Article
Engineering, Aerospace
Lixin Li, Yan Sun, Qianqian Cheng, Dawei Wang, Wensheng Lin, Wei Chen
Summary: The joint downlink transmission power control and trajectory design problem in multi-type UABS communication network is investigated to satisfy the signal to interference plus noise power ratio of users. A non-cooperative Mean-Field-Type Game (MFTG) is proposed to model the joint optimization problem, and a Nash equilibrium solution is solved through clustering and the Mean-Field Q (MFQ) learning algorithm to effectively reduce energy consumption.
CHINESE JOURNAL OF AERONAUTICS
(2021)
Article
Environmental Sciences
Chuanyun Wang, Yang Su, Jingjing Wang, Tian Wang, Qian Gao
Summary: With the development of unmanned aerial vehicle (UAV) technology and swarm intelligence technology, the study focuses on the threat and challenge brought by UAV swarms to low-altitude airspace defense. A dataset named UAVSwarm is manually annotated for UAV swarm detection and tracking, which includes various scenes and types of UAVs. Advanced detection and multi-object tracking models are used for comprehensive testing and performance verification. The experimental results show the dataset's availability and usability for training and testing various UAV detection and swarm tracking tasks.
Article
Computer Science, Information Systems
Han-Ting Ye, Xin Kang, Jingon Joung, Ying-Chang Liang
Summary: This article investigates a full-duplex OFDMA-based multiple UAV-enabled wireless-powered IoT network, optimizing device charging, information collection, and communication time slots. Simulation results show that the proposed scheme achieves significant throughput gains compared with conventional schemes.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Jiequ Ji, Kun Zhu, Dusit Niyato, Ran Wang
Summary: With the exponential growth of data traffic, the use of caching and device-to-device (D2D) communication has been recognized as an effective approach for mitigating the backhaul bottleneck in unmanned aerial vehicle (UAV)-assisted networks. In this article, we investigate the issue of secure transmission in a cache-enabled UAV-relaying network with D2D communications in the presence of an eavesdropper. Extensive numerical results show that the proposed joint design scheme significantly outperforms other benchmark schemes in terms of the secrecy rate.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Civil
Shumaila Javaid, Nasir Saeed, Zakria Qadir, Hamza Fahim, Bin He, Houbing Song, Muhammad Bilal
Summary: The recent progress in UAV technology has greatly advanced their applications in military, civil, and commercial domains. However, challenges in high-speed communication, flexible control strategies, and efficient collaborative decision-making algorithms limit their autonomy, robustness, and reliability. This article provides a comprehensive review of collaborative communication in multi-UAV systems, discussing the characteristics of intelligent UAVs and their communication and control requirements. It also reviews various UAV collaboration tasks and presents use case scenarios to highlight the current developments of UAV-based applications.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Shubhani Aggarwal, Neeraj Kumar, Sudeep Tanwar
Summary: Unmanned aerial vehicles (UAV) play a crucial role in the development of smart cities, with research organizations exploring communication and security challenges in UAV networks and proposing solutions. Extensive surveys on 6G technology architecture and applications have been conducted, along with discussions on blockchain-based security solutions and future research directions.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Na Lin, Yuheng Liu, Liang Zhao, Dapeng Oliver Wu, Yifan Wang
Summary: In this paper, an adaptive UAV deployment scheme is proposed to solve the coverage problem of UAV-aided GNs communication in areas affected by natural disasters. The scheme optimizes the UAV's location, reduces communication energy consumption, and ensures coverage effectiveness through ground information collection. Extensive simulations demonstrate the superiority of the proposed scheme.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Leiyu Wang, Haixia Zhang, Shuaishuai Guo, Dongfeng Yuan
Summary: This article proposes an optimization method for unmanned-aerial-vehicles (UAVs)-enabled mobile-edge computing (MEC) networks to reduce communication and computation energy consumption. The method utilizes a virtual force field and coordinated flight control algorithm to deploy MEC servers and optimize user association and computational task offloading. Simulation results demonstrate significant improvement in energy efficiency.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Xingquan Li, Chiya Zhang, Rujun Zhao, Chunlong He, Hongxia Zheng, Kezhi Wang
Summary: This article proposes an algorithm to minimize the total power consumption of Internet of Things Devices (IoTDs) by optimizing user association, computational capacity, transmit power, and the location of unmanned aerial vehicles (UAVs). By solving four subproblems iteratively and introducing slack variables to handle feasibility-check problems, the algorithm effectively tackles the nonconvex problem. The simulation results confirm that the proposed algorithm can significantly reduce the total power consumption of IoTDs.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Haiyan Guo, Yulong Zou, Tonghua Wu, Fei Zhou
Summary: This paper investigates the placement problem of a UAV base station serving multiple ground users. The goal is to optimize the 3D location of the UAV to maximize the minimum average sum rate, considering both uplink and downlink transmissions. The problem is divided into horizontal coordinate and height optimization subproblems, and solutions are obtained using the CVX toolbox. Numerical results show the superiority of the proposed optimization scheme compared to other methods.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Wei Nie, Zhi-Chao Han, Yi Li, Wei He, Liang-Bo Xie, Xiao-Long Yang, Mu Zhou
Summary: The research proposes a UAV detection and positioning system based on multi-dimensional signal features, monitoring communication signals and CSI for UAV localization, and applying machine learning algorithms for UAV detection and positioning. Experimental results show high average detection rates and good positioning accuracy in the test environment when combining multiple features.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Minh Tri Nguyen, Long Bao Le
Summary: In this work, we study the joint optimization of multiple UAVs' trajectories, power allocation, user-UAV association, and user pairing for UAV-assisted wireless networks using NOMA for uplink communications. The goal is to minimize energy consumption while ensuring successful data transmission. We propose an iterative algorithm to solve the optimization problem, leveraging the BCD method and SCA method. Numerical results demonstrate the efficiency of our proposed algorithm.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Aerospace
Linxing Xu, Yang Li
Summary: This paper addresses the distributed formation tracking control problem of quadrotor unmanned aerial vehicles and proposes a control scheme based on adaptive backstepping technology to achieve formation flight and attitude stabilization.
