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Positioning Error Compensation via Channel Knowledge Map for UAV Communication
IEEE Internet of Things Journal
Year: 2025 | Early Access Article |
When Unmanned Aerial Vehicles (UAVs) perform high-precision communication tasks, such as searching for users and providing emergency coverage, positioning errors between base stations and users make it challenging to deploy trajectory planning algorithms. To address these challenges caused by position errors, a framework was proposed to compensate it by Channel Knowledge Map (CKM), which stores ch...Show More
Positioning Error Compensation via Channel Knowledge Map for UAV Communication
Year: 2025 | Early Access Article |
A Novel Wireless Vehicle Velocity Measurement Method Based on Machine Learning
High-precision vehicle velocity measurement methods typically require additional context, such as the rough location of the target vehicle. In the Internet of Vehicles domain, it is possible to achieve real-time vehicle velocity measurement based on the characteristics of wireless communication signals without any extra context. In this letter, we first propose a velocity measurement algorithm uti...Show More
Satellite Transmission with Joint Source-Channel Coding Under Stochastic Processes
2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2024 | Conference Paper |
Joint source-channel coding(JSCC) is one of the AI-enabled transmission technologies that has its great potential to improve the transmission reliability. In this paper, the resource optimization problem of transmitting images via JSCC satellite communication characterized by stochastic processes is inves-tigated. An objective function that comprehensively considers both the image resolution and t...Show More
Energy-Efficient Wireless Communication With Irregular Reconfigurable Intelligent Surfaces
Irregular reconfigurable intelligent surfaces (IRIS) represents an advanced technology compared with traditional RIS, which can effectively enhance the energy efficiency (EE) performance of the system. This letter explores the problem of maximizing EE in a multiple-input single-output (MISO) network assisted by IRIS. To address the coupled optimization variables in this problem, we employ the bloc...Show More
Physical Layer Security for IRS-Assisted Cognitive Radio Networks
2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)
Year: 2023 | Conference Paper |
In this work, we consider a robust transmission design of Intelligent Reflecting Surface (IRS)-assisted secure Cognitive radio communication system base on imperfect channel state information(ICSI). We aim to minimize the transmit power under the constraint of the secure rate of the secondary user and the interference temperature of the primary user. To solve this problem, we use an alternate opti...Show More
Channel Estimation for IRS Aided MIMO System with Neural Network Solution
2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Intelligent Reflective Surface (IRS) is a promising technique for Beyond 5G and 6G wireless communications. IRS is comprised of plenty of passive reflecting elements that an external controller is able to control by software. To develop the great potential of IRS-aided wireless communication system, we should get a full understanding of Channel State Information (CSI). However, it’s an exceedingly...Show More
Double-RIS Aided Secure Wireless Communication System with Robust Design
2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)
Year: 2023 | Conference Paper |
As one of the key technologies in the sixth-generation (6G) wireless network, reconfigurable intelligent surfaces (RIS) have numerous applications in wireless communication. This study focuses on the RIS-assisted secure wireless communication system. Specifically, we deploy double-RIS in the system, which takes into account the hardware impairments of the transceivers. By jointly designing the tra...Show More
Deep Reinforcement Learning Based Trajectory Design and Resource Allocation for UAV-Assisted Communications
IEEE Communications Letters
Cited by: Papers (8)
In this letter, we investigate the Unmanned Aerial Vehicles (UAVs)-assisted communications in three dimensional (3-D) environment, where one UAV is deployed to serve multiple user equipments (UEs). The locations and quality of service (QoS) requirement of the UEs are varying and the flying time of the UAV is unknown which depends on the battery of the UAVs. To address the issue, a proximal policy ...Show More
Energy Optimization for IRS-Aided SWIPT Under Imperfect Cascaded Channels
