Comparative Study for Coordinating Multiple Unmanned HAPS for Communications Area Coverage.

Anicho, Ogbonnaya and Charlesworth, Philip B and Baicher, Gurvinder S and Nagar, Atulya K. (2019) Comparative Study for Coordinating Multiple Unmanned HAPS for Communications Area Coverage. In: The 2019 International Conference on Unmanned Aircraft Systems, June 11-14, 2019, Atlanta, GA, USA. (Accepted for Publication)

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Abstract

This work compares the application of Reinforcement Learning (RL) and Swarm Intelligence (SI) based methods for resolving the problem of coordinating multiple High Altitude Platform Stations (HAPS) for communications area coverage. Swarm coordination techniques are essential for developing autonomous capabilities for multiple HAPS/UAS control and management. This paper examines the performance of artificial intelligence (AI) capabilities of RL and SI for autonomous swarm coordination. In this work, it was observed that the RL approach showed superior overall peak user coverage with unpredictable coverage dips; while the SI based approach demonstrated lower coverage peaks but better coverage stability and faster convergence rates.

Item Type: Conference or Workshop Item (Paper)
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Ogbonnaya Anicho
Date Deposited: 07 Jun 2019 09:07
Last Modified: 30 Jun 2019 05:35
URI: http://hira.hope.ac.uk/id/eprint/2885

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