Airport connectivity optimization for 5G ultra-dense networks

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dc.contributor.authorAl-Rubaye, Saba
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2020-07-09T16:28:53Z
dc.date.available2020-07-09T16:28:53Z
dc.date.freetoread2020-07-09
dc.date.issued2020-06-08
dc.description.abstractThe rapid increase of air traffic demand and complexity of radio access network motivate developing scalable wireless communications by adopting system intelligence. The lack of adaptive reconfiguration in radio transmission systems may cause dramatic impacts on the traffic management concerning congestion and demand-capacity imbalances driving the industry to jointly access licensed and unlicensed bands for improved airport connectivity. Therefore, intelligent system is embedded into fifth generation (5G) ultra-dense networks (UDNs) to provision dense and irregular deployments that maintain extended coverage and also to improve the energy-efficiency for the entire airport network providing high speed services. To define the technical aspects of this solution, this paper addresses new intelligent technique that configures the coverage and capacity factors of radio access network considering the changes in air traffic demands. This technique is analysed through mathematical models that employ power consumption constraints to support dynamic traffic control requirements to improve the overall network capacity. The presented problem is formulated and exactly solved for medium or large airport air transportation network. The power optimization problem is solved using linear programming with careful consideration to latency and energy efficiency factors. Specifically, an intelligent pilot power method is adopted to maintain the connectivity throughout multi-interface technologies by assuming minimum power requirements. Numerical and system-level analysis are conducted to validate the performance of the proposed schemes for both licenced macrocell Long-Term Evolution (LTE) and unlicensed wireless fidelity (WiFi) topologies. Finally, the insights of problem modelling with intelligent techniques provide significant advantages at reasonable complexity and brings the great opportunity to improve the airport network capacityen_UK
dc.identifier.citationAl-Rubaye S, Tsourdos A. (2020) Airport connectivity optimization for 5G ultra-dense networks. IEEE Transactions on Cognitive Communications and Networking, Volume 6, Issue 3, September 2020, pp. 980-989en_UK
dc.identifier.cris27451414
dc.identifier.issn2379-8920
dc.identifier.urihttps://doi.org/10.1109/TCCN.2020.3000509
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/15546
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectPower demanden_UK
dc.subjectOptimizationen_UK
dc.subjectAerospace controlen_UK
dc.subjectMacrocell networksen_UK
dc.subjectAirportsen_UK
dc.subjectAircraften_UK
dc.subjectBase stationsen_UK
dc.titleAirport connectivity optimization for 5G ultra-dense networksen_UK
dc.typeArticleen_UK

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