Article
Computer Science, Information Systems
Hung Nguyen-Kha, Hieu Nguyen, Mai T. P. Le, Oh-Soon Shin
Summary: This study investigates the integration of intelligent reflecting surfaces (IRS) into unmanned aerial vehicles (UAV) platforms to optimize sixth-generation communications. The results show that, in a specific UAV-mounted system, maximizing the total rate can be achieved through the optimization of beamforming at the base station, phase shift at the IRS, and placement of the UAV.
Article
Multidisciplinary Sciences
Amy P. Bogolin, Drew R. Davis, Richard J. Kline, Abdullah F. Rahman
Summary: The study investigated the use of drones and high-resolution cameras to survey large freshwater turtle populations in arid riverine landscapes, demonstrating the great potential of drone-based surveys.
Article
Engineering, Electrical & Electronic
Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo, Lajos Hanzo
Summary: This paper proposes a low-complexity solution for the user and beam selection problem in beamspace millimeter-wave (mmWave) and terahertz (THz) massive MIMO. Unlike previous approaches, dirty paper coding (DPC) is introduced to address this problem. The properties of DPC sum rate in beamspace massive MIMO are revealed, showing its monotonic evolution with the number of users and beams selected. A set of algorithms with unique trade-offs is developed to simplify the joint user and beam selection problem, enabling simultaneous user and beam selection based on partial beamspace channels. The simulation results validate the effectiveness of the proposed design and analysis, demonstrating its superiority over prior solutions.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Ying Ju, Haoyu Wang, Yuchao Chen, Tong-Xing Zheng, Qingqi Pei, Jinhong Yuan, Naofal Al-Dhahir
Summary: In this paper, a deep reinforcement learning-based joint beam allocation and relay selection (JoBARS) scheme is proposed to mitigate blocking effects and optimize the total transmission rate in vehicular communication networks.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Qingya Lu, Shuangyang Li, Baoming Bai, Jinhong Yuan
Summary: In this paper, the reduced-complexity detection and code design issues in faster-than-Nyquist (FTN) signaling are jointly investigated. A scheme is proposed to increase the minimum squared Euclidean distance by employing repetition coding, at the cost of increased complexity. The concept of spatially-coupling from coding theory is adopted to reduce the rate loss, resulting in spatially-coupled faster-than-Nyquist (SC-FTN) signaling. These findings provide insights into the error-floor, decoding threshold, and complexity of detection and decoding in FTN systems.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
J. Andrew Zhang, Kai Wu, Xiaojing Huang, Y. Jay Guo
Summary: Beam alignment is a process to find the correct beamforming directions for receive and transmit antenna arrays. It is usually time-consuming due to beam scanning and peak-energy searching. In this correspondence, we propose a fast beam alignment method for analog arrays, which directly estimates the angle-of-arrival (AoA) of the incoming signals. We introduce simple and highly efficient AoA estimators by approximating the power of the array response as a Gaussian function. Simulation results validate the effectiveness of our proposed scheme.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Xu Chen, Zhiyong Feng, Zhiqing Wei, J. Andrew Zhang, Xin Yuan, Ping Zhang
Summary: This paper proposes a Concurrent Downlink and Uplink (CDU) JCAS system that can use the echo of transmitted dedicated signals for sensing in the uplink while performing reliable uplink communication. A novel successive interference cancellation-based CDU JCAS processing method is proposed to estimate uplink communication symbols and downlink sensing parameters. Extensive simulation results verify the feasibility of the CDU JCAS system, showing a performance improvement of more than 10 dB compared to traditional JCAS methods while maintaining reliable uplink communication.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Zesong Fei, Xinyi Wang, Nan Wu, Jingxuan Huang, J. Andrew Zhang
Summary: This article introduces the air-ground integrated sensing and communications (AG-ISAC) network, which consists of UAVs and ground terrestrial networks, and proposes special design techniques. The AG-ISAC framework and protocol are presented, followed by the discussion of four potential use cases and analysis on the characteristics and merits of AG-ISAC networks. The research on critical techniques for AG-ISAC is then discussed. Finally, the challenges and future research directions for AG-ISAC are presented to facilitate the advancement of the technology.
