Abstract

This paper proposes a positioning strategy for a fleet of unmanned aerial vehicles (UAVs) airlifting wireless base stations driven by communication constraints. First, two schedulers that model the distribution of resources among users within a single cell are analyzed. Then, an UAV autonomous positioning strategy is developed, based on a fair distribution of the radio resources among all the users of all the cells in a given scenario, in such a way that the user bitrate is the same regardless the users’ distribution and spatial density. Moreover, two realistic constraints are added related to capacity of the backhaul link among the UAVs and the ground station: the bitrate delivered per UAV and the total backhaul bandwidth shared among all the UAVs. Additionally, an energy consumption model is considered to evaluate the efficiency and viability of the proposed strategy. Finally, numerical results in different scenarios are provided to assess both the schedulers performance and the proposed coordinated positioning strategy for the UAVs.

Highlights

  • The development of new strategies to enhance the capacity of cellular subscribers has been an important research field for many years

  • While many systems have already been developed, aerial communications based on unmanned aerial vehicles (UAVs) that are used as airborne base stations (ABBSs), are gaining interest

  • As opposed to previous works, the decisions concerning the new 3-D positions of the UAVs are taken under a communication criterion, namely the maximization of the rate delivered to the users subject to fairness and a maximum backhaul bandwidth to be shared among all the UAVs following a frequency division multiplexing (FDM) approach

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Summary

Introduction

The development of new strategies to enhance the capacity of cellular subscribers has been an important research field for many years. As opposed to previous works, the decisions concerning the new 3-D positions of the UAVs are taken under a communication criterion, namely the maximization of the rate delivered to the users subject to fairness and a maximum backhaul bandwidth to be shared among all the UAVs following a frequency division multiplexing (FDM) approach Some other challenges such as the specific payload and the regulations limiting the altitudes of the ABBSs are deferred to a future work.

Scenario
Channel Model
Single Cell User Scheduling
Round Robin Scheduler
Equal Rate Scheduler
Positioning and Communication for a Fleet of UAVs
Problem Formulation
Derivation of the UAV Trajectories
Gradient of the Cost Function
Gradient of the Wireless Backhaul Constraint Functions
Practical Implementation Aspects
Energy Consumption
Vertical Flight
Forward Flight
Evaluation and Results
Scheduling Evaluation
Positioning Strategy Evaluation
Comparison to Previous Works
Spiral Algorithm
Comparison
Non-Static Scenarios
One UAV Decays
Displacement of the Concentration of Users
Scattering of the Concentration of Users
Energy Consumption Evaluation
Conclusions
Full Text
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