intrusive and privacy-preserving nature. However, many CSI activity recognition models based on traditional methods and deep learning face two major challenges: first, most studies rely on commercial Wi-Fi network cards, which usually have only three RF ...Show More
Energy-Efficient Federated Learning Through UAV Edge Under Location Uncertainties
Chen Wang;Xiao Tang;Daosen Zhai;Ruonan Zhang;Nurzhan Ussipov;Yan Zhang
Federated Learning (FL) and Mobile Edge Computing (MEC) technologies alleviate the burden of deploying artificial intelligence (AI) on wireless devices with low computational capabilities. However, they also introduce energy consumption challenges in FL model training and data processing. In this paper, we employ Unmanned Aerial Vehicles (UAVs) to collect data from wireless devices and carry edge ...Show More
Location-Free CSI-Based Lightweight Deeping Learning Model for Human Activity Recognition
2024 3rd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)
Year: 2024 | Conference Paper |
In recent years, activity recognition based on channel state information(Csi) has a wide range of application scenarios in the field of human-computer interaction(HCI) due to its advantages such as no need to carry special equipment, no privacy disclosure, and no light intensity. Many approaches based on traditional machine learning and deep learning have encountered two challenges. One is that th...Show More
Spectrum Sensing Under Unknown Channel Division
2024 3rd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)
Year: 2024 | Conference Paper |
In recent spectrum sensing technologies, deep learning methods are receiving increasing attention, mainly due to their ability to effectively improve sensing accuracy in low signal-to-noise ratio (SNR) environments. However, most of the existing deep learning technologies rely on known channel divisions for spectrum sensing, which is often difficult to achieve in real-world applications. To addres...Show More
Cellular Traffic Prediction Based on Spatiotemporal Graph Feature Fusion
Mengke Yang;Daosen Zhai;Ruonan Zhang;Bin Li;Pengfei Du;Haotong Cao
2024 3rd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)
Year: 2024 | Conference Paper |
With the rapid development of 4G and 5G networks, accurate BS traffic prediction has become a critical factor for efficient cellular network management. Traditional traffic prediction models, such as Long Short-Term Memory (LSTM) and (Convolutional Neural Network) CNN+Transformer, either neglect spatial information or fail to efficiently integrate temporal and spatial features, limiting their pred...Show More
Emergency Communications in Post-Disaster Scenarios: IoT-Enhanced Airship and Buffer Support
IEEE Internet of Things Journal
Year: 2024 | Early Access Article |
Ensuring reliable and secure emergency communications in post-disaster scenarios is challenging, particularly when mobile communication infrastructures are damaged. In response to challenges in post-disaster emergency communications (PDEComs), this paper proposes a cooperative relaying system (CRS) enhanced with Internet of Things (IoT) technology. The system features an airship equipped with buff...Show More
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
The large-scale deployment of 5G base stations has led to a significant increase in energy consumption. To enable green communication, we propose a graph-based aerial base stations (ABS)-assisted terrestrial base station (TBS) deep sleep scheme. In this scheme, TBSs in cells during low-traffic-demand periods turn off most of their communication devices and go to the sleep mode with less power cons...Show More
Ultra-low Altitude Channel Measurement in Riverside Environments at 1.4 GHz
2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)
Year: 2024 | Conference Paper |
To facilitate UAV-based wireless communications, a comprehensive understanding of the wireless channel characteristics is critical. However, most existing studies focuse on the high-altitude channel, while limited attention is paied to the ultra-low altitude channels given the evident difficulties in the measurement of the latter scenario. In this paper, we have tackled the challenges of lightweig...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
NOMA-Enhanced Cooperative Relaying Systems in Drone-Enabled IoV: Capacity Analysis and Height Optimization
Yixin He;Fanghui Huang;Dawei Wang;Ruonan Zhang;Xin Gu;Jianping Pan
Using the drone as a cooperative relay (CR) can improve the connectivity of Internet of Vehicles (IoV) on highways in remote areas. Meanwhile, considering limited spectrum resources, non-orthogonal multiple access (NOMA) is regarded as a promising approach for increasing spectrum efficiency and the channel capacity of IoV. Motivated by the above, this paper investigates the application of the coop...Show More
A 3-D Geometrical-Based Stochastic Model for Satellite-to-Ground MIMO Channels
Xinhua Liu;Ruonan Zhang;Daosen Zhai;Yi Jiang;Xiao Tang;Bin Li;Haotong Cao
2024 International Wireless Communications and Mobile Computing (IWCMC)
Year: 2024 | Conference Paper |
