DocumentCode :
2523347
Title :
Adaptive HARQ with Memoryless Relays
Author :
Weitkemper, Petra ; Taoka, Hidekazu
Author_Institution :
DOCOMO Commun. Labs. Eur. GmbH, Munich, Germany
fYear :
2011
fDate :
5-8 Sept. 2011
Firstpage :
1
Lastpage :
5
Abstract :
In a relay enhanced system the classical HARQ schemes should be adapted to exploit the better channel conditions of the relay in comparison to the direct link. In particular, we need to decide which node (either the source or one of the relays) should retransmit and how many resources have to be spent to avoid further retransmissions. This adaptation should be optimized with respect to the trade-off between Frame Error Rate (FER) and the required resources. We propose an approach based on accumulated Mutual Information (MI) for relay networks applying different relay functions. We consider several memory less relay functions without channel decoding aiming for simple and cheap relays. Besides the well-known Amplify-Forward (AF) and Detect-Forward (DetF) schemes, we also consider a soft information relaying function called Estimate-Forward (EF) as this provides higher Mutual Information than AF and DetF. We show that our proposed HARQ retransmission scheme can improve the throughput significantly, especially if EF is applied at the relay.
Keywords :
automatic repeat request; channel coding; decoding; error statistics; adaptive HARQ retransmission; amplify-forward scheme; channel condition; channel decoding; detect-forward scheme; estimate-forward; frame error rate; hybrid automatic repeat request; memory less relay function; memoryless relays; mutual information; relay enhanced system; relay networks; soft information relaying function; Conferences; Decoding; Gain; Phase shift keying; Relays; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
ISSN :
1090-3038
Print_ISBN :
978-1-4244-8328-0
Type :
conf
DOI :
10.1109/VETECF.2011.6093080
Filename :
6093080
Link To Document :
بازگشت