• DocumentCode
    1683799
  • Title

    Adaptive Hybrid ARQ in Gaussian and Turbo Coded Systems

  • Author

    Yue, Guosen ; Wang, Xiaodong

  • Author_Institution
    NEC Lab. America, Inc., Princeton, NJ
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We consider the design of adaptive hybrid automatic retransmission request (ARQ) with incremental redundancy (IR) in which the transmission rates of different blocks in one hybrid ARQ process can be different. The throughput of adaptive IR hybrid ARQ in block fading channels is formed based on the renewal-reward theorem. Two types of input signals are considered, namely, Gaussian inputs and practical turbo coded modulation. For Gaussian inputs, the error probability after each transmission is obtained from the outage rate. For turbo coded modulation, we obtain the error rate after each transmission block by applying union-Bhattacharyya (UB) bound for parallel channels. The throughput optimization is then formed to seek the optimal transmission rates. The results show that adaptive IR HARQ provides higher throughput than non-adaptive IR HARQ and chase combining in the moderate-to-high SNR region.
  • Keywords
    Gaussian channels; automatic repeat request; block codes; channel coding; error statistics; fading channels; modulation coding; optimisation; turbo codes; Gaussian coded system; adaptive hybrid ARQ process; adaptive hybrid automatic retransmission request; block fading channels; error probability; optimization; renewal-reward theorem; turbo coded modulation; Automatic repeat request; Decoding; Error analysis; Laboratories; Modulation coding; National electric code; Redundancy; Throughput; Transmitters; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
  • Conference_Location
    New Orleans, LO
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-2324-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2008.ECP.729
  • Filename
    4698504