New error prediction techniques for turbo-coded OFDM systems and impact on adaptive modulation and coding

Konferenz: PIMRC 2005 - 16th Annual IEEE International Symposium on Personal Indoor and Mobile Radio Communications
11.09.2005 - 14.09.2005 in Berlin, Germany

Tagungsband: PIMRC 2005

Seiten: 4Sprache: EnglischTyp: PDF

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Strinati, Emilio Calvanese; Simoens, Sébastien (Motorola Labs, Paris, France)
Boutros, Joseph (ENST, Paris, France)

This paper deals with Packet Error Rate (PER) prediction and its impact on Adaptive Modulation and Coding (AMC) for an OFDM turbo coded transmission on a multipath channel. We compare four Link Quality Metrics (LQM), including the Signal to Noise Ratio (SNR), the capacity, and two LQM which we designed to exploit the soft outputs of the turbo-decoder. Since error prediction is used to perform AMC, we assess the throughput performance of a realistic system employing each of the four LQM. The comparison shows that while SNR performs poorly and capacity remains suboptimum, the two metrics exploiting soft outputs approach the throughput which would be achieved by perfect PER prediction.