• DocumentCode
    166937
  • Title

    Downlink cognitive interference alignment for heterogeneous networks

  • Author

    Ali, Sk Subidh ; Castanheira, Daniel ; Silva, Alonso ; Gameiro, Atilio

  • Author_Institution
    Inst. of Telecommun., Aveiro, Portugal
  • fYear
    2014
  • fDate
    4-7 May 2014
  • Firstpage
    236
  • Lastpage
    240
  • Abstract
    The deployment of small-cells along a macro-cell is considered to be an effective solution in order to increase the capacity and offload the traffic from the macro-cell system. In current heterogeneous configuration with large number of deployments, it is likely that the small-cells will coexist with macro cells over the same spectrum as additional spectrum licenses are difficult and expensive to acquire. The coexistence of these cells leads to considerable interference between the two systems. In this context, we propose an underlay downlink cognitive interference alignment approach in order to remove both the interference from small-cells to the macro-cell system and from macro-cell to the small-cells. In the proposed scheme the small-cells sense the unused resources in the space dimension of the macro-cell and then communicate without interfering with the macro-cell system. The simulation results show that the secondary system does not affect the performance of primary system. The proposed scheme also provides close to optimal performance with minor overheads.
  • Keywords
    cellular radio; cognitive radio; radiofrequency interference; telecommunication traffic; cognitive radio; heterogeneous configuration; heterogeneous networks; macro-cell system; small-cell deployment; underlay downlink cognitive interference alignment approach; Antennas; Cognitive radio; Downlink; Equalizers; Interference; Telecommunications; Cognitive Radio (CR); Downlink (DL); Heterogeneous Networks (HetNets); Interference Alignment (IA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (ICT), 2014 21st International Conference on
  • Conference_Location
    Lisbon
  • Print_ISBN
    978-1-4799-5139-0
  • Type

    conf

  • DOI
    10.1109/ICT.2014.6845115
  • Filename
    6845115