• DocumentCode
    2818702
  • Title

    A joint resource allocation and link adaptation algorithm with carrier aggregation for 5G LTE-Advanced network

  • Author

    Rostami, Soheil ; Arshad, Kamran ; Rapajic, Predrag

  • Author_Institution
    Dept. of Electr., Electron. & Comput. Eng., Univ. of Greenwich, London, UK
  • fYear
    2015
  • fDate
    27-29 April 2015
  • Firstpage
    102
  • Lastpage
    106
  • Abstract
    Carrier aggregation has been introduced by 3rd Generation Partnership project (3GPP) in order to meet the IMT-Advanced requirements. Using carrier aggregation, multiple component carriers with a different bandwidth, dispersed within intra or inter bands can be simultaneously utilised to provide higher data rates, better coverage and lower latency resulting a better user experience. However, carrier aggregation functionality requires modification to the radio resource management function of the network. In this paper, we propose an efficient resource allocation and link adaptation algorithm to support carrier aggregation functionality for downlink 5G LTE-Advanced (LTE-A) network. We consider a non-guaranteed bit rate bearers (best effort traffic), which can be used for non realtime applications such as file downloads. Most of the existing work considered resource allocation, component carrier selection and link adaptation as separate problems. We define a joint radio resource management problem with carrier aggregation functionality and propose a sub-optimal solution with a low computational complexity. Simulation results show clearly that our algorithm outperforms state-of-the-art algorithms.
  • Keywords
    3G mobile communication; Long Term Evolution; computational complexity; mobility management (mobile radio); resource allocation; telecommunication traffic; 3GPP; 3rd Generation Partnership project; 5G LTE-Advanced network; IMT-Advanced requirements; LTE-A network; carrier aggregation functionality; computational complexity; file downloads; link adaptation algorithm; radio resource management function; radio resource management problem; resource allocation; Computational complexity; Indexes; Long Term Evolution; Resource management; Simulation; Throughput; 5G; LTE-Advanced; carrier aggregation; link adaptation; radio resource management; resource allocation; scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (ICT), 2015 22nd International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICT.2015.7124665
  • Filename
    7124665