Sammendrag
Mobile base stations on board unmanned aerial vehicles (UAVs)
promise to deliver connectivity to those areas where the terrestrial
infrastructure is overloaded, damaged, or absent. A fundamental
problem in this context involves determining a minimal set of locations in 3D space where such aerial base stations (ABSs) must be
deployed to provide coverage to a set of users. While nearly all existing approaches rely on average characterizations of the propagation medium, this work develops a scheme where the actual channel
information is exploited by means of a radio tomographic map. A
convex optimization approach is presented to minimize the number
of required ABSs while ensuring that the UAVs do not enter nofly regions. A simulation study reveals that the proposed algorithm
markedly outperforms its competitors.
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