A5101976106- Advanced Wireless Communication Technologies
- UAV Applications and Optimization
- Advanced MIMO Systems Optimization
- Indoor and Outdoor Localization Technologies
- Satellite Communication Systems
- IoT Networks and Protocols
- Age of Information Optimization
- Infrastructure Maintenance and Monitoring
- Asphalt Pavement Performance Evaluation
- Advanced Sensor and Control Systems
- Energy Harvesting in Wireless Networks
- Privacy-Preserving Technologies in Data
- Sparse and Compressive Sensing Techniques
- Advanced Measurement and Detection Methods
- IoT and Edge/Fog Computing
- Power Systems and Technologies
- Radar Systems and Signal Processing
- Wireless Communication Security Techniques
- Cloud Data Security Solutions
- Tactile and Sensory Interactions
- Semiconductor materials and devices
- Blockchain Technology Applications and Security
- Space Satellite Systems and Control
- Power Systems Fault Detection
- Millimeter-Wave Propagation and Modeling
Geometric (India)
2024
Hunan University
2023-2024
Northwestern University
2024
Chinese People's Armed Police Force Engineering University
2023
Dalian Jiaotong University
2022
Beijing Information Science & Technology University
2021
Guangxi University
2017
Tsinghua University
2014
Nanjing Tech University
2010
In this paper, we consider the application of intelligent reflecting surface (IRS) in unmanned aerial vehicle (UAV)-based orthogonal frequency division multiple access (OFDMA) communication systems, which exploits both significant beamforming gain brought by IRS and high mobility UAV for improving system sum-rate. The joint design UAV's trajectory, scheduling, resource allocation proposed is formulated as a non-convex optimization problem to maximize sum-rate while taking into account...
In this paper, an IRS-aided integrated sensing and communications (ISAC) system operating in the terahertz (THz) band is proposed to maximize capacity. Transmit beamforming phase-shift design are transformed into a universal optimization problem with ergodic constraints. Then joint of transmit achieved by gradient-based, primal-dual proximal policy (PPO) multi-user multiple-input single-output (MISO) scenario. Specifically, actor part generates continuous critic takes charge discrete phase...
Sensations of heat and touch produced by receptors in the skin are essential importance for perceptions physical environment, with a particularly powerful role interpersonal interactions. Advances technologies replicating these sensations programmable manner have potential not only to enhance virtual/augmented reality environments but they also hold promise medical applications individuals amputations or impaired sensory function. Engineering challenges achieving interfaces precise spatial...
Low earth orbit (LEO) satellite constellation-enabled communication networks are expected to be an important part of many Internet Things (IoT) deployments due their unique advantage providing seamless global coverage. In this paper, we investigate the random access problem in massive multiple-input multiple-output-based LEO systems, where multi-satellite cooperative processing mechanism is considered. Specifically, at edge nodes, conceive a training sequence padded multi-carrier system...
Cold mixed epoxy asphalt mixture (CMEAM) has excellent anti-deformation and fatigue performance which shows remarkable superiority on bridge pavements. Previous studies have done comprehensive researches its properties through macroscopic experiments. However, few revealed the impact of gradation design road property CMEAM microscopic method. Thus, in this paper, X-Ray computed tomography (X-ray CT), nanoindentation (NI), field emission scanning electron microscopy (FESEM) mercury intrusion...
Cold mixed epoxy asphalt mixture (CMEAM) is widely applied on steel deck bridge pavements due to its excellent high temperature and fatigue resistance. However, previous studies investigated above two properties through destructive test or without considering water-damage factor, respectively, which far away from real servicing condition. To distinguish of EA-05 EA-10 (mixture with nominal maximum particle size 4.75 mm 9.5 mm), uniaxial static creep tests, dynamic modulus four-point bending...
Massive connectivity for extra large-scale multi-input multi-output (XL-MIMO) systems is a challenging issue due to the near-field access channels and prohibitive cost. In this paper, we propose an uplink grant-free massive scheme XL-MIMO systems, in which mixed-analog-to-digital converters (ADC) architecture adopted strike right balance between performance power consumption. By exploiting spatial-domain structured sparsity piecewise angular-domain cluster of channels, compressive sensing...
Exploiting multiple-input multiple-output (MIMO) technology in UAV networks will mine the potential of spatial multiplexing. However, considering UAVs 3D distribution and line-of-sight (LOS)/non-line-of-sight (NLOS) channel dynamics, multi-antenna transmission exacerbate network irregularity render interference management a complicated problem to solve. This paper proposes coordination model for via multi-cell beamforming signal-level cooperation networks, analyzes system performance by...
This paper proposes a unified semi-blind detection framework for sourced and unsourced random access (RA), which enables next-generation ultra-reliable low-latency communications (URLLC) with massive number of devices. Specifically, the active devices transmit their uplink signals in grant-free manner to realize ultra-low latency. Meanwhile, base station aims achieve data under severe inter-device interference without exploiting explicit channel state information (CSI). We first propose an...
