• DocumentCode
    3220640
  • Title

    Interference alignment performanceon MIMO X channels with imperfect channel knowledge

  • Author

    Mahmoud, AbdulRahman ; El-Khamy, Mostafa ; Elsayed, Khaled

  • Author_Institution
    Electr. Eng. Dept., Alexandria Univ., Alexandria, Egypt
  • fYear
    2012
  • fDate
    17-20 June 2012
  • Firstpage
    239
  • Lastpage
    243
  • Abstract
    Interference alignment (IA) can achieve the optimal degrees of freedom in interference-limited wireless systems. Popular IA schemes assume perfect global knowledge of the MIMO channels at all transmitters and receivers. In this paper, we investigate the error rate performance of interference alignment in MIMO M × 2 X systems at practical signal to noise ratios. Through theoretical analysis and Monte Carlo simulations, we analyze the effect of imperfect channel estimation at the receiver and transmitter on the bit error rate performance of zero-forcing interference alignment.
  • Keywords
    MIMO communication; Monte Carlo methods; channel estimation; error statistics; radio receivers; radio transmitters; radiofrequency interference; wireless channels; IA schemes; MIMO X channels; Monte Carlo simulations; bit error rate performance; imperfect channel estimation; imperfect channel knowledge; interference alignment performance; interference-limited wireless systems; radio receiver; radio transmitter; zero-forcing interference alignment; Bit error rate; Interference; MIMO; Modulation; Receivers; Signal to noise ratio; Transmitters; MIMO; X-channel; channel estimation error; degrees of freedom; interference alignment; sum rate; zero-forcing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications (SPAWC), 2012 IEEE 13th International Workshop on
  • Conference_Location
    Cesme
  • ISSN
    1948-3244
  • Print_ISBN
    978-1-4673-0970-7
  • Type

    conf

  • DOI
    10.1109/SPAWC.2012.6292901
  • Filename
    6292901