Work

Interference-Aware Deployment for Maximizing User Satisfaction in Multi-UAV Wireless Networks

Year: 2023

Type: article

Abstract: In this letter, we study the deployment of Unmanned Aerial Vehicle mounted Base Stations (UAV-BSs) in multi-UAV cellular networks. We model the multi-UAV deployment problem as a user satisfaction maximization problem, that is, maximizing the proportion of served ground users (GUs) that meet a given minimum data rate requirement. We propose an interference-aware deployment (IAD) algorithm for serving arbitrarily distributed outdoor GUs. The proposed algorithm can alleviate the problem of overlapping coverage between adjacent UAV-BSs to minimize inter-cell interference. Therefore, reducing co-channel interference between UAV-BSs will improve user satisfaction and ensure that most GUs can achieve the minimum data rate requirement. Simulation results show that our proposed IAD outperforms comparative methods by more than 10% in user satisfaction in high-density environments.

Source: IEEE Wireless Communications Letters

DOI: 10.1109/lwc.2023.3266011

Authors: Chuan-Chi Lai, Ang-Hsun Tsai, Chia-Wei Ting, Ko-Han Lin, Jing-Chi Ling, Chia-En Tsai

Institution: Feng Chia University

Language: English

Topic: UAV Applications and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $2,345