• DocumentCode
    1700618
  • Title

    Interference alignment for MIMO downlink femtocell networks

  • Author

    Qingzhong Li ; Xuemai Gu ; Hanqing Li ; Min Jia ; Weidang Lu

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Interference management in femtocell network is an important issue to achieve the network throughput gain as well as not degrading the throughput of the macrocell tier. In this paper we consider a MIMO femtocell network and propose an interference mitigation strategy using interference alignment (IA) to mitigate the interference at the macrocell users (MUEs) caused by femtocell base stations (FBSs). Since the resource of the macrocell tier is scarcer than the femtocell tier, the transceiver design algorithm is proposed to guarantee the performance of the macrocell tier. Numerical simulations are given and the results show that by introducing IA algorithm the proposed algorithm achieve better femtocell tier throughput performance especially with dense femtocell deployment, with only a small degradation in macrocell tier throughput.
  • Keywords
    MIMO communication; femtocellular radio; numerical analysis; radio links; radio transceivers; radiofrequency interference; telecommunication network management; FBS; IA; MIMO downlink femtocell networks; MUE; femtocell base stations; interference alignment; interference management; interference mitigation strategy; macrocell users; numerical simulations; transceiver design algorithm; Algorithm design and analysis; Array signal processing; Femtocell networks; Interference; Macrocell networks; Throughput; Vectors; femtocell networks; interference alignment; multiple-input multiple-output;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks (ICON), 2013 19th IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4799-2083-9
  • Type

    conf

  • DOI
    10.1109/ICON.2013.6781937
  • Filename
    6781937