Cold-mixed epoxy-asphalt mixture (CMEAM) has gradually received increased attention in steel bridge pavement construction due to its excellent road performance and low harmful gas emissions. According previous studies, EA-05 EA-10 (epoxy asphalt with nominal maximum particle sizes of 4.75 9.5 mm, respectively), are advised be applied CMEAM hot mixed epoxy (HMEAM), respectively. This only considers the temperature factor ignores gradation influence. To make a clear design illustration for...
Reasonable resource management scheme is the premise to ensure system reliability and practicability of vehicle-to-vehicle (V2V) communications network. In this paper, spectrum allocation power control studied. Firstly, problem block (RB) sharing considered. Assuming that each V2V link occupies at most one while multiple links can share same RB. work, a factor graph model proposed corresponding RB through function mapping. Therefore, equivalent studying message update belief inference on...
The unmanned aerial vehicle (UAV) communication has become a promising technology to enhance network coverage thanks the high mobility and flexibility of UAV. However, dense deployment UAVs time-varying environment will introduce frequent handovers. This paper proposes tractable equivalent model for 3D UAV networks, derives compact expressions user association probability handover through stochastic geometry analysis. Modeling wireless as multi-tier where locations in each tier follow...
Federated edge learning (FEL) deploys a machine algorithm by using devices distributed on the of network, trains massive local data, uploads model to update parameters after training, and performs alternate updating with global reduce pressure for uplink data transmission, prevent systematic time delay ensure security. This paper proposes that an optimal balance between energy consumption be achieved optimizing transmission power bandwidth allocation based user quality experience (QoE) in...
With the emergence of innovative applications in vertical industries such as smart home and industrial automation, machine communication has shown a spurt development. Different from traditional human-oriented cellular communication, is characterized by strong uncertainty abruptness, large-scale concurrent device connection well uneven unsaturated data traffic. This article investigates dynamic multiple-devices multiple-channels access for traffic with retransmission mechanism, which aimed...
This paper focuses on reducing execution delays of dynamic computing tasks in UAV-assisted fault-prone mobile edge (FP-MEC) systems, which combine (MEC) and network function virtualization (NFV) technologies. FP-MEC is suited to meet Industrial Internet (IIN) requirements such as data privacy, low latency, low-cost industrial scalability specific scenarios. However, the reliability virtual functions (VNFs) deployed UAVs could impact system performance. Thus, this proposes task scheduling...
Deep learning (DL)-based signal detection techniques have demonstrated significantly superior performance than the conventional methods in orthogonal time frequency space (OTFS) systems. Despite effectiveness, existing using DL are environment-specific. For instance, a model trained one environment may become ineffective if environmental changes occur, e.g., user scheduling, inter-user interference and network scheduling. A re-training process is required to refine numerous samples from...
In unmanned aerial vehicle (UAV) networks, line-of-sight (LOS) links dominate the communication among UAV transmission points (TPs) and user equipments (UEs), which tremendously improves link quality but also leads to strong interference. This paper proposes a power control strategy combat interference in user-centric where dynamic point group (TPG) is organized serve each seamlessly. Based on strategy, semi-closed expression of network downlink coverage probability derived leveraging...
In this paper, we develop an orthogonal-frequency-division-multiplexing (OFDM)-based over-the-air (OTA) aggregation solution for wireless federated learning (FL). particular, the local gradients in massive IoT devices are modulated by analog waveform and then transmitted using same resources. To end, achieving perfect superposition is key challenge, which difficult due to existence of frame timing offset (TO) carrier frequency (CFO). order address these issues, propose a two-stage...
Channel estimation is a key technology of the Orthogonal Frequency Division Multiplexing. In this article, given maximum Doppler frequency and delay spread, we design optimized pilot pattern taps for Wiener interpolation filter according to MMSE algorithm, implement LMMSE channel in FPGA. Compared two-dimensional filter, its performance next ideal it costs less hardware resource.
<div class="section abstract"><div class="htmlview paragraph">In response to the escalating demand for high-performance, miniaturized, and integrated radio frequency (RF) systems, this research explores application of Zynq UltraScale+ RFSoC XCZU47DR chip in realm RF transceiver technology. An 8-channel, 4.8Gsps multi-channel distributed collaborative spectrum sensing architecture has been designed, incorporating lightweight IQ neural network, which comprises a convolutional...
In the massive machine type of communication (mMTC), grant-free non-orthogonal multiple access (NOMA) is receiving more and attention because it can skip complex grant process to allocate resources serve users. To address limited wireless substantial connection challenges, combining NOMA multiple-input multiple-output (MIMO) crucial further improve system’s capacity. MIMO-NOMA system, base station should obtain relevant information user before data detection. Thus, activity detection (UAD)...
In this paper, we consider the application of intelligent reflecting surface (IRS) in unmanned aerial vehicle (UAV)-based orthogonal frequency division multiple access (OFDMA) communication systems, which exploits both significant beamforming gain brought by IRS and high mobility UAV for improving system sum-rate. The joint design UAV's trajectory, scheduling, resource allocation proposed is formulated as a non-convex optimization problem to maximize sum-rate while taking into account...