Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks

The unmanned aerial vehicle (UAV) communication is a potential technology to meet the excessive next-generation cellular users’ demand due to its reliable connectivity and cost-effective deployment. However, UAV communications have to be energy efficient so that it can save energy. Thus,...

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Autores principales:	Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2020
Materias:	UAV throughput UAV propulsion energy energy-efficiency UAV-user scheduling Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/dde1866b9af140969c2fd09afaad23e4
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spelling	oai:doaj.org-article:dde1866b9af140969c2fd09afaad23e42021-11-19T00:02:57ZEnergy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks2169-353610.1109/ACCESS.2020.2969357https://doaj.org/article/dde1866b9af140969c2fd09afaad23e42020-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8968388/https://doaj.org/toc/2169-3536The unmanned aerial vehicle (UAV) communication is a potential technology to meet the excessive next-generation cellular users’ demand due to its reliable connectivity and cost-effective deployment. However, UAV communications have to be energy efficient so that it can save energy. Thus, the UAV flies sufficiently long enough time to serve the ground users with limited on-board energy. In this paper, we investigate an energy-efficient UAV communication via designing the UAV trajectory path. We consider throughput and the UAV propulsion energy consumption jointly. We assume that the UAV flies at a fixed altitude such that it can avoid tall obstacles. A binary decision variable is assigned to schedule UAV-to-user communication. First, we derive the UAV-to-user channel model based on the line of sight and non-line of sight communication links and jointly optimize the trajectory, transmit power, and the speed of UAV; and UAV-to-user scheduling to maximize throughput. Then, we apply the UAV propulsion energy consumption, which is a function of the UAV trajectory and speed. Finally, we formulate the UAV energy-efficiency maximization problem, which is defined as the total bits of information sent to the ground users by consuming the UAV energy for a given UAV flight duration. The formulated energy-efficiency maximization problem is non-convex, fractional, and mixed-integer non-linear programming in nature. We propose an efficient algorithm based on successive convex approximation and classical Dinkelbach method to achieve the optimal solution of energy-efficient UAV. We present simulation results to validate the efficacy of our proposed algorithms. The results show a significant performance improvement compared to the benchmark methods.Shakil AhmedMostafa Zaman ChowdhuryYeong Min JangIEEEarticleUAVthroughputUAV propulsion energyenergy-efficiencyUAV-user schedulingElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 8, Pp 21215-21225 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	UAV throughput UAV propulsion energy energy-efficiency UAV-user scheduling Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	UAV throughput UAV propulsion energy energy-efficiency UAV-user scheduling Electrical engineering. Electronics. Nuclear engineering TK1-9971 Shakil Ahmed Mostafa Zaman Chowdhury Yeong Min Jang Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks
description	The unmanned aerial vehicle (UAV) communication is a potential technology to meet the excessive next-generation cellular users’ demand due to its reliable connectivity and cost-effective deployment. However, UAV communications have to be energy efficient so that it can save energy. Thus, the UAV flies sufficiently long enough time to serve the ground users with limited on-board energy. In this paper, we investigate an energy-efficient UAV communication via designing the UAV trajectory path. We consider throughput and the UAV propulsion energy consumption jointly. We assume that the UAV flies at a fixed altitude such that it can avoid tall obstacles. A binary decision variable is assigned to schedule UAV-to-user communication. First, we derive the UAV-to-user channel model based on the line of sight and non-line of sight communication links and jointly optimize the trajectory, transmit power, and the speed of UAV; and UAV-to-user scheduling to maximize throughput. Then, we apply the UAV propulsion energy consumption, which is a function of the UAV trajectory and speed. Finally, we formulate the UAV energy-efficiency maximization problem, which is defined as the total bits of information sent to the ground users by consuming the UAV energy for a given UAV flight duration. The formulated energy-efficiency maximization problem is non-convex, fractional, and mixed-integer non-linear programming in nature. We propose an efficient algorithm based on successive convex approximation and classical Dinkelbach method to achieve the optimal solution of energy-efficient UAV. We present simulation results to validate the efficacy of our proposed algorithms. The results show a significant performance improvement compared to the benchmark methods.
format	article
author	Shakil Ahmed Mostafa Zaman Chowdhury Yeong Min Jang
author_facet	Shakil Ahmed Mostafa Zaman Chowdhury Yeong Min Jang
author_sort	Shakil Ahmed
title	Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks
title_short	Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks
title_full	Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks
title_fullStr	Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks
title_full_unstemmed	Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks
title_sort	energy-efficient uav-to-user scheduling to maximize throughput in wireless networks
publisher	IEEE
publishDate	2020
url	https://doaj.org/article/dde1866b9af140969c2fd09afaad23e4
work_keys_str_mv	AT shakilahmed energyefficientuavtouserschedulingtomaximizethroughputinwirelessnetworks AT mostafazamanchowdhury energyefficientuavtouserschedulingtomaximizethroughputinwirelessnetworks AT yeongminjang energyefficientuavtouserschedulingtomaximizethroughputinwirelessnetworks
_version_	1718420699653079040

Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks

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