Mengan Song

ORCID: 0000-0003-0151-1163
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About
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Research Areas
  • UAV Applications and Optimization
  • Smart Parking Systems Research
  • Millimeter-Wave Propagation and Modeling
  • Optical Wireless Communication Technologies
  • Indoor and Outdoor Localization Technologies
  • Radio Wave Propagation Studies
  • Image Enhancement Techniques
  • Vehicular Ad Hoc Networks (VANETs)
  • Video Surveillance and Tracking Methods
  • Precipitation Measurement and Analysis
  • Air Traffic Management and Optimization

Chang'an University
2020-2024

ORCID
2022

University of Victoria
2020

Our study proposes a UAV communications recovery strategy under meteorological conditions based on ray tracing simulation of excessive path loss in four distinct three-dimensional (3D) urban environments. We start by reviewing the air-to-ground propagation model conditions, as well specific attenuation rain, fog, and snow, we propose new expression for line-of-sight (LoS) probability. Using two frequency bands 28 GHz 71 GHz, investigate impact caused different weather analyze relationship...

10.3390/drones7070423 article EN cc-by Drones 2023-06-26

Through ray tracing simulation on three-dimensional (3D) urban environments, we characterize air-to-ground (A2G) channels for 5G and beyond wireless communications. In this study, review four types of elevation angle-dependent probability line-of-sight (LoS) expressions according to building distribution types. With channel characterization data extracted from the (RT) simulation, LoS versus angle agrees better with that assumes buildings are randomly distributed. Furthermore, provide a more...

10.1109/access.2022.3224776 article EN cc-by IEEE Access 2022-01-01

As 5G wireless systems and networks are now being globally commercialized deployed, more diversified application scenarios emerging, quickly reshaping our societies paving the road to beyond (6G) era when terahertz (THz) unmanned aerial vehicle (UAV) communications may play critical roles. In this paper, channel models under multiple meteorological conditions such as rain, fog snow, have been investigated at frequencies of interest (from 2 GHz 900 GHz) for UAV communications. Furthermore,...

10.1109/vtc2020-fall49728.2020.9348592 preprint EN 2020-11-01

Abstract In this letter, the authors present a novel expression for probability of line‐of‐sight (LoS) between UAV and ground users situated on gridded street within urban dense environments. Firstly, study conducts extensive ray‐tracing simulations, encompassing over 50,000 receivers positioned along streets in Brooklyn Manhattan, respectively. Moreover, impact width LoS is investigated, considering three different average widths. By fitting data corresponding to UAV's elevation angle two...

10.1049/ell2.12979 article EN cc-by Electronics Letters 2023-10-01

Recently, the visible light positioning (VLP) has become a promising indoor method due to its high accuracy and low cost. However, computational complexity error of VLP based on machine-learning (ML) algorithms should be seriously considered, especially when large number training samples are used. In this paper, we present extreme learning machine (ELM) with local (ELM-LTS) which distributed around target node (TN). First, region iterative threshold reduction is proposed obtain square where...

10.1109/wcsp55476.2022.10039386 article EN 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP) 2022-11-01

Recently, weighted K-nearest neighbors (WKNN) algorithm was used in fingerprint-based visible light positioning (VLP) systems and gained significant attention due to its low complexity. However, the standard WKNN only utilizes distance or cosine similarity (angle) between power vectors received by target reference points (RPs) fingerprint database determine weights. That means it does not fully exploit RPs which depends on their angle. In order enhance accuracy, an improved (IWKNN) is...

10.1109/icicn59530.2023.10392814 article EN 2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN) 2023-08-17
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