• DocumentCode
    3609886
  • Title

    Wireless Resource Virtualization With Device-to-Device Communication Underlaying LTE Network

  • Author

    Moubayed, Abdallah ; Shami, Abdallah ; Lutfiyya, Hanan

  • Author_Institution
    Western Univ., London, ON, Canada
  • Volume
    61
  • Issue
    4
  • fYear
    2015
  • Firstpage
    734
  • Lastpage
    740
  • Abstract
    Wireless resource virtualization is a potential solution for meeting the increasing demand for mobile data services. Virtualization allows for more efficient utilization of the spectrum, reduces capital expenditures and operating expenditures, and can support higher peak rates. Device-to-device (D2D) communication as an underlay to cellular networks is also a potential solution to satisfy the data demand. Due to the proximity of devices and thus the higher signal-to-interference and noise ratio, higher data rates can be achieved using D2D communication. This is beneficial in cases of multimedia sharing where data can be broadcast to several nearby users. However, the interference that D2D pairs introduce to cellular users should be below a target threshold so as not to reduce their performance. In this paper, the problem of wireless resource virtualization with D2D communication underlaying the LTE network is formulated. Since the problem is an integer non-linear programming problem, it is divided into two smaller linear integer programs that are solved to optimality. Two lower complexity heuristic algorithms, each solving one of the subproblems are introduced. Results show that the heuristic achieves close to optimal results while having a much lower computational complexity.
  • Keywords
    Long Term Evolution; cellular radio; computational complexity; integer programming; linear programming; nonlinear programming; radio spectrum management; resource allocation; D2D communication; LTE network; capital expenditure reduction; cellular network user; device-to-device communication; higher signal-to-interference and noise ratio; integer nonlinear programming problem; lower complexity heuristic algorithm; lower computational complexity; mobile data service; multimedia sharing; operating expenditure reduction; smaller linear integer program; spectrum utilization; wireless resource virtualization; Long Term Evolution; Radio spectrum management; Resource virtualization; Wireless communication; LTE; Wireless resource virtualization; device-to-device communication; spectrum management techniques;
  • fLanguage
    English
  • Journal_Title
    Broadcasting, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9316
  • Type

    jour

  • DOI
    10.1109/TBC.2015.2492458
  • Filename
    7321771