Link performance analysis of Unmanned Aerial Vehicles

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2021.

Bibliografiska uppgifter
Huvudupphovsmän: Oishi, Aniqa Tasnim, Rahman, Leeyana Ferheen, Siddika, Mosarrat Jahan, Arnab, Shahriar
Övriga upphovsmän: Sabuj, Saifur Rahman
Materialtyp: Lärdomsprov
Språk:en_US
Publicerad: BRAC University 2021
Ämnen:
Länkar:http://hdl.handle.net/10361/14518
id 10361-14518
record_format dspace
spelling 10361-145182021-06-10T21:01:24Z Link performance analysis of Unmanned Aerial Vehicles Oishi, Aniqa Tasnim Rahman, Leeyana Ferheen Siddika, Mosarrat Jahan Arnab, Shahriar Sabuj, Saifur Rahman Mohsin, Abu S.M. Department of Electrical and Electronic Engineering, Brac University Caching Energy consumption Mobile edge computing Non-orthogonal multiple access Time consumption Unmanned Aerial Vehicle This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 31-35). Unmanned Aerial Vehicles (UAVs) play a vital role in the growing technological advancements. Researchers have been trying to utilize UAVs as a replacement to static base stations. However, adjustments need to be made in order to form a seamless wireless connection with ultra-reliability and low latency. In this thesis, we explore the idea of implementing flying base stations in conjunction with MEC architecture. We provide descriptions of Mobile Edge Computing and Caching and their need in achieving a secure connection for time sensitive applications while simultaneously reducing the energy consumption of UAVs. Furthermore, we execute mathematical models for data rate, transmission delay, time consumption and energy consumption using Non-Orthogonal Multiple Access (NOMA) techniques and compare their simulations at different Signal to Noise Ratios (SNRs) for both uplink and downlink transmissions. From our proposed model we derived a numerical result which showed that at SNR 30 dB the total delay is 0.16% more than the processing delay. Aniqa Tasnim Oishi Leeyana Ferheen Rahman Mosarrat Jahan Siddika Shahriar Arnab B. Electrical and Electronic Engineering 2021-06-10T05:14:09Z 2021-06-10T05:14:09Z 2021 2021-01 Thesis ID: 17121045 ID: 17110008 ID: 17121016 ID: 17121032 http://hdl.handle.net/10361/14518 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 35 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language en_US
topic Caching
Energy consumption
Mobile edge computing
Non-orthogonal multiple access
Time consumption
Unmanned Aerial Vehicle
spellingShingle Caching
Energy consumption
Mobile edge computing
Non-orthogonal multiple access
Time consumption
Unmanned Aerial Vehicle
Oishi, Aniqa Tasnim
Rahman, Leeyana Ferheen
Siddika, Mosarrat Jahan
Arnab, Shahriar
Link performance analysis of Unmanned Aerial Vehicles
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2021.
author2 Sabuj, Saifur Rahman
author_facet Sabuj, Saifur Rahman
Oishi, Aniqa Tasnim
Rahman, Leeyana Ferheen
Siddika, Mosarrat Jahan
Arnab, Shahriar
format Thesis
author Oishi, Aniqa Tasnim
Rahman, Leeyana Ferheen
Siddika, Mosarrat Jahan
Arnab, Shahriar
author_sort Oishi, Aniqa Tasnim
title Link performance analysis of Unmanned Aerial Vehicles
title_short Link performance analysis of Unmanned Aerial Vehicles
title_full Link performance analysis of Unmanned Aerial Vehicles
title_fullStr Link performance analysis of Unmanned Aerial Vehicles
title_full_unstemmed Link performance analysis of Unmanned Aerial Vehicles
title_sort link performance analysis of unmanned aerial vehicles
publisher BRAC University
publishDate 2021
url http://hdl.handle.net/10361/14518
work_keys_str_mv AT oishianiqatasnim linkperformanceanalysisofunmannedaerialvehicles
AT rahmanleeyanaferheen linkperformanceanalysisofunmannedaerialvehicles
AT siddikamosarratjahan linkperformanceanalysisofunmannedaerialvehicles
AT arnabshahriar linkperformanceanalysisofunmannedaerialvehicles
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