- Network Traffic and Congestion Control
- Advanced MIMO Systems Optimization
- UAV Applications and Optimization
- Advanced Wireless Communication Technologies
- Indoor and Outdoor Localization Technologies
- Software-Defined Networks and 5G
- Wireless Networks and Protocols
- Millimeter-Wave Propagation and Modeling
- Evacuation and Crowd Dynamics
- Sparse and Compressive Sensing Techniques
- Electromagnetic Scattering and Analysis
- Stochastic Gradient Optimization Techniques
- Matrix Theory and Algorithms
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- RFID technology advancements
- Peer-to-Peer Network Technologies
- Educational Technology and Assessment
- Human Mobility and Location-Based Analysis
- Bluetooth and Wireless Communication Technologies
- Industrial Technology and Control Systems
- Advanced Decision-Making Techniques
- Inertial Sensor and Navigation
- Robotics and Sensor-Based Localization
- Advanced Wireless Network Optimization
Anhui Agricultural University
2023
Xiamen University
2014-2022
Tan Kah Kee Innovation Laboratory
2021
Northwestern Polytechnical University
2019-2020
Harbin Institute of Petroleum
2019
Xi'an University of Architecture and Technology
2014
Hebei University
2012
Purdue University West Lafayette
2000-2003
Intelligent reflecting surface (IRS) has been proposed as a potential solution to improve the performance of many aspects for future wireless communication. However, issue user's privacy in IRS assisted communications is often ignored previous works. In this paper, we propose an algorithm, namely optimal beam reflection based on federated learning (OBR-FL), achieve high speed communication with sparse channel state information (CSI). The corresponding configuration matrix can be determined...
In unmanned aerial vehicle (UAV)-assisted massive multi-input multi-output (MIMO) millimeter-wave (mmWave) networks, beam-steering guarantees reliable and steady connection between flying base stations ground users with the challenge of strict angular deviation. this paper, we investigate a joint optimization problem beamforming in multi-UAV mmWave considering line-of-sight (LoS) communication for UAVs. For hybrid MIMO mmWave, propose scheme based on cross-entropy estimation robustness...
Reconfigurable intelligent surface (RIS) has been proposed as a potential solution to improve the coverage and spectrum efficiency for future wireless communication. However, privacy of users' data is often ignored in previous works, such user's location information during channel estimation. In this paper, we propose privacy-preserving design paradigm combining federated learning (FL) with RIS mmWave communication system. Based on FL, local models are trained encrypted using private managed...
High concentrations of ammonia pose a potential threat to human and animal/plant health. Active detection methods such as semiconductor, electrochemical, optical have been used for detection. These increase energy consumption heat accumulation, which may affect the performance systems. Therefore, research on passive is great significance. In our study, wireless sensor based carbon nanotube-loaded Chipless Radio Frequency Identification (CRFID) was considered, advantages low cost, ability,...
Unmanned aerial vehicles (UAVs) can now be considered as base stations (BSs) to support ultra-reliable and low-latency communications by establishing line-of-sight (LoS) connections ground users. Moreover, combining UAVs with millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) will a promissing solution. It provide potentially high capacity wireless services due their positions ability deploy on demand at specific locations. In this paper, we propose low-cost...
Intelligent reflecting surface (IRS) can enhance the capacity and cost-effectiveness in future wireless networks substantially. However, configuration optimization of IRS an energy-efficient way is still a challenging work. In this paper, we propose solution to problem maximizing total throughput multiple IRSs assisted multi-user communication system. A federated deep learning (FDL) based algorithm designed obtain optimal reflection configurations all parallel, where model parameters are...
Hybrid precoding is an important issue in millimeter wave (mmWave) massive multi-input and multi-output (MIMO) system. Specially, energy-saving hybrid architectures efficient schemes provide ideas for solving this issue. In paper, we propose a precoding/combining architecture that low-cost easy to implement. Specifically, realized by the lens sub-arrays at base station (BS). Moreover, combining applies low-resolution analog-to-digital converters (ADCs) front end of radio frequency (RF)...
