Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8377
Title: Optimal Precoding and Deployment of Millimeter-Wave Drone Base Stations
Authors: Yürekli, F.
Girici, Tolga
Keywords: Base Station
Deployment
Drone
mmWave
Precoding
UAV
Beamforming
Drones
K-means clustering
Millimeter waves
Channel conditions
Deployment
Drone
High data rate
High data-rates
Line-of-sight channels
Mm waves
Precoding
Simultaneous transmission
Wave beamforming
Base stations
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Due to their flexible deployment and line-of-sight channel conditions, drone base stations is a promising technology. Recent developments in Massive MIMO tranmission with millimeter-wave beamforming also enables high data rates and enables simultaneous transmission to multiple ground users. In this work we consider the problem of deployment (i.e. positioning) of drone base stations and analog MIMO beamforming that maximizes SINR. Simulation results reveal that careful K-Means clustering of ground users, together with DFT-based beamforming provides a promising performance. © 2021 IEEE.
Description: A1;Montop pro;ZTE
4th International Balkan Conference on Communications and Networking, BalkanCom 2021 -- 20 September 2021 through 22 September 2021 -- 173667
URI: https://doi.org/10.1109/BalkanCom53780.2021.9593260
https://hdl.handle.net/20.500.11851/8377
ISBN: 9781665402583
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record



CORE Recommender

Page view(s)

208
checked on Nov 11, 2024

Google ScholarTM

Check




Altmetric


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