• DocumentCode
    3489490
  • Title

    Multi-User Detection Based on Quantum Square-Root Measurement

  • Author

    Zhao Sheng-mei ; Zheng Bao-yu

  • Author_Institution
    Inst. of Inf. Process. & Transm., Nanjing Univ. of Posts & Telecommun., Nanjing
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    743
  • Lastpage
    746
  • Abstract
    The quantum multi-user detection technique with quantum detection under quantum multiple-access channel is a promising field in communications, it has promised an efficient solution to the NP hard problem in conventional optimal solution of multi-user detection. In this paper, a solution of multi-user detection in multi-access quantum channel based on the quantum square-root measurement is proposed, by which the minimum square-root probability of error can be gathered, and the probability of symbol error under various correlation coefficients with OOK and PSK modulation is evaluated. Compared with OOK modulation, the performance of PSK modulation can be improved greatly, but with high computation complexity. Then, a threshold algorithm and a new quantum square-root measurement formula are developed to reduce the computation complexity. The numerical experiments show that these methods can lower the complexity greatly.
  • Keywords
    amplitude shift keying; multiuser detection; phase shift keying; OOK modulation; PSK modulation; correlation coefficients; multi-user detection; quantum multiple-access channel; quantum square-root measurement; symbol error; Detectors; Gaussian noise; Information processing; Multiaccess communication; Multiuser detection; NP-hard problem; Phase shift keying; Quantum computing; Quantum mechanics; Telecommunication computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.192
  • Filename
    4339967