Link performance analysis of Unmanned Aerial Vehicles

Abstract

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.