Autonomous UAV Base Stations for Next Generation Wireless Networks: A Deep Learning Approach

07/29/2021
by   Ali Murat Demirtas, et al.
0

To address the ever-growing connectivity demands of wireless communications, the adoption of ingenious solutions, such as Unmanned Aerial Vehicles (UAVs) as mobile Base Stations (BSs), is imperative. In general, the location of a UAV Base Station (UAV-BS) is determined by optimization algorithms, which have high computationally complexities and place heavy demands on UAV resources. In this paper, we show that a Convolutional Neural Network (CNN) model can be trained to infer the location of a UAV-BS in real time. In so doing, we create a framework to determine the UAV locations that considers the deployment of Mobile Users (MUs) to generate labels by using the data obtained from an optimization algorithm. Performance evaluations reveal that once the CNN model is trained with the given labels and locations of MUs, the proposed approach is capable of approximating the results given by the adopted optimization algorithm with high fidelity, outperforming Reinforcement Learning (RL)-based approaches. We also explore future research challenges and highlight key issues.

READ FULL TEXT

page 1

page 2

page 4

page 6

research
12/03/2018

UAV Base Station Location Optimization for Next Generation Wireless Networks: Overview and Future Research Directions

Unmanned aerial vehicles mounted base stations (UAV-BSs) are expected to...
research
03/03/2020

Intelligent UAV Base Station Selection in Urban Environments: A Supervised Learning Approach

When Unmanned Aerial Vehicles (UAVs) connect into the cellular network, ...
research
06/01/2021

Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning

Unmanned aerial vehicles serving as aerial base stations (UAV-BSs) can b...
research
11/10/2020

On the Downlink Performance of RSMA-based UAV Communications

The use of unmanned aerial vehicles (UAVs) as base stations (BSs) is env...
research
05/13/2020

UAVs as Mobile Base Station

The research presented here has been conducted as part of professor Fabr...
research
12/29/2021

Altitude Optimization of UAV Base Stations from Satellite Images Using Deep Neural Network

It is expected that unmanned aerial vehicles (UAVs) will play a vital ro...
research
02/04/2022

5G Network on Wings: A Deep Reinforcement Learning Approach to UAV-based Integrated Access and Backhaul

Fast and reliable wireless communication has become a critical demand in...

Please sign up or login with your details

Forgot password? Click here to reset