Interference-Aware OFDM Receiver for Channels with Sparse Common Supports

Oana-Elena Barbu, Carles Navarro Manchón, Mihai Alin Badiu, Christian Rom, Tommaso Balercia, Bernard Henri Fleury

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citation (Scopus)

Resumé

We design an algorithm for OFDM receivers operating in co-channel interference conditions, where the serving and interfering transmitters are synchronized in time. The channel estimation problem is formulated as one of sparse signal reconstruction using multiple measurement vectors. The proposed design harnesses the sparse common support of, respectively, the desired and interfering MIMO sub-channels by adopting a Bernoulli-Gaussian prior for the weights of the impulse responses of these sub-channels. Then, applying a variational Bayesian inference method we derive an algorithm that performs joint channel estimation, interference cancellation and decoding. Simulation results show how the performance of the proposed receiver depends on its knowledge of the interfering signals' modulation and code. When these are known, our receiver approaches the performance of a genie-aided receiver with perfect interference cancellation. Even with mismatched assumptions on the modulation, our proposed implementation still outperforms receivers which neglect the interference.
OriginalsprogEngelsk
Titel2017 IEEE International Conference on Communications (ICC)
Antal sider7
ForlagIEEE
Publikationsdato2017
ISBN (Elektronisk)978-1-4673-8999-0
DOI
StatusUdgivet - 2017
BegivenhedIEEE International Conference on Communications 2017 - Paris, Frankrig
Varighed: 21 maj 201725 maj 2017
http://icc2017.ieee-icc.org/

Konference

KonferenceIEEE International Conference on Communications 2017
LandFrankrig
ByParis
Periode21/05/201725/05/2017
Internetadresse
NavnIEEE International Conference on Communications
ISSN1938-1883

Fingerprint

Channel estimation
Orthogonal frequency division multiplexing
Modulation
Signal reconstruction
Impulse response
MIMO systems
Decoding
Transmitters

Citer dette

Barbu, O-E., Manchón, C. N., Badiu, M. A., Rom, C., Balercia, T., & Fleury, B. H. (2017). Interference-Aware OFDM Receiver for Channels with Sparse Common Supports. I 2017 IEEE International Conference on Communications (ICC) IEEE. IEEE International Conference on Communications https://doi.org/10.1109/ICC.2017.7997356
Barbu, Oana-Elena ; Manchón, Carles Navarro ; Badiu, Mihai Alin ; Rom, Christian ; Balercia, Tommaso ; Fleury, Bernard Henri. / Interference-Aware OFDM Receiver for Channels with Sparse Common Supports. 2017 IEEE International Conference on Communications (ICC). IEEE, 2017. (IEEE International Conference on Communications).
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title = "Interference-Aware OFDM Receiver for Channels with Sparse Common Supports",
abstract = "We design an algorithm for OFDM receivers operating in co-channel interference conditions, where the serving and interfering transmitters are synchronized in time. The channel estimation problem is formulated as one of sparse signal reconstruction using multiple measurement vectors. The proposed design harnesses the sparse common support of, respectively, the desired and interfering MIMO sub-channels by adopting a Bernoulli-Gaussian prior for the weights of the impulse responses of these sub-channels. Then, applying a variational Bayesian inference method we derive an algorithm that performs joint channel estimation, interference cancellation and decoding. Simulation results show how the performance of the proposed receiver depends on its knowledge of the interfering signals' modulation and code. When these are known, our receiver approaches the performance of a genie-aided receiver with perfect interference cancellation. Even with mismatched assumptions on the modulation, our proposed implementation still outperforms receivers which neglect the interference.",
author = "Oana-Elena Barbu and Manch{\'o}n, {Carles Navarro} and Badiu, {Mihai Alin} and Christian Rom and Tommaso Balercia and Fleury, {Bernard Henri}",
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Barbu, O-E, Manchón, CN, Badiu, MA, Rom, C, Balercia, T & Fleury, BH 2017, Interference-Aware OFDM Receiver for Channels with Sparse Common Supports. i 2017 IEEE International Conference on Communications (ICC). IEEE, IEEE International Conference on Communications, Paris, Frankrig, 21/05/2017. https://doi.org/10.1109/ICC.2017.7997356

Interference-Aware OFDM Receiver for Channels with Sparse Common Supports. / Barbu, Oana-Elena; Manchón, Carles Navarro; Badiu, Mihai Alin; Rom, Christian ; Balercia, Tommaso; Fleury, Bernard Henri.

2017 IEEE International Conference on Communications (ICC). IEEE, 2017. (IEEE International Conference on Communications).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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T1 - Interference-Aware OFDM Receiver for Channels with Sparse Common Supports

AU - Barbu, Oana-Elena

AU - Manchón, Carles Navarro

AU - Badiu, Mihai Alin

AU - Rom, Christian

AU - Balercia, Tommaso

AU - Fleury, Bernard Henri

PY - 2017

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N2 - We design an algorithm for OFDM receivers operating in co-channel interference conditions, where the serving and interfering transmitters are synchronized in time. The channel estimation problem is formulated as one of sparse signal reconstruction using multiple measurement vectors. The proposed design harnesses the sparse common support of, respectively, the desired and interfering MIMO sub-channels by adopting a Bernoulli-Gaussian prior for the weights of the impulse responses of these sub-channels. Then, applying a variational Bayesian inference method we derive an algorithm that performs joint channel estimation, interference cancellation and decoding. Simulation results show how the performance of the proposed receiver depends on its knowledge of the interfering signals' modulation and code. When these are known, our receiver approaches the performance of a genie-aided receiver with perfect interference cancellation. Even with mismatched assumptions on the modulation, our proposed implementation still outperforms receivers which neglect the interference.

AB - We design an algorithm for OFDM receivers operating in co-channel interference conditions, where the serving and interfering transmitters are synchronized in time. The channel estimation problem is formulated as one of sparse signal reconstruction using multiple measurement vectors. The proposed design harnesses the sparse common support of, respectively, the desired and interfering MIMO sub-channels by adopting a Bernoulli-Gaussian prior for the weights of the impulse responses of these sub-channels. Then, applying a variational Bayesian inference method we derive an algorithm that performs joint channel estimation, interference cancellation and decoding. Simulation results show how the performance of the proposed receiver depends on its knowledge of the interfering signals' modulation and code. When these are known, our receiver approaches the performance of a genie-aided receiver with perfect interference cancellation. Even with mismatched assumptions on the modulation, our proposed implementation still outperforms receivers which neglect the interference.

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Barbu O-E, Manchón CN, Badiu MA, Rom C, Balercia T, Fleury BH. Interference-Aware OFDM Receiver for Channels with Sparse Common Supports. I 2017 IEEE International Conference on Communications (ICC). IEEE. 2017. (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2017.7997356