@inbook{7f0fc6a90fab4a2b85ddc1448332e147,
title = "Energy consumption fairness for multiple flying base stations",
abstract = "Unmanned Aerial Vehicles (UAVs) operating as Flying Base Stations (FBSs) are emerging as a mean of furthering network capabilities in beyond 5G networks especially in terms of capacity and coverage. In such UAV assisted 5G networks the bottleneck becomes the inherent limited energy availability of the FBSs. In this paper the focus is on the provision of trajectories with fair energy consumption (EC) allocation between different FBSs that utilize a single macro-base station (BS) as their depot to serve end users. Despite the recent significant research efforts in FBS trajectory optimization schemes little attention has been placed in studying fair trajectories in terms of, inter alia, energy consumption. To this end, a number of optimal (using linear and non-linear mathematical programming formulations) and heuristic algorithms are presented to create fair EC allocation trajectories for FBSs. Via a wide set of numerical investigations a systematic comparison is presented of the different fair EC trajectory optimization algorithms as with respect to Jain's fairness index, computational times and optimality gap.",
keywords = "Energy consumption, Fairness, Flying base station, UAV, Unmanned Aerial Vehicle",
author = "Jongyul Lee and Vasilis Friderikos",
year = "2020",
month = aug,
doi = "10.1109/PIMRC48278.2020.9217252",
language = "English",
series = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020",
note = "31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020 ; Conference date: 31-08-2020 Through 03-09-2020",
}