- Advanced MIMO Systems Optimization
- Satellite Communication Systems
- Cooperative Communication and Network Coding
- UAV Applications and Optimization
- Advanced Wireless Communication Technologies
- Mobile Ad Hoc Networks
- Advanced Wireless Network Optimization
- Energy Efficient Wireless Sensor Networks
- Wireless Communication Security Techniques
- Wireless Communication Networks Research
- Energy Harvesting in Wireless Networks
- Opportunistic and Delay-Tolerant Networks
- Advanced Wireless Communication Techniques
- IoT Networks and Protocols
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Underwater Vehicles and Communication Systems
- Software-Defined Networks and 5G
- Wireless Networks and Protocols
- Full-Duplex Wireless Communications
- Internet Traffic Analysis and Secure E-voting
- Millimeter-Wave Propagation and Modeling
- Indoor and Outdoor Localization Technologies
- Advanced Queuing Theory Analysis
- Structural Health Monitoring Techniques
Tsinghua University
2016-2025
Beijing Information Science & Technology University
2025
Hangzhou Institute of Applied Acoustics
2022-2024
National Engineering Research Center for Information Technology in Agriculture
2020-2024
China Telecom (China)
2024
China Telecom
2024
State Nuclear Power Technology Company (China)
2024
State Grid Corporation of China (China)
2023-2024
Shenzhen Technology University
2024
Shenzhen University
2024
The congestion control mechanisms used in TCP have been the focus of numerous studies and undergone a number enhancements. However, even with these enhancements, connections still experience alarmingly high loss rates, especially during times congestion. To alleviate this problem, IETF is considering active queue management mechanisms, such as random early detection (RED), for deployment network. In paper, we first show that effectiveness RED depends, to large extent, on appropriate...
Unmanned aerial vehicles (UAVs) as base stations or relays are becoming increasingly important in communications. In this letter, the optimum placement of a relaying UAV for maximum reliability is studied. The total power loss, overall outage, and bit error rate derived measures. altitude investigated both static mobile UAVs. Numerical results show that different measures have slightly altitudes decode-and-forward better than amplify-and-forward.
With the rapid development of marine activities, there has been an increasing number Internet-of-Things (IoT) devices on ocean. This leads to a growing demand for high-speed and ultrareliable maritime communications. It reported that large performance loss is often inevitable if existing fourth-generation (4G), fifth-generation (5G), or satellite communication technologies are used directly Hence, conventional theories methods need be tailored this scenario match its unique characteristics,...
The unmanned aerial vehicle (UAV) is a promising enabler of the Internet Things (IoT) vision, due to its agile maneuverability. In this paper, we explore potential gain UAV-aided data collection in generalized IoT scenario. Particularly, composite channel model, including both large-scale and small-scale fading used depict typical propagation environments. Moreover, rigorous energy constraints are considered characterize devices as practically possible. A multiantenna UAV employed, which can...
Due to the agile maneuverability, unmanned aerial vehicles (UAVs) have shown great promise for on-demand communications. In practice, UAV-aided base stations are not separate. Instead, they rely on existing satellites/terrestrial systems spectrum sharing and efficient backhaul. this case, how coordinate satellites, UAVs terrestrial is still an open issue. paper, we deploy coverage enhancement of a hybrid satellite-terrestrial maritime communication network. Using typical composite channel...
The virtual multiple input output (MIMO) technique can dramatically improve the performance of a multi-cell distributed antenna system (DAS), thanks to its great potentials for inter-cell interference mitigation. One most challenging issues MIMO is acquisition channel state information at transmitter (CSIT), which usually leads an overwhelming amount overhead. In this work, we focus on case that only slowly-varying large-scale required transmitter, and explore gain be achieved by coordinated...
Current fifth generation (5G) cellular networks mainly focus on the terrestrial scenario. Due to difficulty of deploying communications infrastructure ocean, performance existing maritime communication (MCNs) is far behind 5G. This problem can be solved by using unmanned aerial vehicles (UAVs) as agile platforms enable on-demand coverage, a supplement marine satellites and shore-based based stations (TBSs). In this article, we study integration UAVs with MCNs, investigate potential gains...
This paper investigates a dual-unmanned aerial vehicle (UAV)-enabled secure communication system, in which, UAV moves around to send confidential messages mobile user while another cooperative transmits artificial noise signals confuse malicious eavesdroppers. Both UAVs have energy constraints and the location information of eavesdroppers is imperfect. We consider worst-case secrecy rate maximization problem over all time slots. optimization solved by jointly designing three-dimensional (3D)...
Current fifth-generation (5G) networks do not cover maritime areas, causing difficulties in developing Internet of Things (IoT). To tackle this problem, we establish a nearshore network by collaboratively using on-shore terrestrial base stations (TBSs) and tethered unmanned aerial vehicles (UAVs). These TBSs UAVs form virtual clusters user-centric manner. Within each cluster, non-orthogonal multiple access (NOMA) is adopted for agilely including various IoT devices, which are usually...
The sixth-generation (6G) network is envisioned to integrate communication and sensing functions, so as improve the spectrum efficiency support explosive novel applications. Although similarities of wireless radio lay foundation for their combination, there still considerable incompatible interest between them. To simultaneously guarantee capacity accuracy, multiple-input multiple-output (MIMO) technique plays an important role due its unique capability spatial beamforming waveform shaping....
