Resource Allocation for Machine-to-Machine Communications with Unmanned Aerial Vehicles

  title={Resource Allocation for Machine-to-Machine Communications with Unmanned Aerial Vehicles},
  author={Mehdi Naderi Soorki and Mohammad Mahdi Mozaffari and Walid Saad and Mohammad Hossein Manshaei and Hossein Saidi},
  journal={2016 IEEE Globecom Workshops (GC Wkshps)},
In this paper, a novel framework for power-efficient, cluster- based machine-to-machine (M2M) communications is proposed. In the studied model, a number of unmanned aerial vehicles (UAVs) are used as aerial base stations to collect data from the cluster heads (CHs) of a set of M2M clusters. To minimize the CHs' transmit power while satisfying the rate requirements of M2M devices, an optimal scheduling and resource allocation mechanism for CH-UAV communications is proposed. First, using the… CONTINUE READING
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