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 |
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Title of host publication | 2010 IEEE Information Theory Workshop, ITW 2010 - Proceedings |
Publisher | IEEE |
Number of pages | 5 |
ISBN (Print) | 9781424482641 |
DOIs | |
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 |
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Country | Ireland |
City | Dublin |
Period | 30/08/10 → 3/09/10 |
Fingerprint
Keywords
- Automatic repeat request
- Decoding
- Signal to noise ratio
- MIMO
- Error probability
- Fading
- Encoding
ASJC Scopus subject areas
- Information Systems
- Applied Mathematics
Cite this
Coding for the MIMO ARQ block-fading channel with imperfect feedback and CSIR. / Asyhari, A. Taufiq; I Fabregas, Albert Guillen.
2010 IEEE Information Theory Workshop, ITW 2010 - Proceedings. IEEE, 2010. 5592842.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding
}
TY - GEN
T1 - Coding for the MIMO ARQ block-fading channel with imperfect feedback and CSIR
AU - Asyhari, A. Taufiq
AU - I Fabregas, Albert Guillen
PY - 2010/12/1
Y1 - 2010/12/1
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
UR - http://www.scopus.com/inward/record.url?scp=80051951695&partnerID=8YFLogxK
U2 - 10.1109/CIG.2010.5592842
DO - 10.1109/CIG.2010.5592842
M3 - Conference proceeding
SN - 9781424482641
BT - 2010 IEEE Information Theory Workshop, ITW 2010 - Proceedings
PB - IEEE
ER -