HAPS-SMBS 3D installation for 5G FANET performance optimisation using a DNN, WCOP and NetSim-based scheme Online publication date: Mon, 05-Sep-2022
by Joyeeta Rani Barai; Attaphongse Taparugssanagorn
International Journal of Sensor Networks (IJSNET), Vol. 40, No. 1, 2022
Abstract: High altitude platform stations (HAPSs) can be installed as flying super macro base stations (SMBSs) to serve the existing terrestrial infrastructure as a flying ad hoc network (FANET) keeping enhanced and continuous wireless network connections in normal and disaster scenarios. This dynamic process becomes inefficient if the mobility and locations of the user equipment (UE) are unknown and uncertain. Although increasing the number of HAPSs provides more user connectivity, it is too expensive and impractical. Hence, installations of the available HAPSs in the optimum positions can solve the problem in cost effective manner. This paper proposes a novel combinational scheme consisting of the two following stages, i.e., the deep learning (DL)-based forecasting of the ground user (GU) locations and the weighted combinatorial optimisation problem (WCOP)-based HAPS-SMBS positioning to optimise the 5G FANET performances in both normal and disaster scenarios.
Online publication date: Mon, 05-Sep-2022
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Sensor Networks (IJSNET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com