• DocumentCode
    2716728
  • Title

    Low-power channel coding via dynamic reconfiguration

  • Author

    Goel, Manish ; Shanbhag, Naresh R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    4
  • fYear
    1999
  • fDate
    15-19 Mar 1999
  • Firstpage
    1893
  • Abstract
    Presented in this paper are energy-optimum reconfiguration strategies for channel codecs. These strategies are derived by solving an optimization problem, which has energy consumption as the objective function and a constraint on the bit error-rate (BER). Energy consumption models for a reconfigurable Reed-Solomon (RS) codec are derived via gate-level simulation of the finite field arithmetic modules. These energy models along with the BER expressions are then employed to derive the energy-optimum reconfiguration strategies. The energy savings are computed by comparing the energy consumption of the reconfigurable codec with that of the static codec. The energy savings range from 0%-83% for channel signal-to-noise ratio (SNR) variations from 7 dB-10 dB. On an average 55% energy savings are achieved
  • Keywords
    CMOS logic circuits; Galois fields; Reed-Solomon codes; VLSI; channel coding; codecs; digital arithmetic; error statistics; logic simulation; BER constraint; CMOS technology; Galois field; VLSI design; XOR gates; bit error-rate; channel codecs; dynamic reconfiguration; energy consumption models; energy savings; energy-optimum reconfiguration; finite field arithmetic modules; gate-level simulation; low-power channel coding; objective function; optimization problem; reconfigurable Reed-Solomon codec; signal-to-noise ratio; static codec; Arithmetic; Bit error rate; Channel coding; Codecs; Computational modeling; Constraint optimization; Energy consumption; Galois fields; Reed-Solomon codes; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.758293
  • Filename
    758293