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks beyond. However, its uncertainty, referred to as dynamic randomness, from the mobile device, wireless channel, network sides, results high-dimensional, nonconvex, nonlinear, NP-hard optimization problems. Thanks evolved reinforcement learning (RL), upon iteratively interacting with random environment, trained agent can intelligently obtain optimal...
The upcoming sixth generation (6G) network is expected to be more open and heterogeneous, posing new challenges conventional security architectures. Traditionally, these architectures rely on the construction of a perimeter at boundaries. In this article, we propose software-defined zero trust architecture (ZTA) for 6G networks, offering promising approach establish an elastic scalable regime. Our proposed ensures secure access control through adaptive collaborations among domains,...
The use of the unmanned aerial vehicle (UAV) as base stations can provide wireless communication services in form UAV-based small cells (USCs). Thus, major design challenge that needs to be addressed is coverage maximization such USCs presence co-channel interference generated by multiple UAVs operating within a specific target area. Consequently, efficient deployment strategy imperative for while optimizing area performance compensate impact interference. To this end, paper presents...
With rapid development of unmanned aerial vehicles (UAVs), more and UAVs access satellite networks for data transmission. To improve the spectral efficiency, non-orthogonal multiple (NOMA) is adopted to integrate into network, where satellites cooperatively serve mobile terminal using Ku-band above. Taking account rain fading correlation, outage performance first analytically obtained fixed power allocation then efficiently calculated by proposed algorithm guarantee user fairness. Simulation...
In many places all over the world rural and remote areas lack proper connectivity that has led to increasing digital divide. These might have low population density, incomes, etc., making them less attractive invest operate networks. 6G could be first mobile radio generation truly aiming close However, in order do so, special requirements challenges considered since beginning of design process. The aim this white paper is discuss point out related, identified research topics solved 6G. This...
Energy efficiency is a crucial issue for maritime communications, due to the high path loss and limited number of geographically available base station sites. Different from previous studies, we promote energy by exploiting specific characteristics channels user mobility. Particularly, utilize shipping lane information marine users estimate their large-scale channel state information. Based on that, resource allocation jointly optimized all over time slots during voyage, which mixed 0-1...
Hybrid analog/digital processing is crucial for millimeter-wave (mmWave) MIMO systems due to its ability balance the gain and cost. Despite fruitful recent studies, optimal beamforming/combining method remains unknown a practical multiuser, broadband mmWave equipped with low-resolution phase shifters analog-to-digital converters (ADCs). In this paper, we leverage artificial intelligence techniques tackle problem. Particularly, propose neural hybrid (NHB) system, where various types of are...
Time-sensitive services (TSSs) have been widely envisioned for future sixth-generation (6G) wireless communication networks. Due to its inherent low-latency advantage, mobile-edge computing (MEC) will be an indispensable enabler TSSs. The random characteristics of the delay experienced by users are key metrics reflecting Quality Service (QoS) Most existing studies on MEC focused average delay. Only a few research efforts devoted other characteristics, such as delay-bound violation...
In fifth generation (5G) and beyond Internet of Things (IoT), it becomes increasingly important to serve a massive number IoT devices outside the coverage terrestrial cellular networks. Due their own limitations, unmanned aerial vehicles (UAVs) satellites need coordinate with each other in holes 5G, leading cognitive satellite-UAV network (CSUN). this paper, we investigate multi-domain resource allocation for CSUNs consisting satellite swarm UAVs, so as improve efficiency access wide areas....
In the upcoming sixth-generation (6G) era, demand for constructing a wide-area time-sensitive Internet of Things (IoT) continues to increase. As conventional cellular technologies are difficult directly use IoT, it is beneficial non-terrestrial infrastructures, including satellites and unmanned aerial vehicles (UAVs). Thus, we can build network (NTN) using cell-free architecture. Driven by requirements uneven distribution IoT devices, NTN must be empowered mobile edge computing (MEC) while...
Due to its high mobility and flexible deployment, unmanned aerial vehicle (UAV) is drawing unprecedented interest in both military civil applications enable agile ubiquitous connectivity. Mainly operating an open environment, UAV communications benefit from dominant line-of-sight links; however, this on the other hand renders more vulnerable malicious attacks. Recently, physical layer security (PLS) has been introduced systems as important complement conventional cryptography-based...
The upcoming sixth generation (6G) wireless communication network is envisioned to cover space, air, and maritime areas, in addition urban-centered terrestrial coverage by the fifth (5G) network, support intelligent Internet of Things (IoT). Towards this end, we investigate structured integration satellites, unmanned aerial vehicles (UAVs), networks, aiming serve future universal IoT possibly with a massive number devices holes current 5G. hybrid satellite-UAV-terrestrial usually leads high...
The hands and face are the most important parts for expressing sign language morphemes in videos. However, we find that existing Continuous Sign Language Recognition (CSLR) methods lack mining of hand information visual backbones or use expensive time-consuming external extractors to explore this information. In addition, signs have different lengths, whereas previous CSLR typically a fixed-length window segment video capture sequential features then perform global temporal modeling, which...
Optoelectronic thin films play a critical role across various high-tech industries, including new materials, energy storage sectors, chip manufacturing, and biomedicine. This paper details the enhancement of optoelectronic film properties through innovative use Sum Frequency Generation (SFG) spectroscopy. non-linear spectroscopic technique is uniquely suited to studying surfaces interfaces without damaging samples, offering detailed insights into molecular arrangements chemical states at...