In this paper, intelligent reflecting surface is deployed in simultaneous wireless information and power transfer (SWIPT) system to improve the energy harvesting performance. We investigate the robust beamforming design considering the impact of the imperfect cascaded channels. We maximize the minimum received energy among all energy receivers to ensure fairness, while guaranteeing the worst-case ...Show More
Robust Transmission Design for RIS-Aided Wireless Communication With Both Imperfect CSI and Transceiver Hardware Impairments
Hongxia Zheng;Cunhua Pan;Chiya Zhang;Xingquan Li;Chunlong He;Yatao Yang;Ming Dai
IEEE Internet of Things Journal
Cited by: Papers (12)
Reconfigurable intelligent surface (RIS) has recently been regarded as a potential technique to enhance the performance of wireless communication systems by creating additional communication links. However, it is almost impossible to get the perfect channel state information (CSI) from the base station (BS) to the Internet of Things Devices (IoTDs) and the RIS-related channels. Furthermore, residu...Show More
Resource Allocation in Underlay Network with User Diversity
2022 IEEE 22nd International Conference on Communication Technology (ICCT)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Device-to-Device (D2D) communication can enhance the spectrum utilization rate by multiplexing downlink resources in a 5G cellular network. However, it also introduces interference. We formulate an optimization problem with the objective of optimizing the transmission total rate of the celluar users (CUs) and D2D pairs while meeting the minimum necessary rate of cellular users and D2D pairs. We ap...Show More
RIS-Aided Multiple-Input Multiple-Output Wireless Communication System Considering Hardware Impairments
2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Year: 2022 | Conference Paper |
Reconfigurable intelligent surface (RIS) has become a crucial technology for the next generation wireless communication due to its good performance on low power consumption and high energy efficiency. In this paper, we investigate maximizing the sum of achievable data rates (SADR) of all the users by considering hardware impairments in the RIS-aided multiple-input multiple-output (MIMO) wireless c...Show More
Low-Overhead Beam Alignment for High-Speed UAV Communications
Linjie Zheng;Weizheng Zhang;Chiya Zhang;Jihong Zhang;Chunlong He
2022 IEEE/CIC International Conference on Communications in China (ICCC)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Owing to the merit of mobility and dynamic deployment, the unmanned aerial vehicle (UAV) can be widely used as aerial users, base stations (BS) or even relays for various tasks such as surveillance, aerial photography and remote sensing. Moreover, millimeter-wave (mmWave) communication with large spectrum resource can meet the vast demand of data transmission for various UAV application scenarios....Show More
UAV Millimeter-Wave Beam Training Based on Adaptive Sensing
Wenmin Lu;Weizheng Zhang;Chiya Zhang;Jihong Zhang;Chunlong He
2022 IEEE/CIC International Conference on Communications in China (ICCC)
Year: 2022 | Conference Paper |
Unmanned aerial vehicle (UAV) millimeter wave (mmWave) communication with narrow beam has faced challenge lead by UAV high speed mobility and jittering. In this paper, we design an adaptive sensing matrix for UAV beam training based on compressed sensing (CS) to overcome the misalignment problem, and propose a noise average measurement scheme to suppress the noise. First, we model AoA/AoD estimati...Show More
Energy-Effective Offloading Scheme in UAV-Assisted C-RAN System
Xingquan Li;Chiya Zhang;Rujun Zhao;Chunlong He;Hongxia Zheng;Kezhi Wang
IEEE Internet of Things Journal
Cited by: Papers (6)
In this article, we aim to minimize the total power of all the Internet of Things Devices (IoTDs) by jointly optimizing user association, computational capacity, transmit power, and the location of unmanned aerial vehicles (UAVs) in an UAV-assisted cloud radio access network (C-RAN). In order to solve this nonconvex problem, we propose an effective algorithm by solving four subproblems iteratively...Show More
Secrecy Rate Maximization for Intelligent Reflecting Surface-Assisted Device-to-Device Communications System
2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)
Year: 2021 | Conference Paper |
Cited by: Papers (5)
Intelligent reflecting surface (IRS) is a promising technology for its capability of enhancing the desired signals and suppressing the interference. In this paper, we introduce IRS into a device-to-device (D2D) underlaying cellular system and investigate its application on physical layer security. The secrecy rate is maximized by jointly designing the received beamforming vector, power allocation ...Show More
Energy-effective Offloading Scheme in UAV-assisted C-RAN System
2021 IEEE International Conference on Communications Workshops (ICC Workshops)
Year: 2021 | Conference Paper |
