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Talks and Poster Presentations (with Proceedings-Entry):

S. C. Birgmeier, N. Görtz:
"Approximate Message Passing for Joint Activity Detection and Decoding in Non-orthogonal CDMA";
Talk: 23rd International ITG Workshop on Smart Antennas (WSA 2019), Wien; 04-24-2019 - 04-26-2019; in: "Proceedings International ITG Workshop on Smart Antennas (WSA 2019)", VDE Verlag, (2019), 53 - 57.



English abstract:
In Compressive Sensing, the knowledge of an unknown vectorīs statistical properties together with a small number of linear measurements makes it possible to reconstruct the vector with high accuracy in terms of minimum mean-squared error. A popular statistical property is sparsity of the unknown vector. The model can thus be applied to multi-user systems, where only a small number of users is active at a given time. In this paper, we show how the properties of the usersī channel code and approximate knowledge of the fraction of active users can be used to simultaneously detect user activity and the transmitted codeword, when the usersī code-symbols are transmitted by non-orthogonal spreading sequences. The main goal is to provide
a unified framework (based on compressed-sensing techniques) in which to describe and solve the joint detection-and-decoding problem by a single computationally highly efficient algorithm.

https://ieeexplore.ieee.org/document/8727194

German abstract:
In Compressive Sensing, the knowledge of an unknown vectorīs statistical properties together with a small number of linear measurements makes it possible to reconstruct the vector with high accuracy in terms of minimum mean-squared error. A popular statistical property is sparsity of the unknown vector. The model can thus be applied to multi-user systems, where only a small number of users is active at a given time. In this paper, we show how the properties of the usersī channel code and approximate knowledge of the fraction of active users can be used to simultaneously detect user activity and the transmitted codeword, when the usersī code-symbols are transmitted by non-orthogonal spreading sequences. The main goal is to provide
a unified framework (based on compressed-sensing techniques) in which to describe and solve the joint detection-and-decoding problem by a single computationally highly efficient algorithm.

https://ieeexplore.ieee.org/document/8727194

Keywords:
Signal Processing / Compressed Sensing / Approximate Message Passing

Created from the Publication Database of the Vienna University of Technology.