Joint channel estimation and co-channel interference cancellation in wireless networks using belief propagation

Yan Zhu; Dongning Guo; Michael Honig

doi:10.1109/ICC.2008.212

Joint channel estimation and co-channel interference cancellation in wireless networks using belief propagation

Yan Zhu, Dongning Guo, Michael Honig

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

This paper studies signal detection in wireless networks where the uncertainty is due to fading as well as a strong co-channel interference of the same form as that of the desired signal. In particular, unlike for the desired signal, no pilot for the interference signal is available for measuring its fading channel state. Still, the interference is a non-Gaussian process and treating it as Gaussian noise can lead to poor performance. We propose a joint channel estimation and interference mitigation scheme based on belief propagation, which is capable of fully exploiting the statistics of the interference. Simulation results show that the receiver performs significantly better compared to conventional receivers with linear channel estimation.

Original language	English
Title of host publication	Proceedings of IEEE International Conference on Communications Workshops
DOIs	https://doi.org/10.1109/ICC.2008.212
State	Published - 2008
Event	Proceedings of IEEE International Conference on Communications Workshops - Beijing, China Duration: May 19 2008 → …

Conference

Conference	Proceedings of IEEE International Conference on Communications Workshops
Period	5/19/08 → …

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10.1109/ICC.2008.212

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title = "Joint channel estimation and co-channel interference cancellation in wireless networks using belief propagation",

abstract = "This paper studies signal detection in wireless networks where the uncertainty is due to fading as well as a strong co-channel interference of the same form as that of the desired signal. In particular, unlike for the desired signal, no pilot for the interference signal is available for measuring its fading channel state. Still, the interference is a non-Gaussian process and treating it as Gaussian noise can lead to poor performance. We propose a joint channel estimation and interference mitigation scheme based on belief propagation, which is capable of fully exploiting the statistics of the interference. Simulation results show that the receiver performs significantly better compared to conventional receivers with linear channel estimation.",

author = "Yan Zhu and Dongning Guo and Michael Honig",

year = "2008",

doi = "10.1109/ICC.2008.212",

language = "English",

booktitle = "Proceedings of IEEE International Conference on Communications Workshops",

note = "Proceedings of IEEE International Conference on Communications Workshops ; Conference date: 19-05-2008",

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TY - GEN

T1 - Joint channel estimation and co-channel interference cancellation in wireless networks using belief propagation

AU - Zhu, Yan

AU - Guo, Dongning

AU - Honig, Michael

PY - 2008

Y1 - 2008

N2 - This paper studies signal detection in wireless networks where the uncertainty is due to fading as well as a strong co-channel interference of the same form as that of the desired signal. In particular, unlike for the desired signal, no pilot for the interference signal is available for measuring its fading channel state. Still, the interference is a non-Gaussian process and treating it as Gaussian noise can lead to poor performance. We propose a joint channel estimation and interference mitigation scheme based on belief propagation, which is capable of fully exploiting the statistics of the interference. Simulation results show that the receiver performs significantly better compared to conventional receivers with linear channel estimation.

AB - This paper studies signal detection in wireless networks where the uncertainty is due to fading as well as a strong co-channel interference of the same form as that of the desired signal. In particular, unlike for the desired signal, no pilot for the interference signal is available for measuring its fading channel state. Still, the interference is a non-Gaussian process and treating it as Gaussian noise can lead to poor performance. We propose a joint channel estimation and interference mitigation scheme based on belief propagation, which is capable of fully exploiting the statistics of the interference. Simulation results show that the receiver performs significantly better compared to conventional receivers with linear channel estimation.

U2 - 10.1109/ICC.2008.212

DO - 10.1109/ICC.2008.212

M3 - Conference contribution

BT - Proceedings of IEEE International Conference on Communications Workshops

T2 - Proceedings of IEEE International Conference on Communications Workshops

Y2 - 19 May 2008

ER -

Joint channel estimation and co-channel interference cancellation in wireless networks using belief propagation

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