• DocumentCode
    266940
  • Title

    Distributed resource allocation in full-duplex relaying networks with wireless virtualization

  • Author

    Gang Liu ; Yu, F. Richard ; Hong Ji ; Leung, Victor C. M.

  • Author_Institution
    Key Lab. of Universal Wireless Comm, Beijing Univ. of Posts & Telecom, Beijing, China
  • fYear
    2014
  • fDate
    8-12 Dec. 2014
  • Firstpage
    4959
  • Lastpage
    4964
  • Abstract
    Wireless network virtualization has attracted a lot of interests recently. Furthermore, recent advances of self-interference cancellation techniques enable full-duplex relaying (FDR) systems, which transmit and receive simultaneously in the same frequency band with high spectrum efficiency. In this paper, we propose a resource allocation scheme for virtualized FDR networks. The resource allocation problem is formulated as a mixed combinatorial and non-convex optimization problem, which involves high computational complexity. Therefore, we transfer the original problem to a convex optimization problem, which can be solved efficiently. In addition, with recent advances in alternating direction method of multipliers (ADMM), we develop an efficient ADMM-based distributed resource allocation algorithm. Extensive simulations are presented to verify the effectiveness of the proposed scheme.
  • Keywords
    concave programming; convex programming; interference suppression; relay networks (telecommunication); virtualisation; ADMM based distributed resource allocation problem; FDR systems; alternating direction method of multipliers; convex optimization problem; full-duplex relaying networks; mixed combinatorial and nonconvex optimization problem; self-interference cancellation techniques; wireless network virtualization; Indium phosphide; Optimization; Resource management; Vectors; Virtualization; Wireless networks; ADMM; Wireless network virtualization; full-duplex relaying; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2014 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2014.7037591
  • Filename
    7037591