- UAV Applications and Optimization
- Advanced Wireless Communication Technologies
- Energy Harvesting in Wireless Networks
- Millimeter-Wave Propagation and Modeling
- Mobile Ad Hoc Networks
- Satellite Communication Systems
- Distributed Control Multi-Agent Systems
- Opportunistic and Delay-Tolerant Networks
- Optical Wireless Communication Technologies
- Cooperative Communication and Network Coding
- Underwater Vehicles and Communication Systems
- Wireless Power Transfer Systems
- Advanced Wireless Network Optimization
- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Wireless Networks and Protocols
- Advanced MIMO Systems Optimization
- Antenna Design and Analysis
- Teaching and Learning Programming
- Full-Duplex Wireless Communications
- IoT and Edge/Fog Computing
- Metamaterials and Metasurfaces Applications
- Orbital Angular Momentum in Optics
South China Agricultural University
2023-2024
South China University of Technology
2020-2022
New Horizons Diagnostics (United States)
2020
South China Normal University
2017
Energy-limited devices and connectivity in complicated environments are two main challenges for Internet of Things (IoT)-enabled mobile networks, especially when IoT distributed a disaster area. Unmanned aerial vehicle (UAV)-enabled simultaneous wireless information power transfer (SWIPT) is emerging as promising technique to tackle the above problems. In this article, we establish an emergency communications framework UAV-enabled SWIPT where scenarios classified into three cases, namely,...
Beamforming and non-orthogonal multiple access (NOMA) serve as two potential solutions for achieving spectral efficient communication in the fifth generation beyond wireless networks. In this paper, we jointly apply a hybrid beamforming NOMA techniques to an unmanned aerial vehicle (UAV)-carried wireless-powered mobile edge computing (MEC) system, within which UAV is equipped with power charger MEC platform delivers energy services Internet of Things (IoT) devices. Our aim maximize sum...
The Industrial Internet of Things (IIoT) has been viewed as a typical application for the fifth generation (5G) mobile networks. This article investigates energy efficiency (EE) optimization problem Device-to-Device (D2D) communications underlaying unmanned aerial vehicles (UAVs)-assisted IIoT networks with simultaneous wireless information and power transfer (SWIPT). We aim to maximize EE system while satisfying constraints transmission rate budget. However, designed is nonconvex involving...
This paper considers an unmanned aerial vehicle (UAV)-aided millimeter Wave (mmWave) multiple-input-multiple-output (MIMO) non-orthogonal multiple access (NOMA) system, where a UAV serves as flying base station (BS) to provide wireless services set of Internet Things (IoT) devices in different clusters. We aim maximize the downlink sum rate by jointly optimizing three-dimensional (3D) placement UAV, beam pattern and transmit power. To address this problem, we first transform non-convex...
High spectrum efficiency (SE) requirement and massive connections are the main challenges for fifth generation (5G) beyond 5G (B5G) wireless networks, especially case when Internet of Things (IoT) devices located in a disaster area. Non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-aided network is emerging as promising technique to overcome above challenges. In this paper, an emergency communications framework NOMA-based UAV-aided networks established, where...
This paper investigates a reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicle (UAV)-enabled wireless powered communication network (WPCN). In the system, UAV acts as hybrid access point (HAP) to charge users in downlink (DL) and receive messages uplink (UL). particular, RIS is exploited significantly enhance efficiency of both DL UL transmission. Our objective minimum throughput among all ground by jointly optimizing horizontal location UAVs, transmit power users,...
Reconfigurable intelligent surface (RIS) is a promising technique that smartly reshapes wireless propagation environment in the future networks. In this paper, we apply RIS to an unmanned aerial vehicle (UAV)-assisted non-orthogonal multiple access (NOMA) network, which transmit signals from UAVs ground users are strengthened through RIS. Our objective minimize power consumption of system while meeting constraints minimum data rate for and inter-UAV distance. The formulated optimization...
Due to its strong flexibility, easy deployment and extensive connectivity, unmanned aerial vehicle (UAV) swarm has been widely used in emergency communication recent years, especially the case when terrestrial infrastructures are no longer available.Within a UAV swarm, design of routing protocol is one most challenging problems that enables cooperation among multiple UAVs perform complex tasks disaster areas.Nevertheless, protocols reported so far have made simplifying assumption nodes move...
