Hybrid Cell Outage Compensation in 5g Networks: Sky-Ground Approach
Abstract
Unmanned Aerial Vehicles (UAVs) enabled communications is a novel and attractive area of research in cellular communications. It provides several degrees of freedom in time, space and it can be used for multiple purposes. This is why wide deployment of UAVs has the potential to be integrated in the upcoming 5G standard. In this paper, we present a novel cell outage compensation (COC) framework to mitigate the effect of the failure of any outdoor Base Station (BS) in 5G networks. Within our framework, the outage compensation is done with the assistance of sky BSs (UAVs) and Ground BSs (GBSs). An optimization problem is formulated to jointly minimize the energy of the Drone BSs (DBSs) and GBSs involved in the healing process which accordingly will minimize the number of DBSs and determine their optimal 2D positions. In addition, the DBSs will mainly heal the users that the GBS cannot heal due to capacity issues. Simulation results show that the proposed hybrid approach outperforms the conventional COC approach. Moreover, all users receive the minimum quality of service in addition to minimizing the UAVs' consumed energy.
Recommended Citation
M. Y. Selim et al., "Hybrid Cell Outage Compensation in 5g Networks: Sky-Ground Approach," Proceedings of the 2018 IEEE International Conference on Communications (2018, Kansas City, MO), Institute of Electrical and Electronics Engineers (IEEE), May 2018.
The definitive version is available at https://doi.org/10.1109/ICC.2018.8422155
Meeting Name
2018 IEEE International Conference on Communications, ICC 2018 (2018: May 20-24, Kansas City, MO)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
5G; Cell Outage Compensation; Dronebased Communications; Self-healing; Unmanned Aerial Behicles (UAVs)
International Standard Book Number (ISBN)
978-1-5386-3180-5
International Standard Serial Number (ISSN)
1938-1883
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 May 2018