Coding for the MIMO ARQ block-fading channel with imperfect feedback and CSIR

A. Taufiq Asyhari; Albert Guillen I Fabregas

doi:10.1109/CIG.2010.5592842

Coding for the MIMO ARQ block-fading channel with imperfect feedback and CSIR

A. Taufiq Asyhari, Albert Guillen I Fabregas

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

We investigate the effects of imperfect channel knowledge and feedback in incremental-redundancy automatic-repeat request (INR-ARQ) coding systems over multiple-input multiple-output (MIMO) block-fading channels. We propose an ARQ decoder based on nearest neighbour decoding and evaluate the corresponding achievable rates. We then derive the optimal code diversity assuming that the feedback channel is modelled as a binary symmetric channel. Our main results show that the feedback link reliability must improve with the forward (transmission) signal-to-noise ratio (SNR) for the code to exploit the diversity offered by ARQ scheme. We also identify the conditions for achieving full diversity and for ARQ not helping in improving the system's diversity.

Original language	English
Title of host publication	2010 IEEE Information Theory Workshop, ITW 2010 - Proceedings
Publisher	IEEE
Number of pages	5
ISBN (Print)	9781424482641
DOIs	https://doi.org/10.1109/CIG.2010.5592842
Publication status	Published - 1 Dec 2010
Externally published	Yes
Event	2010 IEEE Information Theory Workshop, ITW 2010 - Dublin, Ireland Duration: 30 Aug 2010 → 3 Sep 2010

Workshop

Workshop	2010 IEEE Information Theory Workshop, ITW 2010
Country	Ireland
City	Dublin
Period	30/08/10 → 3/09/10

Keywords

Automatic repeat request
Decoding
Signal to noise ratio
MIMO
Error probability
Fading
Encoding

ASJC Scopus subject areas

Information Systems
Applied Mathematics

Access to Document

10.1109/CIG.2010.5592842

Link to publication in Scopus

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Cite this

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title = "Coding for the MIMO ARQ block-fading channel with imperfect feedback and CSIR",

abstract = "We investigate the effects of imperfect channel knowledge and feedback in incremental-redundancy automatic-repeat request (INR-ARQ) coding systems over multiple-input multiple-output (MIMO) block-fading channels. We propose an ARQ decoder based on nearest neighbour decoding and evaluate the corresponding achievable rates. We then derive the optimal code diversity assuming that the feedback channel is modelled as a binary symmetric channel. Our main results show that the feedback link reliability must improve with the forward (transmission) signal-to-noise ratio (SNR) for the code to exploit the diversity offered by ARQ scheme. We also identify the conditions for achieving full diversity and for ARQ not helping in improving the system's diversity.",

keywords = "Automatic repeat request, Decoding, Signal to noise ratio, MIMO, Error probability, Fading, Encoding",

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N2 - We investigate the effects of imperfect channel knowledge and feedback in incremental-redundancy automatic-repeat request (INR-ARQ) coding systems over multiple-input multiple-output (MIMO) block-fading channels. We propose an ARQ decoder based on nearest neighbour decoding and evaluate the corresponding achievable rates. We then derive the optimal code diversity assuming that the feedback channel is modelled as a binary symmetric channel. Our main results show that the feedback link reliability must improve with the forward (transmission) signal-to-noise ratio (SNR) for the code to exploit the diversity offered by ARQ scheme. We also identify the conditions for achieving full diversity and for ARQ not helping in improving the system's diversity.

AB - We investigate the effects of imperfect channel knowledge and feedback in incremental-redundancy automatic-repeat request (INR-ARQ) coding systems over multiple-input multiple-output (MIMO) block-fading channels. We propose an ARQ decoder based on nearest neighbour decoding and evaluate the corresponding achievable rates. We then derive the optimal code diversity assuming that the feedback channel is modelled as a binary symmetric channel. Our main results show that the feedback link reliability must improve with the forward (transmission) signal-to-noise ratio (SNR) for the code to exploit the diversity offered by ARQ scheme. We also identify the conditions for achieving full diversity and for ARQ not helping in improving the system's diversity.

KW - Automatic repeat request

KW - Decoding

KW - Signal to noise ratio

KW - MIMO

KW - Error probability

KW - Fading

KW - Encoding

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