Connecting flying backhauls of unmanned aerial vehicles to enhance vehicular networks with fixed 5G NR infrastructure

نویسندگان

چکیده

This paper investigates moving networks of Unmanned Aerial Vehicles to extend connectivity and guarantee data rates in the 5G by analysing possible hovering locations based on limitations such as flight time coverage. The authors provide analytic bounds requirements terms extension for vehicular served fixed Enhanced Mobile BroadBand infrastructure, where both infrastructures are modelled using stochastic fractal geometry a model urban environment. prove that assuming n mobile nodes (distributed according hyperfractal distribution dimension dF) an average ρ Next Generation NodeB (gNBs), distributed like dr if = nθ with θ > dr/4 letting tending infinity (to reflect megalopolis cities), then fraction not covered gNB tends zero O − d F 2 r $O\left({n}^{-\frac{\left({d}_{F}-2\right)}{{d}_{r}}\left(2\theta -\frac{{d}_{r}}{2}\right)}\right)$ . Interestingly, number drones, needed connect each node gNBs, is comparable isolated nodes. complete characterisation proving when < proportion zero. offer insights placement ‘garage drones’, home location these nomadic infrastructure nodes, minimise ‘flight-to-coverage time’. fast procedure select relays will be garages (and store drones) order delay. authors’ analytical results confirmed simulations Matlab.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Solving Infrastructure Monitoring Problems with Multiple Heterogeneous Unmanned Aerial Vehicles

A number of critical infrastructures, such as gas or oil pipelines operate in a sensitive environment and any damage done to the infrastructure significantly harms the surrounding fauna and flora and poisons water supplies. The infrastructure thus needs to be monitored and any damage or failure has to be detected and reported as quickly as possible. We focus on the enhancement of the monitoring...

متن کامل

Automatic Crack Detection in Built Infrastructure Using Unmanned Aerial Vehicles

This paper addresses the problem of crack detection which is essential for health monitoring of built infrastructure. Our approach includes two stages, data collection using unmanned aerial vehicles (UAVs) and crack detection using histogram analysis. For the data collection, a 3D model of the structure is first created by using laser scanners. Based on the model, geometric properties are extra...

متن کامل

Reconfigurable Unmanned Aerial Vehicles

Unmanned Aerial Vehicles (UAVs) have been developing dramatically due to wars and miniaturisation of technology, which has made the UAV industry a very lucrative business. Research organisations have been funded by various research committees or military groups to push UAV developments at a very fast pace. Although these UAVs are high in capability, they are limited to a single use application ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IET smart cities

سال: 2022

ISSN: ['2631-7680']

DOI: https://doi.org/10.1049/smc2.12034