• DocumentCode
    50116
  • Title

    Channel Time Allocation PSO for Gigabit Multimedia Wireless Networks

  • Author

    Scott-Hayward, Sandra ; Garcia-Palacios, Emiliano

  • Author_Institution
    Inst. of Electron., Commun. & Inf. Technol., Queen´s Univ. Belfast, Belfast, UK
  • Volume
    16
  • Issue
    3
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    828
  • Lastpage
    836
  • Abstract
    This article introduces a resource allocation solution capable of handling mixed media applications within the constraints of a 60 GHz wireless network. The challenges of multimedia wireless transmission include high bandwidth requirements, delay intolerance and wireless channel availability. A new Channel Time Allocation Particle Swarm Optimization (CTA-PSO) is proposed to solve the network utility maximization (NUM) resource allocation problem. CTA-PSO optimizes the time allocated to each device in the network in order to maximize the Quality of Service (QoS) experienced by each user. CTA-PSO introduces network-linked swarm size, an increased diversity function and a learning method based on the personal best, Pbest, results of the swarm. These additional developments to the PSO produce improved convergence speed with respect to Adaptive PSO while maintaining the QoS improvement of the NUM. Specifically, CTA-PSO supports applications described by both convex and non-convex utility functions. The multimedia resource allocation solution presented in this article provides a practical solution for real-time wireless networks.
  • Keywords
    channel allocation; concave programming; convex programming; diversity reception; multi-access systems; multimedia communication; particle swarm optimisation; quality of service; radio networks; adaptive PSO; channel time allocation PSO; delay intolerance; diversity function; frequency 60 GHz; gigabit multimedia wireless networks; mixed media applications; multimedia resource allocation solution; multimedia wireless transmission; network linked swarm size; network utility maximization; nonconvex utility function; particle swarm optimization; personal best learning method; quality of service; real time wireless network; resource allocation problem; wireless channel availability; Convergence; Multimedia communication; Optimization; Resource management; Streaming media; Wireless networks; Multimedia; particle swarm optimization; resource allocation; wireless personal area networks;
  • fLanguage
    English
  • Journal_Title
    Multimedia, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1520-9210
  • Type

    jour

  • DOI
    10.1109/TMM.2014.2298211
  • Filename
    6704317