Forsch C, Karataev A, Cottatellucci L (2024)
Publication Type: Conference contribution
Publication year: 2024
Publisher: IEEE
City/Town: New York City
Pages Range: 531-535
Conference Proceedings Title: 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
DOI: 10.1109/SPAWC60668.2024.10694527
We consider the uplink of a grant-free cell-free massive multiple-input multiple-output (GF-CF-MaMIMO) system. We propose an algorithm for distributed joint activity detection, channel estimation, and data detection (JACD) based on expectation propagation (EP) called JACD-EP. We develop the algorithm by factorizing the a posteriori probability (APP) of activities, channels, and transmitted data, then, mapping functions and variables onto a factor graph, and finally, performing a message passing on the resulting factor graph. If users with the same pilot sequence are sufficiently distant from each other, the JACD-EP algorithm is able to mitigate the effects of pilot contamination which naturally occurs in grant-free systems due to the large number of potential users and limited signaling resources. Furthermore, it outperforms state-of-the-art algorithms for JACD in GF-CF-MaMIMO systems.
APA:
Forsch, C., Karataev, A., & Cottatellucci, L. (2024). Distributed Joint User Activity Detection, Channel Estimation, and Data Detection via Expectation Propagation in Cell-Free Massive MIMO. In 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (pp. 531-535). Lucca, IT: New York City: IEEE.
MLA:
Forsch, Christian, Alexander Karataev, and Laura Cottatellucci. "Distributed Joint User Activity Detection, Channel Estimation, and Data Detection via Expectation Propagation in Cell-Free Massive MIMO." Proceedings of the 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lucca New York City: IEEE, 2024. 531-535.
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