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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)


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.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications (ICC)
Number of pages7
Publication date2017
ISBN (Electronic)978-1-4673-8999-0
Publication statusPublished - 2017
EventIEEE International Conference on Communications 2017 - Paris, France
Duration: 21 May 201725 May 2017


ConferenceIEEE International Conference on Communications 2017
Internet address
SeriesIEEE International Conference on Communications

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