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 language | English |
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Journal | IEEE Journal on Selected Areas in Communications |
Early online date | 14 Jun 2021 |
DOIs | |
Publication status | Early online date - 14 Jun 2021 |