• DocumentCode
    3280437
  • Title

    Improving capacity in MIMO systems with asynchronous PAM

  • Author

    Barman, Kishor ; Dabeer, Onkar

  • Author_Institution
    Sch. of Technol. & Comput. Sci., Tata Inst. of Fundamental Res., Mumbai
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Consider a multiple input multiple output (MIMO) system, where each transmit antenna uses pulse amplitude modulation (PAM), possibly with an antenna dependent delay introduced deliberately at the transmitter. We show that under commonly used transmitter spectral mask constraints, the channel has unbounded degrees of freedom. While synchronous PAM exploits only a fixed number of these degrees of freedom, asynchronism exploits them to improve capacity. For most cases of interest, two distinct shifts attain most of the capacity improvements. Spectrum analysis suggests that asynchronism with optimal water-filling based schemes are useful for improving capacity only in directional links, while uniform power allocation leads to capacity improvement without any extra spectral leakage.
  • Keywords
    MIMO communication; antenna arrays; channel capacity; pulse amplitude modulation; radio transmitters; wireless channels; MIMO system; antenna array; asynchronous PAM; channel capacity; directional link; multiple input multiple output system; optimal water-filling based scheme; pulse amplitude modulation; radio transmitter; spectral mask constraint; spectrum analysis; uniform power allocation; Antenna theory; Computer science; Delay; Intersymbol interference; MIMO; OFDM; Pulse modulation; Receiving antennas; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Its Applications, 2008. ISITA 2008. International Symposium on
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4244-2068-1
  • Electronic_ISBN
    978-1-4244-2069-8
  • Type

    conf

  • DOI
    10.1109/ISITA.2008.4895525
  • Filename
    4895525