• DocumentCode
    686053
  • Title

    Network-assisted discovery for device-to-device communications

  • Author

    Thanos, Anastasios ; Shalmashi, Serveh ; Guowang Miao

  • Author_Institution
    Dept. of Commun. Syst. (CoS), KTH R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    660
  • Lastpage
    664
  • Abstract
    Network-assisted device-to-device (D2D) communications allow two devices to communicate with each other directly using one bidirectional link. Exchange of signaling messages with the base station allows the establishment of D2D communications. The discovery of D2D pairs of devices is an essential part of D2D communications as it provides the base station with all the information necessary to evaluate the possibility of D2D communication for the pair. This paper proposes two discovery algorithms, the centralized fully network-dependent and the semi centralized semi-network-dependent algorithms to identify D2D pairs through the exchange of a number of signaling messages. A comparison between those algorithms is performed with respect to delay and signaling overhead. Simulation results show that the second discovery algorithm is faster and more efficient than the first one in discovering new D2D pairs.
  • Keywords
    cellular radio; probability; telecommunication network topology; telecommunication signalling; D2D communications; D2D pairs; base station; bidirectional link; centralized fully network-dependent algorithms; device-to-device communications; discovery algorithms; network-assisted discovery; semicentralized semi-network-dependent algorithms; signaling messages; signaling overhead; Ad hoc networks; Base stations; Conferences; Interference; Performance evaluation; Signal to noise ratio; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Globecom Workshops (GC Wkshps), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2013.6825063
  • Filename
    6825063