Joint Optimisation of Real-time Deployment and Resource Allocation for UAV-Aided Disaster Emergency Communications

Tan Do-Duy, Long D. Nguyen, Trung Q. Duong, Saeed Khosravirad, Holger Claussen

Research output: Contribution to journalArticlepeer-review

125 Citations (Scopus)
554 Downloads (Pure)

Abstract

In this work, we consider a joint optimisation of real-time deployment and resource allocation scheme for UAV aided relay systems in emergency scenarios such as disaster relief and public safety missions. In particular, to recover the network within a disaster area, we propose a fast K-means based user clustering model and jointly optimal power and time transferring allocation which can be applied in the real system by using UAVs as flying base stations for real-time recovering and maintaining network connectivity during and after disasters. Under the stringent QoS constraints, we then provide centralised and distributed models to maximise the energy efficiency of the considered network. Numerical results are provided to illustrate the effectiveness of the proposed computational approaches in terms of network energy efficiency and execution time for solving the resource allocation problem in real-time scenarios. We demonstrate that our proposed algorithm outperforms other benchmark schemes
Original languageEnglish
JournalIEEE Journal on Selected Areas in Communications
Early online date14 Jun 2021
DOIs
Publication statusEarly online date - 14 Jun 2021

Fingerprint

Dive into the research topics of 'Joint Optimisation of Real-time Deployment and Resource Allocation for UAV-Aided Disaster Emergency Communications'. Together they form a unique fingerprint.

Cite this