A5072916702- Advanced MIMO Systems Optimization
- Advanced Wireless Communication Techniques
- Cooperative Communication and Network Coding
- Wireless Communication Networks Research
- Advanced Wireless Communication Technologies
- Error Correcting Code Techniques
- Advanced Wireless Network Optimization
- Millimeter-Wave Propagation and Modeling
- Full-Duplex Wireless Communications
- Energy Harvesting in Wireless Networks
- Antenna Design and Analysis
- Caching and Content Delivery
- DNA and Biological Computing
- PAPR reduction in OFDM
- Microwave Engineering and Waveguides
- Wireless Communication Security Techniques
- Satellite Communication Systems
- Antenna Design and Optimization
- Indoor and Outdoor Localization Technologies
- Advanced biosensing and bioanalysis techniques
- Radio Frequency Integrated Circuit Design
- Coding theory and cryptography
- Telecommunications and Broadcasting Technologies
- Wireless Networks and Protocols
- Opportunistic and Delay-Tolerant Networks
Southeast University
2016-2025
Purple Mountain Laboratories
2019-2025
Chang'an University
2025
Peng Cheng Laboratory
2022-2024
Wuhan University of Science and Technology
2024
State Key Laboratory of Millimeter Waves
2007-2024
Sun Yat-sen University
2011-2024
Shenzhen Institute of Information Technology
2024
Harbin Institute of Technology
2024
University of Oulu
2023
The fourth generation wireless communication systems have been deployed or are soon to be in many countries. However, with an explosion of mobile devices and services, there still some challenges that cannot accommodated even by 4G, such as the spectrum crisis high energy consumption. Wireless system designers facing continuously increasing demand for data rates mobility required new applications therefore started research on fifth expected beyond 2020. In this article, we propose a...
Abstract The fifth generation (5G) wireless communication networks are being deployed worldwide from 2020 and more capabilities in the process of standardized, such as mass connectivity, ultra-reliability, guaranteed low latency. However, 5G will not meet all requirements future 2030 beyond, sixth (6G) expected to provide global coverage, enhanced spectral/energy/cost efficiency, better intelligence level security, etc. To these requirements, 6G rely on new enabling technologies, i.e., air...
Reconfigurable intelligent surfaces (RISs) or reflecting (IRSs) are regarded as one of the most promising and revolutionizing techniques for enhancing spectrum and/ energy efficiency wireless systems. These devices capable reconfiguring propagation environment by carefully tuning phase shifts a large number low-cost passive elements. In this article, we aim to answer four fundmental questions: 1) Why do need RISs? 2) What is an RIS? 3) RIS's applications? 4) relevant challenges future...
Fifth generation (5G) mobile communication systems have entered the stage of commercial deployment, providing users with new services, improved user experiences as well a host novel opportunities to various industries. However, 5G still faces many challenges. To address these challenges, international industrial, academic, and standards organizations commenced research on sixth (6G) wireless systems. A series white papers survey been published, which aim define 6G in terms requirements,...
In this article, we present our vision of the application scenarios, performance metrics, and potential key technologies 6G wireless communication networks. We then comprehensively survey channel measurements, characteristics, models for all frequency bands focusing on millimeter-wave (mm-wave), terahertz, optical channels under spectra; satellite, unmanned aerial vehicle (UAV), maritime, underwater acoustic global coverage scenarios; high-speed train (HST), vehicle-to-vehicle (V2V),...
A novel unified framework of geometry-based stochastic models for the fifth generation (5G) wireless communication systems is proposed in this paper. The general 5G channel model aims at capturing small-scale fading characteristics key scenarios, such as massive multiple-input multiple-output, high-speed train, vehicle-to-vehicle, and millimeter wave communications. It a 3-D non-stationary based on WINNER II Saleh-Valenzuela considering array-time cluster evolution. Moreover, it can easily...
Non-orthogonal multiple access (NOMA) enables power-domain multiplexing via successive interference cancellation (SIC) and has been viewed as a promising technology for 5G communication. The full benefit of NOMA depends on resource allocation, including power allocation channel assignment, all users, which, however, leads to mixed integer programs. In the literature, optimal only found in some special cases, while joint optimization assignment generally requires exhaustive search. this...
In this paper, joint resource allocation and power control for energy-efficient device-to-device (D2D) communications underlaying cellular networks are investigated. The optimized maximization of the energy efficiency (EE) D2D communications. Exploiting properties fractional programming, we transform original nonconvex optimization problem in form into an equivalent subtractive form. Then, efficient iterative scheme is proposed. each iteration, part constraints EE removed by exploiting...
LPWAN is a type of wireless telecommunication network designed to allow long range communications with relaxed requirements on data rate and latency between the core high-volume battery-operated devices. This article first reviews leading technologies both unlicensed spectrum (SIGFOX, LoRa) licensed (LTE-M NB-IoT). Although these differ in many aspects, they do have one thing common: all utilize narrow-band transmission mechanism as leverage achieve three fundamental goals, that is, high...
In this paper, the edge caching problem in fog radio access network (F-RAN) is investigated. By maximizing overall cache hit rate, optimization formulated to find optimal policy. Content popularity terms of time and space considered from perspective regional users. We propose an online content prediction algorithm by leveraging features user preferences, offline preference learning using gradient descent (OGD) method follow (proximally) regularized leader (FTRL-Proximal) method. Our proposed...