This paper investigates the energy efficiency (EE) optimization problem for device-to-device (D2D) communications underlaying non-orthogonal multiple access (NOMA) unmanned aerial vehicles (UAVs)-assisted networks with simultaneous wireless information and power transfer (SWIPT). Our aim is to maximize of system while satisfying constraints transmission rate budget. However, considered EE non-convex involving joint UAV's location, beam pattern, control time scheduling, which difficult solve...
Beamforming and non-orthogonal multiple access (NOMA) are two key techniques for achieving spectral efficient communication in the fifth generation beyond wireless networks. In this paper, we jointly apply a hybrid beamforming NOMA to an unmanned aerial vehicle (UAV)-carried wireless-powered mobile edge computing (MEC) system, within which UAV is mounted with power charger MEC platform delivers energy services Internet of Things (IoT) devices. We aim maximize sum computation rate at all IoT...
This article investigates nonorthogonal multiple access (NOMA)-based cloud radio networks (C-RANs), where edge caching is adopted to cut down the crowdedness of fronthaul links. We aim maximize energy efficiency (EE) by jointly optimizing power allocation, analog, and digital precoding, which turns out be an intractable nonconvex optimization problem. To tackle this problem, we first select cluster heads using selecting cluster-head (SCH) algorithm, analog precoding matrix can resolved means...
Heterogeneous ad hoc networks with MIMO links can significantly improve transmission performance of the entire distributed wireless communication system. In this paper, we investigate how to increase total system throughput and decrease end-to-end delay help heterogeneous characteristics networks. Even if there are lots references about scheduling control considering multiple antennas, channel state, so on, it still needs be addressed guarantee destination receive packets a short delay. To...
This paper studies an unmanned aerial vehicle (UAV)-aided Multiple-input-Multiple-output (MIMO) nonorthogonal multiple access (NOMA) system, where a UAV acts as flying base station (BS) to provide wireless services set of Internet Things (IoT) devices. To improve the transmission efficiency, sum rate all IoT devices can be maximized by jointly optimizing three-dimensional (3D) position UAV, beam pattern and transmit power. tackle this problem, we first transform non-convex problem into total...
Due to its strong flexibility, easy deployment, high maneuverability and extensive connectivity, unmanned aerial vehicle (UAV) swarm has been widely used in the construction of emergency communication network recent years. Among them, packet routing a resilient adaptive manner is one fundamental problems for cooperation between multiple UAVs complete search rescue tasks. Recently, reinforcement learning (RL) technique provided new opportunity network-related applications, including routing....
Plane spiral orbital angular momentum (PSOAM) mode-groups (MGs) and multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) serve as two emerging techniques for achieving high spectral efficiency (SE) in the next-generation networks. In this paper, a PSOAM MGs based multi-user MIMO-NOMA system is studied, where base station transmits data to users by utilizing generated beams. For such scenario, interference between different mode groups can be avoided, which leads...
This paper investigates a reconfigurable intelligent surface (RIS)-aided unmanned aerial vehicles (UAVs) system with non-orthogonal-multiple access (NOMA), where the transmit signals from multiple UAVs to ground users are strengthened through RIS. An innovative framework is designed minimize total power consumption of system, by jointly optimizing position UAVs, RIS reflection coefficients, active beamforming vectors and decoding order. To solve this problem, we first consider sub-solution...
The past few years have witnessed a remarkable leap forward in the tactical position of UAV swarm aerial electronic warfare. Among them, energy-aware packet routing is one fundamental problems for cooperation between multiple UAVs to complete combat missions complex battlefield environments. Recently, deep reinforcement learning (DRL) technique provides new opportunity networks related applications, including routing, resource allocation and network access. However, most existing DRL-based...
Multiple-input and multiple-output (MIMO) technique can significantly improve transmission reliability bandwidth efficiency in wireless networks. However, many upper layer aspects of MIMO links, especially mobile networks with heterogeneous antennas strong interference environments, need further investigation. In this paper, we study its impact on medium access network capacity. Since links enhance physical capacity co-channel suppression that affects scheduling directly, develop a...
This paper studies an unmanned aerial vehicle (UAV)-aided Internet of Things (IoT) millimeter Wave (mmWave) non-orthogonal multiple access (NOMA) system, where a UAV acts as flying base station (BS) to provide wireless services set IoT devices. We aim maximize the downlink sum rate by jointly optimizing three-dimensional (3D) location UAV, beam pattern and transmit power. To solve this problem, we first transform original problem into total path loss minimization then optimal 3D placement...