Title: HAPS-SMBS 3D installation for 5G FANET performance optimisation using a DNN, WCOP and NetSim-based scheme
Authors: Joyeeta Rani Barai; Attaphongse Taparugssanagorn
Addresses: ICT Department, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, 58 Moo 9, Km. 42, Paholyothin Highway, Klong Luang, Pathum Thani, 12120, Thailand ' ICT Department, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, 58 Moo 9, Km. 42, Paholyothin Highway, Klong Luang, Pathum Thani, 12120, Thailand
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.
Keywords: super macro base station; SMBS; high altitude platform station; HAPS; DNN; weighted combinatorial optimisation problem; WCOP; NetSim; 5G.
International Journal of Sensor Networks, 2022 Vol.40 No.1, pp.34 - 44
Received: 07 Nov 2021
Accepted: 06 Jan 2022
Published online: 05 Sep 2022 *