• DocumentCode
    2238370
  • Title

    Reinforcement learning algorithm for optimised cross layer medical video streaming over WiMAX networks

  • Author

    Alinejad, Ali ; Philip, Nada ; Istepanian, Robert

  • Author_Institution
    Kingston Univ., London, UK
  • fYear
    2010
  • fDate
    21-23 July 2010
  • Firstpage
    862
  • Lastpage
    866
  • Abstract
    The design of effective broadband mobile healthcare systems using emerging WiMAX networks is an important issue, especially for remote medical diagnostic systems. In this paper, we introduce a new cross layer design approach for medical video streaming in WiMAX networks. The proposed approach is based on optimising medical Quality of Service (m-QoS) in the network environments. Preliminary performance analysis of the proposed algorithm has been evaluated via simulation studies. These results show that the proposed cross layer optimizer achieved performance improvements that are compatible with the medical QoS requirements and constraints.
  • Keywords
    WiMax; biomedical communication; broadband networks; health care; learning (artificial intelligence); mobile computing; mobile radio; quality of service; video streaming; WiMax networks; broadband mobile healthcare systems; cross layer design approach; m-QoS optimisation; medical quality of service; reinforcement learning algorithm; remote medical diagnostic systems; Cross layer design; Mobile communication; PSNR; Quality of service; Streaming media; Ultrasonic imaging; WiMAX;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems Networks and Digital Signal Processing (CSNDSP), 2010 7th International Symposium on
  • Conference_Location
    Newcastle upon Tyne
  • Print_ISBN
    978-1-4244-8858-2
  • Electronic_ISBN
    978-1-86135-369-6
  • Type

    conf

  • Filename
    5580301