Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2746
Title: UAV Base Station Location Optimization for Next Generation Wireless Networks: Overview and Future Research Directions
Authors: Çicek, Cihan Tuğrul
Gültekin, Hakan
Tavlı, Bülent
Yanıkömeroğlu, Halim
Keywords: Unmanned aerial vehicles
beyond 5G
nonterrestrial networks
optimization
UAV base station
survey
Issue Date: 2019
Publisher: IEEE
Source: Cicek, C. T., Gultekin, H., Tavli, B., and Yanikomeroglu, H. (2019, February). UAV Base Station Location Optimization for Next Generation Wireless Networks: Overview and Future Research Directions. In 2019 1st International Conference on Unmanned Vehicle Systems-Oman (UVS) (pp. 1-6). IEEE.
Abstract: Unmanned aerial vehicles mounted base stations (UAV-BSs) are expected to become one of the significant components of the Next Generation Wireless Networks (NGWNs). Rapid deployment, mobility, higher chances of unobstructed propagation path, and flexibility features of UAV-BSs have attracted significant attention. Despite, potentially, high gains brought by UAV-BSs in NGWNs, many challenges are also introduced by them. Optimal location assignment to UAV-BSs, arguably, is the most widely investigated problem in the literature on UAV-BSs in NGWNs. This paper presents a comprehensive survey of the literature on the location optimization of UAV-BSs in NGWNs. A generic optimization framework through a universal Mixed Integer Non-Linear Programming (MINLP) formulation is constructed and the specifications of its constituents are elaborated. The generic problem is classified into a novel taxonomy. Due to the highly challenging nature of the optimization problem a range of solutions are adopted in the literature which are also covered under the aforementioned classification. Furthermore, future research directions on UAV-BS location optimization in 5G and beyond non-terrestrial aerial communication systems are discussed.
URI: https://hdl.handle.net/20.500.11851/2746
https://ieeexplore.ieee.org/document/8658363
ISBN: 978-153869368-1
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

SCOPUSTM   
Citations

28
checked on Sep 23, 2022

Page view(s)

32
checked on Feb 6, 2023

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.