2017 European Conference on Networks and Communications (EuCNC) 2017
DOI: 10.1109/eucnc.2017.7980706
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Analysis of out-of-band interference from saturated power amplifiers in Massive MIMO

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Cited by 13 publications
(12 citation statements)
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“…The radiation pattern of the nonlinear distortion from large arrays has recently attracted attention because of its potential impact on the performance of massive MIMO systems [2]. Papers such as [3], [4] have suggested that the distortion combines non-coherently at the served users and vanishes with an increasing number of transmit antennas. These results were also corroborated to some extent (for in-band distortion) via simulations in [5].…”
Section: Introductionmentioning
confidence: 99%
“…The radiation pattern of the nonlinear distortion from large arrays has recently attracted attention because of its potential impact on the performance of massive MIMO systems [2]. Papers such as [3], [4] have suggested that the distortion combines non-coherently at the served users and vanishes with an increasing number of transmit antennas. These results were also corroborated to some extent (for in-band distortion) via simulations in [5].…”
Section: Introductionmentioning
confidence: 99%
“…Employing a classical and powerful approach within a stochastic and static framework, a 2 × 2 OFDM-modulated MIMO transmitter is considered and studied in detail, and is subjected to correlated input streams, crosstalk, and nonlinear compression. The analysis complements previous analyses such as [20] and [21] which use a stochastic framework and take the temporal dimension into account. The employed approach provides insights into the problem at hand in a compact way.…”
Section: Introductionmentioning
confidence: 65%
“…We assume that the parameters of the behavioral model, i.e., the number of bits q and the step size ∆, are known to the BS. (7) and (10) into (12) we can write the discrete-time channel input-output relation, including the BS-side nonlinearities, in matrix form as…”
Section: Analog-to-digital Converter: Behavioral Modelmentioning
confidence: 99%