Load Balancing Beam Selection Alogorithm using Fingerprint DB in UAV Supported Cellular Systems

Unmanned Aerial Vehicle (UAV) is attracting attention as a key element of the New Radio (NR) system as it can exceed the limits of the ground network to prepare for the rapidly increasing data usage and create new application services. However, high-altitude UAVs have a high Line-Of-Sight (LOS) prob...

Full description

Saved in:
Bibliographic Details
Main Authors: Sin, Seungseok, Sim, Yuna, Ma, Jina, Kim, Kyunam, Liu, Huaping, Moon, Sangmi, Hwang, Intae
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Autonomous aerial vehicles
beam selection with load balancing
cumulative distribution function
fingerprint database
Fingerprint recognition
Interference
Line-of-sight propagation
Load management
signal-to-interference-plus-noise ratio
unmanned aerial vehicle
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Unmanned Aerial Vehicle (UAV) is attracting attention as a key element of the New Radio (NR) system as it can exceed the limits of the ground network to prepare for the rapidly increasing data usage and create new application services. However, high-altitude UAVs have a high Line-Of-Sight (LOS) probability, resulting in interference problems between adjacent cells in multi-cell networks. Therefore, this paper proposes an algorithm that selects the optimal beam to reduce the impact of interference and ensure high transmission efficiency. Specifically, the proposed algorithm consists of the process of building a Fingerprint Database (fingerprint database) and the process of selecting a load balancing beam. Simulations were conducted based on the downlink system for performance analysis, and signal-to-interference-plus-noise cumulative distribution function (SINR CDF) is used as performance analysis indicators.
ISSN:2767-7699
DOI:10.1109/ICEIC61013.2024.10457244