Transmission of correlated Gaussian sources over a Gaussian interference channel is studied. Each terminal has one source available, which has to be reconstructed at the corresponding destination with the minimum average distortion. Focusing on the strong interference setting, we first derive necessary conditions on the achievable distortion pairs. Then, focusing on the symmetric scenario, we present achievable distortion pairs considering several transmission strategies. We compare the achievable distortion by the proposed schemes with the lower bound. In particular, we consider separate source and channel coding, uncoded transmission, a vector quantization (VQ) scheme which uses the quantization codewords as channel inputs, and finally a superposition of two quantization codewords. We show that the VQ scheme is optimal in the high SNR regime. We also show that the proposed superposition scheme performs very close to the lower bound in certain regimes.

Gaussian joint source-channel coding for the strong interference channel / Aguerri, I. E.; Gunduz, D.. - (2015), pp. 1-5. (Intervento presentato al convegno 2015 IEEE Information Theory Workshop, ITW 2015 tenutosi a isr nel 2015) [10.1109/ITW.2015.7133109].

Gaussian joint source-channel coding for the strong interference channel

D. Gunduz
2015

Abstract

Transmission of correlated Gaussian sources over a Gaussian interference channel is studied. Each terminal has one source available, which has to be reconstructed at the corresponding destination with the minimum average distortion. Focusing on the strong interference setting, we first derive necessary conditions on the achievable distortion pairs. Then, focusing on the symmetric scenario, we present achievable distortion pairs considering several transmission strategies. We compare the achievable distortion by the proposed schemes with the lower bound. In particular, we consider separate source and channel coding, uncoded transmission, a vector quantization (VQ) scheme which uses the quantization codewords as channel inputs, and finally a superposition of two quantization codewords. We show that the VQ scheme is optimal in the high SNR regime. We also show that the proposed superposition scheme performs very close to the lower bound in certain regimes.
2015
2015 IEEE Information Theory Workshop, ITW 2015
isr
2015
1
5
Aguerri, I. E.; Gunduz, D.
Gaussian joint source-channel coding for the strong interference channel / Aguerri, I. E.; Gunduz, D.. - (2015), pp. 1-5. (Intervento presentato al convegno 2015 IEEE Information Theory Workshop, ITW 2015 tenutosi a isr nel 2015) [10.1109/ITW.2015.7133109].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1202765
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