In this paper, we aim to minimize the total power of all the user equipments (UEs) by jointly optimizing user association, computation capacity, transmit power, and the location of UAVs in an unmanned aerial vehicles (UAVs) assisted cloud radio access network (C-RAN). In order to solve this non-convex problem, we use block coordinate descent (BCD) and successive convex approximation (SCA) to trans...Show More
UAV-Assisted Data Rate Maximization Under 3-D Channel Model
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
This paper investigates a UAV-enabled wireless downlink system, where a UAV-enabled base station flies above a group of Internet of things devices (IoTDs) and transmits data to them. In order to ensure the fairness among all IoTDs, we jointly optimize scheduling association and UAV trajectory to maximize the minimal throughput of all IoTDs under the 3dimensional (3-D) channel model. Meanwhile, to ...Show More
Power-Spectrum Trading for Full-Duplex D2D Communications in Cellular Networks
Daquan Feng;Xiaoli Huang;Wei Jiang;Yao Sun;Sa Xiao;Chunlong He;Fu-Chun Zheng
Device-to-device (D2D) communications allows two adjacent mobile terminals transmit signal directly without going through base stations, which has been considered as one of the key technologies for future mobile networks. As full-duplex (FD) communications can improve the performance (i.e., throughput, energy efficiency (EE)) of communications systems, it is commonly used in practical D2D communic...Show More
Sum-Rate Maximization in IRS-Assisted Wireless Power Communication Networks
Xingquan Li;Chiya Zhang;Chunlong He;Gaojie Chen;Jonathon A. Chambers
IEEE Internet of Things Journal
Cited by: Papers (35)
Wireless-powered communication networks (WPCNs) are a promising technology supporting resource-intensive devices in the Internet of Things (IoT). However, their transmission efficiency is very limited over long distances. The newly emerged intelligent reflecting surface (IRS) can effectively mitigate the propagation-induced impairment by controlling the phase shifts of passive reflection elements....Show More
Data Rate Maximization in UAV-Assisted C-RAN
This letter considers the transmission design in unmanned aerial vehicle (UAV) assisted cloud radio access network (C-RAN). We aim to maximize data rate of the system by optimizing user equipment (UE) association, UAV placement, UEs' and UAVs' transmit power. We take UAVs as flying radio remote heads (RRHs) to serve UEs on the ground and maximize the sum rate of all the UEs. In order to solve this...Show More
Energy Efficiency Optimization for Distributed Antenna Systems With D2D Communications Under Channel Uncertainty
Chunlong He;Chu Tian;Chiya Zhang;Daquan Feng;Cunhua Pan;Fu-Chun Zheng
In this paper, we investigate the energy efficiency (EE) maximization problem in distributed antenna systems (DAS) with underlaid device-to-device (D2D) communications. The EE optimization relies on the channel state information (CSI), and the interference from D2D pairs to the cellular user equipment (CUE) also closely depends on CSI. In this paper, we consider the case that the CSI in the system...Show More
A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor
Yong Ye;Chiya Zhang;Chunlong He;Xi Wang;Jianjun Huang;Jiahao Deng
Capacitive proximity sensors (CPSs) are ubiquitous because of their simple design, low cost and low consumption. Capacitive displacement sensing, as one of the three sensing modalities, works for long distance and can be unitized to measure more physical quantities compared with capacitive volume and deformation sensing. In this paper, we firstly introduce the concept of capacitive displacement se...Show More
In recent years, a lot of power allocation algorithms have been proposed to maximize spectral efficiency (SE) and energy efficiency (EE) for the distributed antenna systems (DAS). However, the traditional iterative power allocation algorithms are difficult to be implemented in reality because of their high computational complexity. With the development of machine learning algorithms, it has been p...Show More
Kalman-Filter-Based Integration of IMU and UWB for High-Accuracy Indoor Positioning and Navigation
Daquan Feng;Chunqi Wang;Chunlong He;Yuan Zhuang;Xiang-Gen Xia
IEEE Internet of Things Journal
Cited by: Papers (235)
The emerging Internet of Things (IoT) applications, such as smart manufacturing and smart home, lead to a huge demand on the provisioning of low-cost and high-accuracy positioning and navigation solutions. Inertial measurement unit (IMU) can provide an accurate inertial navigation solution in a short time but its positioning error increases fast with time due to the cumulative error of acceleromet...Show More
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