• DocumentCode
    1802372
  • Title

    Decode-and-cancel for interference cancellation in a three-node full-duplex network

  • Author

    Jingwen Bai ; Sabharwal, Ashutosh

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
  • fYear
    2012
  • fDate
    4-7 Nov. 2012
  • Firstpage
    1285
  • Lastpage
    1289
  • Abstract
    In this paper, we study a three-node full-duplex network, where the infrastructure node has simultaneous up-and downlink communication in the same frequency band with two half-duplex nodes. In addition to self-interference at the full-duplex infrastructure node, the three-node network has to contend with the inter-node interference between the two half-duplex nodes. We characterize the impact of inter-node interference on the network achievable sum rate with and without a side-channel between the nodes. We propose and study a simple scheme called decode-and-cancel, which uses the side-channel for improved interference cancellation. We derive the sum rate for both Gaussian and fading channels. The results show that as signal-to-noise ratio becomes large, decode-and-cancel asymptotically achieves a multiplexing gain of 2 by means of optimal power allocation. Furthermore, the proposed decode-and-cancel scheme has the highest impact when the signal and inter-node interference have commensurate power in which case schemes without side channel fail to achieve any full-duplex multiplexing gain.
  • Keywords
    Gaussian channels; fading channels; interference (signal); interference suppression; Gaussian channel; decode and cancel; fading channel; full duplex infrastructure node; full duplex multiplexing gain; full duplex network; half duplex node; inter node interference; interference cancellation; internode interference; optimal power allocation; self interference; signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-5050-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2012.6489231
  • Filename
    6489231