Successive column-wise matrix inversion update for Large Scale Massive MIMO reciprocity calibration


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Ahmed Ouameur, M. et Massicotte, D. (2019, April 15-19). Successive column-wise matrix inversion update for Large Scale Massive MIMO reciprocity calibration. Dans 2019 IEEE Wireless Communications and Networking Conference (WCNC), Marrakesh, Morocco DOI 10.1109/WCNC.2019.8885770.

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In this paper we consider an efficient method to resolve the underlying large matrix inversion problem inherent in the antennas' mutual coupling based reciprocity calibration. Such calibration enables the downlink pre-coding using the uplink channel estimates in a time-division-duplex (TDD) massive MIMO systems. Based on least squares estimators, a large matrix inversion is required. Herein, we derive an efficient method based on successively updating a matrix inverse by exploiting the Gram matrix structure. The simulation results reveal that our proposed method performs as well as the direct matrix inversion (based on Cholesky decomposition) whereas the approximation techniques based on Gauss Seidel (GS) and Neumann series expansions (NSE) require a large number of iterations. The proposed method is computationally efficient and lend itself for an efficient parallel and pipelined architecture implementation.

Type de document: Document issu d'une conférence ou d'un atelier
Mots-clés libres: Massive MIMO Reciprocity calibration Gauss Seidel Neumann series expansions Cholesky decomposition Least square Matrix inversion lemma Precoding
Date de dépôt: 09 mai 2022 13:25
Dernière modification: 09 mai 2022 15:25

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