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Adaptive HARQ with Memoryless Relays

Authors: Petra Weitkemper; Hidekazu Taoka;

Adaptive HARQ with Memoryless Relays

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 memoryless relay functions without channel decoding aiming for simple and cheap relays. Beside 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.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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