Klaine, P. V. , Nadas, J. P.B., Souza, R. D. and Imran, M. A. (2018) Distributed drone base station positioning for emergency cellular networks using reinforcement learning. Cognitive Computation, 10(5), pp. 790-804. (doi: 10.1007/s12559-018-9559-8)
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Abstract
Due to the unpredictability of natural disasters, whenever a catastrophe happens, it is vital that not only emergency rescue teams are prepared, but also that there is a functional communication network infrastructure. Hence, in order to prevent additional losses of human lives, it is crucial that network operators are able to deploy an emergency infrastructure as fast as possible. In this sense, the deployment of an intelligent, mobile, and adaptable network, through the usage of drones—unmanned aerial vehicles—is being considered as one possible alternative for emergency situations. In this paper, an intelligent solution based on reinforcement learning is proposed in order to find the best position of multiple drone small cells (DSCs) in an emergency scenario. The proposed solution’s main goal is to maximize the amount of users covered by the system, while drones are limited by both backhaul and radio access network constraints. Results show that the proposed Q-learning solution largely outperforms all other approaches with respect to all metrics considered. Hence, intelligent DSCs are considered a good alternative in order to enable the rapid and efficient deployment of an emergency communication network.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Imran, Professor Muhammad and Valente Klaine, Mr Paulo |
| Authors: | Klaine, P. V., Nadas, J. P.B., Souza, R. D., and Imran, M. A. |
| College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Journal Name: | Cognitive Computation |
| Publisher: | Springer |
| ISSN: | 1866-9956 |
| ISSN (Online): | 1866-9964 |
| Published Online: | 22 May 2018 |
| Copyright Holders: | Copyright © 2018 The Authors |
| First Published: | First published in Cognitive Computation 10(5):790-804 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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