• DocumentCode
    3542046
  • Title

    Research of Sphere Decoding Detection Algorithm in LTE-A System

  • Author

    Xu Ren ; Huahua Wang

  • Author_Institution
    Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • fYear
    2012
  • fDate
    21-23 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Multi-Input Multi-Output (MIMO) has become a popular technique to increase spectral efficient. Meanwhile, the design of cost-effective receiver for LTE-A system remains a challenging task. The sphere detection algorithm performs exact Maximum Likelihood (ML) detection algorithm, however, its decoding complexity is greatly impacted by the initial radius of decoding. A new type of sphere decoding algorithm based on threshold is proposed in this paper. This new algorithm, considering the influence of signal-to-noise ratio and channel condition number on detection algorithm, has lower sphere decoding complexity and ensures performance of sphere decoding. This algorithm has been applied to the LTE-TDD wireless integrated test instrument and has shown perfect performance.
  • Keywords
    Long Term Evolution; MIMO communication; communication complexity; maximum likelihood decoding; maximum likelihood detection; radio receivers; radio spectrum management; wireless channels; LTE-A system; LTE-TDD wireless integrated test instrument; MIMO; ML detection algorithm; channel condition number; cost-effective receiver design; maximum likelihood detection algorithm; multiinput multioutput; signal-to-noise ratio; spectral efficiency; sphere decoding algorithm; sphere decoding complexity; sphere decoding detection algorithm; sphere detection algorithm; Algorithm design and analysis; Bit error rate; Complexity theory; Maximum likelihood decoding; Signal to noise ratio; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-61284-684-2
  • Type

    conf

  • DOI
    10.1109/WiCOM.2012.6478645
  • Filename
    6478645