Energy Efficient Altitude Optimization of an Aerial Access Point

In this paper, we propose an energy-efficient optimal altitude for an aerial access point (AAP), which acts as a flying base station to serve a set of ground user equipment (UE). Since the ratio of total energy consumed by the aerial vehicle to the communication energy is very large, we include the...

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Bibliographic Details
Published in:IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops (Print) pp. 1 - 7
Main Authors: Babu, Nithin, Ntougias, Konstantinos, Papadias, Constantinos B, Popovski, Petar
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2020
Subjects:
5G mobile communication
altitude Optimization
Base stations
Conferences
Energy consumption
Global energy efficiency
monotonic optimization
Optimization
Programming
Rotors
sequential convex programming
UAV communication
ISSN:2166-9589
Online Access:Get full text
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Summary:In this paper, we propose an energy-efficient optimal altitude for an aerial access point (AAP), which acts as a flying base station to serve a set of ground user equipment (UE). Since the ratio of total energy consumed by the aerial vehicle to the communication energy is very large, we include the aerial vehicle's energy consumption in the problem formulation. After considering the energy consumption model of the aerial vehicle, our objective is translated into a non-convex optimization problem of maximizing the global energy efficiency (GEE) of the aerial communication system, subject to altitude and minimum individual data rate constraints. At first, the non-convex fractional objective function is solved by using sequential convex programming (SCP) optimization technique. To compare the result of SCP with the global optimum of the problem, we reformulate the initial problem as a monotonic fractional optimization problem (MFP) and solve it using the polyblock outer approximation (PA) algorithm. Numerical results show that the candidate solution obtained from SCP is the same as the global optimum found using the monotonic fractional programming technique. Furthermore, the impact of the aerial vehicle's energy consumption on the optimal altitude determination is also studied.
ISSN:2166-9589
DOI:10.1109/PIMRC48278.2020.9217265