Millimeter wave large-scale MIMO system MMSE-PCA channel estimation method based on beam selection

Abstract

The invention provides a millimeter wave large-scale MIMO system MMSE-PCA channel estimation method based on beam selection. The method comprises the following steps: firstly, selecting a beam signalon a base station side by taking MMSE precoding as an amplitude maximization standard; secondly, using a PCA channel compression method at a receiving end, to perform compression and dimension reduction on a channel; and finally, performing channel estimation by using a classical least square method (LS). MMSE precoding can reduce channel noise in the system and interference among users, and reduce the number of radio frequency links used by a base station, so that the implementation cost and energy loss of the system can be reduced. Meanwhile, the PCA compresses high-dimensional data into low-dimensional data by using the correlation of the original high-dimensional data. According to the method, on the basis of reducing the system complexity, the purposes of effectively optimizing the system transmission performance and improving the energy efficiency are achieved.

Description

Technical field: [0001] The invention relates to the field of wireless communication, in particular to a method for MMSE-PCA channel estimation of a millimeter wave massive MIMO system based on beam selection. Background technique: [0002] With the continuous development of modern electronic information technology, my country's mobile communication technology has achieved fruitful results. The vigorous promotion of 4G mobile networks in my country has greatly improved people's life experience and production methods. Currently, the fifth-generation mobile communication technology (5G) for 2020 is still in its infancy. Millimeter-wave massive multiple-input multiple-output (MIMO) is a key technology for future 5G wireless communications because of its wider bandwidth and higher spectral efficiency, which can significantly increase data rates. However, with the rapid growth of the number of mobile communication users and the rate of wireless data transmission, the existing sp...

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Problems solved by technology

However, in the all-digital precoding scheme, each antenna must correspond to an RF link. As the number of base station antennas and the number of users continue to increase, the number of RF links required by the system will also increase, resulting in an increase in system implementation costs. , and cause huge energy loss

This leads to unaffordable hardware cost and energy consumption for mmWave massive MIMO systems, as the number of antennas becomes huge (e.g., 256 antennas) and the energy consumption of the RF chains is high (e.g., each RF chain at mmWave frequencies about 250mW)

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