• DocumentCode
    30731
  • Title

    Medium Access Control for Unmanned Aerial Vehicle (UAV) Ad-Hoc Networks With Full-Duplex Radios and Multipacket Reception Capability

  • Author

    Yegui Cai ; Yu, F. Richard ; Jun Li ; Yifeng Zhou ; Lamont, Lisa

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • Volume
    62
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    390
  • Lastpage
    394
  • Abstract
    Recent advances in interference cancellation and signal-processing techniques can enable full-duplex radios and multipacket reception (MPR), which will have significant impact on medium access control (MAC) schemes. In this paper, we propose a MAC scheme in unmanned aerial vehicle (UAV) ad-hoc networks with full-duplex radios and MPR. To efficiently handle the highly mobile environment of a UAV ad-hoc network, a token-based technique is used to update information in the network as well. The MAC schemes in the presence of perfect and imperfect channel state information (CSI) are formulated as a combinatorial optimization problem and a discrete stochastic optimization problem, respectively. Simulation results show the effectiveness of the proposed MAC.
  • Keywords
    access protocols; ad hoc networks; autonomous aerial vehicles; interference suppression; mobile radio; optimisation; stochastic processes; CSI; MAC scheme; MPR; UAV; discrete stochastic optimization problem; full-duplex radio; high mobile environment; imperfect channel state information; interference cancellation; medium access control; multipacket reception capability; signal-processing technique; unmanned aerial vehicle ad-hoc networks; Ad hoc networks; Channel estimation; Delay; Interference; Optimization; Signal to noise ratio; Throughput; Full-duplex radio; media access control; multipacket reception (MPR); quality of service (QoS); unmanned aerial vehicles (UAVs);
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2012.2211905
  • Filename
    6262501