IEEE COMMUNICATIONS MAGAZINE
(2023)
Article
Computer Science, Information Systems
Yiyan Ma, Guoyu Ma, Ning Wang, Zhangdui Zhong, Jinhong Yuan, Bo Ai
Summary: This article proposes a grant-free orthogonal time-frequency space-based tandem spreading multiple access (OTFS-TSMA) scheme for machine-type communications (mMTC) in smart railways environmental sensing. By using differential Doppler shift, the proposed scheme achieves high resource efficiency and provides service continuity and controllable multiuser interference.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Telecommunications
Ziwei Liu, Wen Chen, Zhendong Li, Jinhong Yuan, Qingqing Wu, Kunlun Wang
Summary: In this study, a cognitive radio network (CRN) with a transmissive reconfigurable intelligent surface (TRIS) transmitter is investigated for downlink transmission. Time-modulated arrays (TMA) and rate splitting multiple access (RSMA) are implemented for low power consumption and high-rate multi-stream communication. The joint optimization algorithm based on difference-of-convex (DC) programming and successive convex approximation (SCA) is proposed to improve and balance the energy efficiency (EE) and spectral efficiency (SE) of the network.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Peng Liu, Zesong Fei, Xinyi Wang, J. Andrew Zhang, Zhong Zheng, Qin Zhang
Summary: In this paper, a secure multi-user uplink communication scheme is proposed to counter a mobile aerial eavesdropper (AE) in Integrated Sensing and Communication (ISAC) systems. The proposed scheme utilizes radar signals transmitted by the ISAC base station to track and jam the AE. By utilizing an extended Kalman filter technique, the motion state of the AE can be accurately predicted for tracking purposes. Furthermore, an optimization problem is formulated to jointly design the radar signal and receiver beamformer, ensuring improved secrecy performance. The proposed algorithm, which leverages alternating optimization, demonstrates higher secrecy capacity and better fairness compared to existing techniques.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Zhitong Ni, Andrew Jian Zhang, Ren-Ping Liu, Kai Yang
Summary: This paper investigates threshold-constrained joint waveform optimization for an integrated sensing and communication (ISAC) system by employing mutual information (MI) and sum rate (SR) as sensing and communication metrics. Three different optimization problems are formulated with constraints on radar performance, communication performance, and ISAC performance. New techniques are developed to solve these problems, and simulation results validate the proposed optimization solutions.
Article
Computer Science, Information Systems
Xinyi Wang, Zesong Fei, Qingqing Wu
Summary: In this article, the system sum-rate maximization problem in an integrated sensing and reconfigurable intelligent surface (RIS) backscatter communication system is investigated. The proposed design significantly improves the system sum rate and illustrates the tradeoff between the communication and sensing performance.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Jianzheng Li, Weijiang Wang, Rongkun Jiang, Xinyi Wang, Zesong Fei, Shihan Huang, Xiangnan Li
Summary: This article introduces a method of creating virtual Line-of-Sight channels in an IoT network using reconfigurable intelligent surfaces (RIS). It aims to maximize the sum-rate of communication systems by jointly optimizing the phase shift matrix of the RIS and transmit beamforming. A piecewise-deep reinforcement learning algorithm is proposed to solve the nonconvex problem, which avoids local optima and achieves faster convergence.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Qiang Sun, Hongwu Liu, Shen Yan, Theodoros A. Tsiftsis, Jinhong Yuan
Summary: In this letter, the joint optimization of transmit power allocation and receive/passive beamforming in a RIS-assisted uplink RSMA system is investigated. An AO algorithm is proposed to optimize the receive/passive beamforming and transmit power allocation. Simulation results demonstrate that the proposed AO algorithm achieves a higher achievable rate than existing benchmark schemes.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Telecommunications
Weijie Yuan, Zhiqing Wei, Jiamo Jiang, Shun Zhang, Jinhong Yuan, Pingzhi Fan
CHINA COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Boyu Ning, Zhongbao Tian, Weidong Mei, Zhi Chen, Chong Han, Shaoqian Li, Jinhong Yuan, Rui Zhang
Summary: This paper provides a review of beamforming technologies for terahertz ultra-massive multiple-input-multiple-output (UM-MIMO) systems. It presents the system model, channel parameters, and discusses the far-field and near-field assumptions in terahertz UM-MIMO. The beam training strategy in terahertz band is introduced, along with codebook design approaches. The paper also explores intelligent-reflecting-surface (IRS)-assisted joint beamforming and multi-user beamforming in terahertz UM-MIMO systems.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2023)
