• DocumentCode
    1720018
  • Title

    Capacity analysis for macro/clustered femto coexisting networks

  • Author

    Uk Jang ; Hyunjin Lee ; Keeseong Cho

  • Author_Institution
    Broadcasting & Telecommun. Convergence Res. Lab., Electron. & Telecommun. Res. Inst. (ETRI), Daejeon, South Korea
  • fYear
    2013
  • Firstpage
    612
  • Lastpage
    616
  • Abstract
    The randomly deployment of a femtocell has a critical effect on the performance of a macro-cell network due to cochannel interference. In our previous work, we are able to verify that the block diaginalization (BD) with an antenna selection algorithm over macro/femto coexisting network shows a better performance from the respective of both macro mobile station (MMS) and femto mobile station (FMS) utilizing the advantage of a multiple input multiple output (MIMO) system. In this paper, we describe the closed-form expression of capacity for both MMS and FMS over coexisting network. Through simulation, both MMS and FMS have a higher capacity gain due to the successive interference mitigation as compared with the case of selfish beamforming at femtocells. Besides, the outage probability of MUEs can be effectively maintained in the presence of a severe interference from femtocells.
  • Keywords
    MIMO communication; array signal processing; channel capacity; cochannel interference; femtocellular radio; MIMO; MUE; antenna selection algorithm; beamforming; block diaginalization; capacity analysis; closed-form expression; cochannel interference; femto mobile station; femtocells; macro mobile station; macro/clustered femto coexisting networks; macro/femto coexisting network; multiple input multiple output system; Antennas; Downlink; Hidden Markov models; Interference; Quality of service; Block Diagonalization; Capacity; Coexisting Networks; Interference Mitigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2013 15th International Conference on
  • Conference_Location
    PyeongChang
  • ISSN
    1738-9445
  • Print_ISBN
    978-1-4673-3148-7
  • Type

    conf

  • Filename
    6488262