Parity Assisted Decision Making for QAM Modulation Metadata

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  • Main Title Parity Assisted Decision Making for QAM Modulation


  • Author: Alhabsi, Amer H.
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: Al-Rizzo, Hussain Mudhaffar Younis, 1957-
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: Akl, Robert G.
    Creator Type: Personal
    Creator Info: University of North Texas


  • Name: Association for Computing Machinery (ACM)
    Place of Publication: [New York, New York]


  • Creation: 2006-09


  • English


  • Content Description: This paper discusses parity assisted decision making for QAM modulation.
  • Physical Description: 5 p.


  • Keyword: quadrature amplitude modulation
  • Keyword: QAM
  • Keyword: error correcting codes


  • Conference: International Conference on Wireless Communications and Mobile Computing (IWCMC), 2006, Vancouver, British Columbia, Canada


  • Name: UNT Scholarly Works
    Code: UNTSW


  • Name: UNT College of Engineering
    Code: UNTCOE


  • Rights Access: public

Resource Type

  • Paper


  • Text


  • Archival Resource Key: ark:/67531/metadc30829


  • Academic Department: Computer Science and Engineering


  • Display Note: Abstract: A simple technique which involves the transmission of a Quadrature Amplitude Modulation (QAM) symbol and two parity bits in separate channels to improve the performance of communication systems is devised. When a symbol is received, a decision is made not solely by its Euclidean distances to the constellation points. Rather, the two parity bits are used to assist in making the decision. Unlike standard error correcting codes (ECC), the proposed method operates on the received symbols at the detector level and before the ECC. The parity bits and the information symbols can be sent in different channels (frequency division) or at different times on the same channel (time division). The available energy for transmission can be distributed unevenly among the information bits and the parity bits to improve the performance. Simulation results show large gains in required signal to noise ratios over uncoded system to achieve the same performance. The scheme is simple and is well suited for systems with low computational power.