The performance of incremental redundancy schemes based on convolutional codes in the block-fading Gaussian collision channel

Research output: Contribution to journalArticle


The throughput performance of incremental redundancy (INR) schemes, based on short constraint length convolutional codes, is evaluated for the block-fading Gaussian collision channel. Results based on simulations and union bound computations are compared to estimates of the achievable throughput performance with random binary and Gaussian coding in the limit of large block lengths, obtained through information outage considerations. For low channel loads, it is observed that INR schemes with binary convolutional codes and limited block length may provide throughput close to the achievable performance for binary random coding. However, for these low loads, compared to binary random coding, Gaussian random coding may provide significantly better throughput performance, which prompts the use of larger modulation constellations. For high channel loads, a relatively large gap in throughput performance between binary convolutional codes and binary random codes indicates a potential for extensive performance improvement by alternative coding strategies. Only small improvements of the throughput have been observed by increasing the complexity through increased state convolutional coding.


  • Carl Fredrik Leanderson
  • G Caire
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Electrical Engineering, Electronic Engineering, Information Engineering


  • redundancy, incremental, convolutional codes, hybrid automatic repeat request, throughput
Original languageEnglish
Pages (from-to)843-854
JournalIEEE Transactions on Wireless Communications
Issue number3
Publication statusPublished - 2004
Publication categoryResearch