• DocumentCode
    120650
  • Title

    Collaborative algorithm for resource allocation in LTE-Advanced relay networks

  • Author

    Onu, Egena ; Alani, Omar

  • Author_Institution
    Inf. & Acoust. Res. Center, Univ. of Salford, Salford, UK
  • fYear
    2014
  • fDate
    23-25 July 2014
  • Firstpage
    938
  • Lastpage
    942
  • Abstract
    The Capability of Relay Station deployment towards improving transmission data rates in the LTE-Advanced network has become widely accepted. However, Relay deployments are ususally burdened with the problem of resource allocation on the relay link where the relay station and users directly connected to the Donor eNB (DeNB) compete for available resources. In this paper, we propose a Collaborative Algorithm based on the Market Game theory to address this problem of Resource Allocation with LTE-Advanced Relay network. The result collated from our theoretical analysis indicates an improvement in the data rates achieved by users within the relay station´s cell range.
  • Keywords
    Long Term Evolution; game theory; relay networks (telecommunication); resource allocation; Donor eNB compete; LTE-advanced relay networks; collaborative algorithm; market game theory; relay station deployment; resource allocation; Algorithm design and analysis; Collaboration; Games; Long Term Evolution; Relay networks (telecommunications); Resource management; Algorithm; Collaboration; LTE-Advanced; Market Game; Optimization; Relay; Resource Allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/CSNDSP.2014.6923964
  • Filename
    6923964