Karataev A, Forsch C, Cottatellucci L (2024)
Publication Type: Journal article
Publication year: 2024
Book Volume: 5
Pages Range: 284-293
DOI: 10.1109/OJSP.2023.3348343
We consider a cell-free massive multiple-input multiple-output (CF-MaMIMO) communication system in the uplink transmission and propose a novel algorithm for blind or semi-blind joint channel estimation and data detection (JCD). We formulate the problem in the framework of bilinear inference and develop a solution based on the expectation propagation (EP) method for both channel estimation and data detection. We propose a new approximation of the joint a posteriori distribution of the channel and data whose representation as a factor graph enables the application of the EP approach using the message-passing technique, local low-complexity computations at the nodes, and an effective modeling of channel-data interplay. The derived algorithm, called bilinear-EP JCD, allows for a distributed implementation among access points (APs) and the central processing unit (CPU) and has polynomial complexity. Our simulation results show that it outperforms other EP-based state-of-the-art polynomial time algorithms.
APA:
Karataev, A., Forsch, C., & Cottatellucci, L. (2024). Bilinear Expectation Propagation for Distributed Semi-Blind Joint Channel Estimation and Data Detection in Cell-Free Massive MIMO. IEEE Open Journal of Signal Processing, 5, 284-293. https://dx.doi.org/10.1109/OJSP.2023.3348343
MLA:
Karataev, Alexander, Christian Forsch, and Laura Cottatellucci. "Bilinear Expectation Propagation for Distributed Semi-Blind Joint Channel Estimation and Data Detection in Cell-Free Massive MIMO." IEEE Open Journal of Signal Processing 5 (2024): 284-293.
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