DeepAI AI Chat
Log In Sign Up

Machine Learning for Predictive On-Demand Deployment of UAVs for Wireless Communications

04/30/2018
by   Qianqian Zhang, et al.
HUAWEI Technologies Co., Ltd.
University of Oulu
Virginia Polytechnic Institute and State University
0

In this paper, a novel machine learning (ML) framework is proposed for enabling a predictive, efficient deployment of unmanned aerial vehicles (UAVs), acting as aerial base stations (BSs), to provide on-demand wireless service to cellular users. In order to have a comprehensive analysis of cellular traffic, an ML framework based on a Gaussian mixture model (GMM) and a weighted expectation maximization (WEM) algorithm is introduced to predict the potential network congestion. Then, the optimal deployment of UAVs is studied to minimize the transmit power needed to satisfy the communication demand of users in the downlink, while also minimizing the power needed for UAV mobility, based on the predicted cellular traffic. To this end, first, the optimal partition of service areas of each UAV is derived, based on a fairness principle. Next, the optimal location of each UAV that minimizes the total power consumption is derived. Simulation results show that the proposed ML approach can reduce the required downlink transmit power and improve the power efficiency by over 20 compared with an optimal deployment of UAVs with no ML prediction.

READ FULL TEXT

page 1

page 2

page 3

page 4

03/02/2020

Machine Learning for Predictive Deployment of UAVs with Multiple Access

In this paper, a machine learning based deployment framework of unmanned...
11/03/2018

Predictive Deployment of UAV Base Stations in Wireless Networks: Machine Learning Meets Contract Theory

In this paper, a novel framework that enables a predictive deployment of...
05/22/2021

SDN assisted UAV communication systems : Efficient Deployment Strategies

Recently, Unmanned Aerial Vehicle (UAV) based communications systems hav...
09/17/2019

Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs

In this paper, the problem of optimizing the deployment of unmanned aeri...
07/05/2018

On-Demand Deployment of Multiple Aerial Base Stations for Traffic Offloading and Network Recovery

Unmanned aerial vehicles (UAVs) are being utilized for a wide spectrum o...
11/18/2019

Optimal deployments of UAVs with directional antennas for a power-efficient coverage

To provide a reliable wireless uplink for users in a given ground area, ...
07/28/2020

Energy Efficiency and Hover Time Optimization in UAV-based HetNets

In this paper, we investigate the downlink performance of a three-tier h...