Abstract

Objectives: The ultimate goal of this study is to explore, analyse, and evaluate the use of mm Wave in access and backhaul network simultaneously for the use of UAVs in Next-Generation Wireless Networks (5G). Methods/statistical analysis: Future wireless communication, especially the densified 5G network, will bring numerous innovations to the current telecommunication industry and will support a 100-fold gain in throughput, 100-folds in connection for at least 100 billion devices, and a 10 Gb/s individual user experience capable of extremely low latency and response times. In such scenarios, the use of Unmanned Aerial Vehicle (UAV) as Base Stations (BS) becomes one of the viable options for providing 5G services. Findings: This study analyses and describe the distinctive rich characteristics of mmWave propagation. Indepth literature review has been conducted. End‐to‐end equations have been derived for calculating power received by the end-user while getting coverage through amplify-and-forward UAV relay. Using ray racing simulator, effectiveness of diffracted, reflected, and scattered paths versus direct paths has been shown in tiny wavelength frequency band. Application/improvements: Huge continuous bandwidth availability in mmWave has increased its lucrativeness in radio communication. Smart integration of UAVs in 5G network needs efficient placement mechanism for providing blazingly fast wireless cellular network services. This fundamental study will facilitate further research in exploring UAV-supported 5G network at unparalleled mmWave frequency band. Keywords: Unmanned Aerial Systems (UAS), Unnamed Aerial Vehicle (UAV), Communication Resource Management (CRM), Edge Computing at RAN (EC-RAN), Core Network (CN), Customer Quality Experience (CQX), Free-space Optical Communication (FSO), Aerial Network (AN), Key Point indicator (KPI), Fronthaul (FH), Backhaul (BH)

Highlights

  • Radio communication evolved a lot over the past 40 years

  • MmWave links constrain Unmanned Aerial Vehicle (UAV) from using high altitude due to its intrinsically high path loss with growing distance from transmitter to receiver, so terrestrial channel models can be applied to mmWave aerial communication as well in scenarios where UAV will be placed at the same height as that of the terrestrial base stations

  • The proposed architecture in this article is depicted in Figure 2; the aerial‐terrestrial network is based on the combination of traditional terrestrial base station (BS) communicating with UAV equipped as amplify-andforward relay (UAV‐Base Stations (BS))

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Summary

Introduction

Radio communication evolved a lot over the past 40 years In this perspective, access to cellular part will be very dense to support 10 Gbps data transfer rate and 1 millisecond latency of future wireless networks. Access to cellular part will be very dense to support 10 Gbps data transfer rate and 1 millisecond latency of future wireless networks In this context, mmWave can fulfil the scarcity of bandwidth, and it has been trialled in many cases for access or backhaul communication, but its potential for use simultaneously for both access and backhaul link is still under research and needs to be explored further.

Background and Literature Review
System Architecture Description
LINK‐level Performance Modelling
Propagation Modelling in Ray Tracing Simulations
Dominant Propagation Paths
Conclusion and Discussions
Regulation of drones
Full Text
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