Predicting burst error statistics of digital wireless systems with HARQ

Omar S Salih, Cheng-Xiang Wang, Raed Mesleh, Xiaohu Ge, Dongfeng Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Hybrid Automatic Retransmission reQuest (HARQ) is an effective technique to improve the reliability of wireless communication systems by detecting, correcting, and retransmitting the erroneous packets. Packet-level error sequences obtained from physical layer wireless communication systems are important for the design and performance evaluation of high layer protocols, e.g., HARQ. In this paper, we utilize the open source Vienna long-term evolution (LTE) simulator to study the impact of HARQ on the burst error statistics of packet-level error sequences. Moreover, we propose a generative model that can generate packet-level error sequences with predicted burst error statistics similar to those of error sequences obtained from wireless systems with HARQ. Simulation results demonstrate that the proposed generative model is accurate and efficient in predicting the behavior of HARQ in terms of a set of burst error statistics rather than predicting the packet error rate (PER) only.

Original languageEnglish
Title of host publication2013 9th International Wireless Communications and Mobile Computing Conference
PublisherIEEE
Pages276-281
Number of pages6
ISBN (Print)978-1-4673-2479-3
DOIs
Publication statusPublished - 2013
Event9th International Wireless Communications and Mobile Computing Conference - Sardinia, Italy
Duration: 1 Jul 20135 Jul 2013

Conference

Conference9th International Wireless Communications and Mobile Computing Conference
Abbreviated titleIWCMC 2013
CountryItaly
CitySardinia
Period1/07/135/07/13

Keywords

  • Burst error statistics
  • error models
  • generative models
  • link error prediction
  • HARQ
  • MOBILE RADIO CHANNELS
  • HIDDEN MARKOV-MODELS

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