• DocumentCode
    146709
  • Title

    Performance analysis of 8×8 MIMO system for LTE-A in Nakagami-m Fading Channel

  • Author

    Vaishnav, Shivang ; Dholariya, Tarun

  • Author_Institution
    A. James Clark Sch. of Eng., Univ. of Maryland, College Park, NJ, USA
  • fYear
    2014
  • fDate
    3-5 April 2014
  • Abstract
    Presently, International Telecommunication Union - Radio Communication Sector is prototyping the system requirements for International Mobile Telecommunications Advanced (IMT-A) [1]. Achieving 100 Mbit/s in a fast mobility and 1 Gbit/s in a slow mobility conditions [2]. While 3rd Generation Project Partner (3GPP) may exceed this requirement. So the peak data rate is becoming the prime focus of contemporary specification. Presented work mainly focuses on the most promising technique to elevate wireless communication channel capacity i.e. Multi Input Multi Output(MIMO) antenna system. The observations are simulated for indoor environment. MIMO system is envisioned to provide the highest data rate and Quality of Service (QoS) as per given specification. This paper describes the performance analysis of 8×8 MIMO system considering Nakagami-m fading channel probabilistic model and Water Filling sub-band power allocation algorithm.
  • Keywords
    3G mobile communication; Long Term Evolution; MIMO communication; Nakagami channels; antennas; probability; quality of service; 3GPP; 3rd Generation Project Partner; IMT-A; International Mobile Telecommunications Advanced; International Telecommunication Union-; LTE-A; MIMO system; Nakagami-m fading channel probabilistic model; QoS; contemporary specification; indoor environment; multi input multi output antenna system; performance analysis; quality of service; radiocommunication sector; water filling subband power allocation algorithm; wireless communication channel capacity; Channel capacity; Interference; MIMO; Nakagami distribution; Resource management; Signal to noise ratio; Wireless sensor networks; Channel Capacity; MIMO; Nakagami-m channel; Singular Value Decomposition; Spectral Efficiency; Water Filling Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2014 International Conference on
  • Conference_Location
    Melmaruvathur
  • Print_ISBN
    978-1-4799-3357-0
  • Type

    conf

  • DOI
    10.1109/ICCSP.2014.6949805
  • Filename
    6949805