Nonlinear Iterative Chebyshev Based Demodulation Algorithm With Eigenvalues Estimates Of The Channel Matrix For Massive MIMO Systems

Autor:	D. Y. Pankratov, A. G. Stepanova
Rok vydání:	2020
Předmět:	Matrix (mathematics) Approximation theory Minimum mean square error Computational complexity theory business.industry Iterative method Computer science Demodulation business Algorithm Chebyshev filter Digital signal processing Computer Science::Information Theory
Zdroj:	2020 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO).
DOI:	10.1109/synchroinfo49631.2020.9166003
Popis:	Massive MIMO systems are planned to be widely used in 5G networks due to their high spectral efficiency. However, for large number of antennas, the complexity of digital signal processing increases significantly. Very urgent is the task of developing new demodulation algorithms with acceptable computational complexity and high efficiency. In this paper, we propose a nonlinear demodulation algorithm based on the Chebyshev iterative method that does not require knowledge of the eigenvalues of the MIMO channel matrix. To evaluate the effectiveness of the proposed algorithm we compare it with a demodulator that is optimal according to the criteria of minimum mean square error (MMSE), which has the same order of complexity.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::777f48657c41cac2d295e964f11c10e5 https://doi.org/10.1109/synchroinfo49631.2020.9166003 Zobrazit plný text záznamu