In this paper, a novel three-dimensional (3D) non-stationary geometry-based stochastic model (GBSM) for the fifth generation (5G) and beyond 5G (B5G) systems is proposed. The proposed B5G channel (B5GCM) designed to capture various characteristics in (B)5G such as space-time-frequency (STF) non-stationarity, spherical wavefront (SWF), high delay resolution, time-variant velocities directions of motion transmitter, receiver, scatterers, spatial consistency, etc. By combining different...
Unmanned aerial vehicle (UAV) and intelligent reflecting surface (IRS) are anticipated to be widely applied for improving the spectrum energy efficiency in forthcoming wireless communication systems. To take full advantages of IRS-assisted UAV system, both beamforming UAV's trajectory should optimally designed. In this paper, we consider a challenging scenario where there one several IRSs. For IRSs-assisted formulate problem as maximizing received power at ground user by jointly optimizing...
Broader applications of the Internet Things (loT) are expected in forthcoming 6G system, although massive loT is already a key scenario 5G, predominantly relying on physical layer solutions inherited from 4G LTE and primarily using orthogonal multiple access (OMA). In loT, supporting number connections will be required for diverse services vertical sectors, prompting fundamental studies how to improve spectral efficiency system. One enabling technologies non-or-thogonal (NOMA). This article...
In this paper, a pervasive wireless channel modeling theory is first proposed, which uses unified method and equation of impulse response (CIR), can integrate important characteristics at different frequency bands scenarios. Then, we apply the proposed to three dimensional (3D) space-time-frequency (STF) non-stationary geometry-based stochastic model (GBSM) for sixth generation (6G) communication systems. The 6G (6GPCM) characterize statistical properties channels all from sub-6 GHz visible...
Internet-of-Everything (IoE) has gradually been recognized as an integral part of future wireless networks. In IoE, there can be ultra-massive number smart devices various types to served, imposing multi-dimensional requirements on communication, sensing, and security. this article, we provide a tutorial overview the promising intelligent reflection communication (IRC) technologies, including reconfigurable surface (RIS) ambient backscatter (AmBC), support IoE applications beyond...
Beamforming design has been widely investigated for integrated sensing and communication (ISAC) systems with full-duplex (FD) half-duplex (HD) communication, where the base station (BS) transmits receives radar signals simultaneously while operates in either downlink or uplink. To achieve higher spectral efficiency, this paper, we extend existing ISAC beamforming to a general case by considering FD capability both communication. Specifically, consider an system, BS performs target detection...
Extremely large-scale multiple-input multiple-output (XL-MIMO) is a promising technology for the sixth-generation (6G) mobile communication networks. By significantly boosting antenna number or size to at least an order of magnitude beyond current massive MIMO systems, XL-MIMO expected unprecedentedly enhance spectral efficiency and spatial resolution wireless communication. The evolution from not simply increase in array size, but faces new design challenges, terms near-field channel...
Semantic communication (SC) is an emerging intelligent paradigm, offering solutions for various future applications like metaverse, mixed reality, and the Internet of everything. However, in current SC systems, construction knowledge base (KB) faces several issues, including limited representation, frequent updates, insecure sharing. Fortunately, development large AI model (LAM) provides new to overcome above issues. Here, we propose a LAM-based framework (LAM-SC) specifically designed image...
Cooperative distributed antenna systems have drawn considerable attention in recent years due to their potential enhance both the coverage and spectral efficiency of mobile communication systems. In this article conceptual description a cooperative DAS for communications is presented together with key techniques DASs, including multiple- input multiple-output single multiple users, handover, transmit power allocation. Furthermore, theoretical simulation results on or DASs are given compared...
Energy efficiency(EE) has caught more and attention in future wireless communications due to steadily rising energy costs environmental concerns. In this paper, we propose an EE scheme with proportional fairness for the downlink multiuser distributed antenna systems (DAS). Our aim is maximize EE, subject constraints on overall transmit power of each remote access unit (RAU), bit-error rate (BER), data rates. We exploit multi-criteria optimization method systematically investigate...
In this paper, a novel unified channel model framework is proposed for cooperative multiple-input multiple-output (MIMO) wireless channels. The generic and adaptable to multiple MIMO scenarios by simply adjusting key parameters. Based on the using typical communication environment as an example, we derive geometry-based stochastic (GBSM) applicable propagation scenarios. GBSM first that has ability investigate impact of local scattering density (LSD) characteristics. From derived GBSM,...
Distributed multi-input multi-output (D-MIMO) system is a promising to greatly improve the spectral efficiency and power of cellular system. The performance analysis D-MIMO fundamental problem for both theoretical study technique evaluation. In this paper, performances traditional collocated MIMO (C-MIMO) are studied compared. First, composite channel including path loss, shadow fading multipath given. Conditioned on desired user position, by using tight bounds central limit theory,...
Deep learning recently shows strong competitiveness to improve polar code decoding. However, suffering from prohibitive training and computation complexity, the conventional deep neural network (DNN) is only possible for very short length. In this paper, main problems of in decoding are well solved. We first present multiple scaled belief propagation (BP) algorithm, aiming at obtaining faster convergence better performance. Based on this, decoder (NND) with low complexity latency, proposed...