• DocumentCode
    705024
  • Title

    Device-to-Device Service Selection Framework in Cloud Radio Access Network

  • Author

    Yuansheng Luo ; Kun Yang ; Qiang Tang ; Jianming Zhang ; Shi Qiu

  • Author_Institution
    Sch. of Comp. & Comm. Eng., Changsha Univ. of Sci. & Tech, Changsha, China
  • fYear
    2015
  • fDate
    24-27 March 2015
  • Firstpage
    633
  • Lastpage
    637
  • Abstract
    Much work has been conducted to design effective and efficient algorithms for Quality of Service (QoS)-aware service selection algorithms in recent years. The wireless mobile computing and cloud computing environments have brought many challenges to QoS-aware service selection. Device-to-Device (D2D) communication and Cloud Radio Accessing Networks (C-RAN) are the new paradigm arising in recent years. This work proposes a D2D service selection framework in C-RAN. The optimal solution is deduced theoretically using queuing theory and convex optimization. The optimal and sub-optimal service selection strategy is proposed at last.
  • Keywords
    cloud computing; convex programming; mobile computing; mobile radio; optimisation; quality of service; queueing theory; radio access networks; telecommunication computing; C-RAN; D2D communication; QoS; cloud computing environments; cloud radio access network; convex optimization; device-to-device service selection framework; quality of service; queuing theory; suboptimal service selection strategy; wireless mobile computing; Ad hoc networks; Cloud computing; Mobile communication; Mobile computing; Quality of service; Radio access networks; Wireless communication; cloud radio accessing networks; device-to-device; queuing theory; service computing; service selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops (WAINA), 2015 IEEE 29th International Conference on
  • Conference_Location
    Gwangiu
  • Print_ISBN
    978-1-4799-1774-7
  • Type

    conf

  • DOI
    10.1109/WAINA.2015.64
  • Filename
    7096248