In unmanned aerial vehicle (UAV)-assisted mmWave networks, the beam-steering issue is a significant challenge to establish reliable and steady connection between flying base stations ground users. this paper, we investigate optimization problem of in multi-UAVs multi-antennas (MUMA) networks maximize system sum-rate by adjusting each angle departure. order solve problem, propose novel mean field game (MFG)-based massive multi-input multi-output (MIMO) control algorithm obtain optimal channel...
In this letter, a learning-aided resource allocation scheme based on the constrained Markov decision process (CMDP) is proposed to improve average network energy efficiency (EE) with quality of service (QoS) in pattern division multiple access (PDMA)-based simultaneous wireless information and power transfer (SWIPT) system. order solve formulated CMDP problem, Lagrange duality adopted transform into an unconstrained (MDP). Due instability practical system, Deep Q Network (DQN)-based obtain...
Architecting networks capable of providing scalable, efficient, and fair services to users with diverse QoS requirements is a challenging problem. The differentiated framework has advanced set building blocks comprised per-hop access point behaviors. We provide theoretical for reasoning about networks, constrained be implementable in IP networks. control incorporates assumptions, albeit weak, selfish user behavior service provider behavior. This necessitated by the essential role they play...
Four rotor aircraft has been extensively studied in recent years. Especially the small Four-rotor a very broad application prospects real life, many companies and scientific research institutions are studying. The technology involved includes flight dynamics, mechanical structure, navigation, automatic control, circuit design so on. By developing aircraft, we can not only learn variety of knowledge technology, but also broaden our horizons understand development current control system...
An underwater multiuser cooperative communication system based on minimum mean-square error decision feedback detection (MMSE-DFD) algorithm is proposed, where between two source nodes and one destination node assumed. In this paper, acoustic (UWA) channel modeled as a sparse multipath experiencing Rayleigh fading. Compared with the traditional communication, proposed able to increase throughput of system, when half-duplex mode Furthermore, computer simulations analyses show that through...
With the increasing deployment of wireless LANs that are connected to wired IP networks, it has become imperative consider end-to-end QoS solutions effectively function across their boundaries. This is even more pronounced for multimedia applications and QoS-sensitive transport traffic. They enabled by access bandwidth available with IEEE 802.11b 802.11a WLANs. Scalable control in networks a challenging problem on its own; mobility amplify problem. Our current work advances an integrated...
A new method based on information entropy theory and variable weight was used to evaluate urban expressway nodes in the present research. First of all, evaluation index system established basis influence factors. Secondly, constant state vectors were chosen according interplay Thirdly, by using vectors. Finally, model verified an example. The results showed that could better importance provide a for planning designing nodes.
Control system of In-wheel motor electric vehicles is core problem research in Auto industry, this paper proposes Artificial Immune Algorithm PID(Proportional Integral Derivative) control strategy based on the structure brushless DC hub motor, An controller will be designed, including hardware and software part.
A numeric method of solving nonlinear equation group is proposed. The problem equivalently changed to the function optimization, and then a solution obtained by adaptive genetic algorithm, considering it as initial Levenberg-Marquardt more accurate can be obtained, result, time efficiency improved.
The QLP decomposition is one of the effective algorithms to approximate singular value (SVD) in numerical linear algebra. In this paper, we propose some single-pass randomized for computing low-rank matrix approximation. Compared with deterministic decomposition, complexity proposed does not increase significantly and system needs be accessed only once. Therefore, our are very suitable a large stored outside memory or generated by stream data. error analysis, give bounds approximation error....
Providing scalable QoS-sensitive services to applications with varying degrees of elasticity using aggregate-flow scheduling is a challenging problem. Our previous work advanced theoretical framework where an optimal differentiated provisioning problem formulated and solved yield solutions for per-hop behavior(PHB) absolute QoS shaping end-to-end control. In this paper, we build on our achieve the following innovations. First, generalize mean square error criterion employed in measuring...