Handover prediction for aircraft dual connectivity using model predictive control

Simple item page
dc.contributor.authorMondal, Sabyasachi
dc.contributor.authorAl-Rubaye, Saba
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2021-04-12T16:35:24Z
dc.date.available2021-04-12T16:35:24Z
dc.date.issued2021-03-17
dc.description.abstractProviding connectivity to aircraft such as flying taxis is a significant challenge for tomorrow’s aviation communication systems. One major problem is to provide ground to air (G2A) connectivity, especially in the airport, rural and sub-rural areas where the number of radio ground stations is not adequate to support the data link resulting in frequent interruption. Hence, effective handover decision-making is necessary to provide uninterrupted services to aircraft while moving from one domain to another. However, the existing handover decision is not efficient enough to solve the aircraft connectivity in such airspace. To overcome this problem, a prediction based optimal solution to handover decision making (handover prediction) would be appropriate to provide seamless dual connectivity to aircraft. In this paper, the handover prediction problem is formulated as a constrained optimization problem in the framework of the model for predictive control (MPC). The cost function and the constraints are derived in terms of dual connectivity variables over the prediction horizon. This problem is solved using a two-dimensional genetic algorithm (2D-GA) to obtain the predictive optimal handover solution. Simulation results show that the proposed dual connectivity handover can significantly improve the handover success probability. Finally, our results show that network densification and predictive control model have improved aircraft performance.en_UK
dc.identifier.citationMondal S, Al-Rubaye S, Tsourdos A. (2021) Handover prediction for aircraft dual connectivity using model predictive control. IEEE Access, Volume 9, 2021, pp. 44463-44475en_UK
dc.identifier.issn2169-3536
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2021.3066554
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16556
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjecttwo-dimensional genetic algorithm (2D-GA)en_UK
dc.subjectmodel predictive controlen_UK
dc.subjectdual connectivityen_UK
dc.subjectHandoveren_UK
dc.titleHandover prediction for aircraft dual connectivity using model predictive controlen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Handover_prediction_for_aircraft_dual_connectivity-2021.pdf
Size:
3.36 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)