Ray Tracing Based Flying Altitude Optimization for UAV Communications in Urban Environment
Author: 
Lei ZhangAuthors Info & Claims
Pages 89 - 95
Abstract
Recently using Unmanned Aerial Vehicles (UAVs) has captivated the great attention of communication engineers because of its capability to move and act as flying base stations or relay stations, extending coverage of cellular networks and also providing temporary connectivity in case of events and emergency situations. This paper proposes a machine learning and optimization algorithm to estimate the optimal height of UAV based on path loss and Root Mean Square Delay Spread (RMS-DS) for each cluster of users. A random forest regression-based model predicts the path loss and RMS-DS for different heights, and a global search algorithm is used to find the optimal height for each cluster based on predicted path loss and RMS-DS values. The clusters were obtained using k-mean clustering. Meanwhile using the ITU indoor propagation model and data collected by simulation, we estimate outdoor to indoor propagation loss for the indoor cluster.
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Index Terms
- Ray Tracing Based Flying Altitude Optimization for UAV Communications in Urban Environment
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Published In
April 2024
114 pages
ISBN:9798400709005
DOI:10.1145/3657529
Copyright © 2024 ACM.
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Published: 31 July 2024
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- Research-article
- Research
- Refereed limited
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- National Natural Science Foundation of China
- National Natural Science Foundation of China
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icWCSN 2024
icWCSN 2024: 2024 11th International Conference on Wireless Communication and Sensor Networks
April 12 - 14, 2024
Chengdu, China
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