@article{discovery10077865,
           pages = {1741--1753},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
          volume = {6},
         journal = {IEEE Internet of Things Journal},
           title = {Joint UAV hovering altitude and power control for space-air-ground iot networks},
            year = {2019},
           month = {April},
          number = {2},
             url = {https://doi.org/10.1109/JIOT.2018.2875493},
          author = {Wang, J and Jiang, C and Wei, Z and Pan, C and Zhang, H and Ren, Y},
            issn = {2327-4662},
        abstract = {Unmanned aerial vehicles (UAVs) have been widely
used in both military and civilian applications. Equipped with diverse communication payloads, UAVs cooperating with satellites
and base stations (BSs) constitute a space-air-ground three-tier
heterogeneous network, which are beneficial in terms of both
providing the seamless coverage as well as of improving the
capacity for increasingly prosperous Internet of Things (IoT)
networks. However, cross-tier interference may be inevitable
among these tightly embraced heterogeneous networks when
sharing the same spectrum. The power association problem
in satellite, UAV and macrocell three-tier networks becomes
a critical issue. In our paper, we propose a two-stage joint
hovering altitude and power control solution for the resource
allocation problem in UAV networks considering the inevitable
cross-tier interference from space-air-ground heterogeneous networks. Furthermore, Lagrange dual decomposition and concaveconvex procedure (CCP) method are used to solve this problem,
followed by a low-complexity greedy search algorithm. Finally,
simulation results show the effectiveness of our proposed twostage joint optimization algorithm in terms of UAV network's
total throughput.},
        keywords = {UAV communication networks, IoT network,
power control, cross-tier interference, heterogeneous networks,
satellite.}
}