Studying the characteristics of the satellite-toground (S2G) channel model is essential for the development and assessment of satellite communication systems. In this study, we introduce a unique approach by combining a low-earth-orbit (LEO) random geometric satellite channel model with line-of-sight (LoS) and single-bounced (SB) non-line-of-sight (NLoS) components for the S2G multiple-input multi...Show More
Energy-Efficient Deployment and Resource Allocation for O-RAN-Enabled UAV-Assisted Communication
Huan Li;Xiao Tang;Daosen Zhai;Ruonan Zhang;Bin Li;Haotong Cao;Neeraj Kumar;Ahmad Almogren
Open Radio Access Network (O-RAN) has brought a significant transformation in the field of communication networks. Its openness propels communication networks towards a more open, flexible, and efficient direction. Meanwhile, Unmanned Aerial Vehicle (UAV) communication, as a key technology in the sixth generation mobile communication network, offers more flexible and efficient solutions to address...Show More
Clutter Loss Prediction Models for Satellite-Ground Communication Based on Neural Networks
Xinhua Liu;Yi Jiang;Ruonan Zhang;Bin Li;Daosen Zhai;Xiao Tang
2024 IEEE Wireless Communications and Networking Conference (WCNC)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Satellite communication is considered as one of the key technologies to achieve global seamless coverage and has attracted wide attention. It is crucial to establish an accurate clutter loss model for satellite-ground communication. Clutter loss refers to the extra path loss caused by the obstruction of the terrain and objects on the ground, especially when a satellite has low elevation angle. The...Show More
Distributionally Robust Over-the-Air Computation in Presence of Channel Uncertainties
Hongrui Zhang;Xiao Tang;Ruonan Zhang;Turlykozhayeva Dana;Nurzhan Ussipov;Zhu Han
2024 IEEE Wireless Communications and Networking Conference (WCNC)
Year: 2024 | Conference Paper |
Over-the-air computation (AirComp) emerges as a promising method to integrate computation and communication in 5G and beyond network architecture. Nevertheless, the performance of AirComp, measured by mean-square error (MSE), can be severely bottlenecked by the availability of channel information. In this paper, we investigate the AirComp design in presence of channel uncertainties. Particularly, ...Show More
Distributionally Robust Mining for Proof-of-Work Blockchain under Resource Uncertainties
Xunqiang Lan;Xiao Tang;Ruonan Zhang;Bin Li;Daosen Zhai;Wensheng Lin;Zhu Han
2024 IEEE Wireless Communications and Networking Conference (WCNC)
Year: 2024 | Conference Paper |
In blockchain systems characterized by computation competition, allocating computation resources is of paramount significance for the economic benefits of nodes. Besides, uncer-tainties of computation resources also affect the node's profits. In this paper, we address the computation resource allocation issue within a proof-of-work (PoW) blockchain system without exact information on the available...Show More
Latency Minimization for UAV-Assisted MEC Networks With Blockchain
Integrating the unmanned aerial vehicles (UAVs) assisted mobile edge computing (MEC) network with the blockchain technology emerges its superiority in the network utilization, differentiated service, and security, which has been regarded as a promising technique for time-critical applications. In this paper, we propose a UAV-assisted MEC network architecture and a comprehensive data processing flo...Show More
Joint Association, Trajectory, Offloading, and Resource Optimization in Air and Ground Cooperative MEC Systems
Chen Wang;Daosen Zhai;Ruonan Zhang;Lin Cai;Lei Liu;Mianxiong Dong
The air and ground cooperative mobile edge computing (MEC) network provides a new paradigm for the development of the Internet of Things (IoT), which enhances the coverage of the terrestrial base station (TBS) and deploys computing resources near IoT devices. In this paper, we construct a UAV-assisted MEC system for IoT networks and design a data processing procedure. The UAV collects data from de...Show More
LAPS-and-D2D Enabled Maritime Emergency Communications: Deployment Optimization and Resource Management
Yixin He;Dawei Wang;Fanghui Huang;Ruonan Zhang;Lingtong Min;Xin Li;Bin Chen
This paper investigates the application of low altitude platform station (LAPS) and device-to-device (D2D) techniques in maritime emergency communications. The hovering LAPS acts as an aerial base station to provide emergency telecommunications services, and the D2D technique is used to improve spectrum utilization. To make full use of the advantages of LAPS-and-D2D enabled networks, we formulate ...Show More
Joint Admission and Power Control for Massive Connections via Graph Neural Network
Mengke Yang;Daosen Zhai;Ruonan Zhang;Bin Li;Lin Cai;F. Richard Yu
The sixth-generation mobile communication system (6G) puts forward higher requirement for connection density, which is difficult to meet with the existing resource management schemes in real time. In this paper, we investigate the graph neural network (GNN) based algorithms for supporting the massive connectivity in 6G. Using the power intensity of the received signal or signal-to-interference-plu...Show More
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