Skip to main navigation Skip to search Skip to main content

QoS-based performance analysis of mmWave UAV-assisted 5G hybrid heterogeneous network

Research output: Contribution to journalConference articlepeer-review

12 Citations (Scopus)

Abstract

Unmanned aerial vehicles (UAVs) provide us with the ability for rapid, on demand, and infrastructure-less deployment. This capability can be exploited to meet the rising demands of future fifth generation (5G) and Internet of things (IoT) networks. In this study, we consider a downlink scenario in a multi-tier heterogeneous network (HetNet), with sub-6GHz and millimeter wave (mmWave) UAVs coexisting as aerial base stations (ABSs), to meet the network quality-of- service (QoS) requirements. The considered QoS metrics are network coverage and data rates. The network area has no pre-existing communication infrastructure. We study the impact of various network configurations, by varying ratio of mmWave UAVs to total UAVs in the HetNet, number of users, and bias factor for mmWave tier. Our results validate that sub-6GHz and mmWave UAVs can be deployed together to complement each other in a multi-tier HetNet where the sub-6GHz tier will enhance the coverage and the mmWave tier will improve the data rates. Through extensive simulations, we propose and implement a methodology to configure the HetNet for an efficient coverage-rate trade off, while meeting the desired QoS metrics at the same time.

Original languageEnglish
Article number9013209
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
Publication statusPublished - 2019
Event2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • 5G Networks
  • Heterogeneous networks (HetNets)
  • Hybrid network
  • MmWave
  • UAV-assisted

Fingerprint

Dive into the research topics of 'QoS-based performance analysis of mmWave UAV-assisted 5G hybrid heterogeneous network'. Together they form a unique fingerprint.

Cite this