• DocumentCode
    111694
  • Title

    EMC: Emotion-aware mobile cloud computing in 5G

  • Author

    Min Chen ; Yin Zhang ; Yong Li ; Shiwen Mao ; Leung, Victor C. M.

  • Volume
    29
  • Issue
    2
  • fYear
    2015
  • fDate
    March-April 2015
  • Firstpage
    32
  • Lastpage
    38
  • Abstract
    With the development of 5G, the wireless world will be interconnected without barriers. This new technology will enable many challenging applications, and more personalized and interactive services are expected to be available with resource-limited mobile terminals. Fortunately, mobile cloud computing (MCC) emerging in the context of 5G has the potential to overcome this bottleneck, which enables many resource-intensive services for mobile users with the support of mobile big data delivery and cloud-assisted computing. In this article we propose a novel framework named EMC in the context of 5G, which offers personalized emotion-aware services by MCC and affective computing. With the proposed framework, the traditional MCC architecture is modified to achieve the required Quality of Experience in emotion-aware applications. Furthermore, we design a partitioning solution corresponding to the fundamental trade-off between the communication and computation in EMC. The framework would be helpful to provide personalized, human-centric, intelligent emotion-aware services in 5G.
  • Keywords
    5G mobile communication; Big Data; cloud computing; mobile computing; quality of experience; 5G; EMC; MCC; affective computing; cloud-assisted computing; emotion-aware mobile cloud computing; mobile big data delivery; mobile users; quality of experience; resource-intensive services; 5G mobile communication; Cloud computing; Data collection; Electromagnetic compatibility; Emotion recognition; Mobile communication; Mobile handsets;
  • fLanguage
    English
  • Journal_Title
    Network, IEEE
  • Publisher
    ieee
  • ISSN
    0890-8044
  • Type

    jour

  • DOI
    10.1109/MNET.2015.7064900
  • Filename
    7064900