Low-complexity array antenna multi-input multi-output system hybrid precoding algorithm

Abstract

The invention discloses a low-complexity array antenna multi-input multi-output system hybrid precoding algorithm, which comprises the following steps: giving an initial solution for calculating the optimal coding of an antenna sub-array and the maximum calculation times, and obtaining an effective channel matrix of a part of connection architectures; calculating an auxiliary vector in combinationwith the initial solution and the effective channel matrix, and screening out the auxiliary vector with the maximum modulus value as a characteristic value vector; judging the value of the current calculation frequency, and obtaining an intermediate result; obtaining a current calculation result according to the intermediate result and the auxiliary vector; repeating calculation until the maximumcalculation frequency is reached, obtaining an intermediate result and a calculation result, further calculating to obtain an optimal code of each antenna sub-array in the partial connection architecture system, and obtaining a hybrid precoding matrix of the partial connection architecture system in combination with the optimal code of each antenna sub-array. According to the method, on the basisof existing hardware connection, the calculation complexity and the consumption time of a large-scale antenna coding matrix can be reduced, and the network transmission delay can be shortened.

Description

[0001] 【Technical field】 [0002] The invention belongs to the technical field of mobile communication, and in particular relates to a low-complexity array antenna multiple-input multiple-output system hybrid precoding algorithm. [0003] 【Background technique】 [0004] In order to meet the explosive growth of mobile data traffic in the fifth generation (5G) mobile communication, 5G adopts the 30-300GHz millimeter wave frequency band, which greatly improves the spectrum resources. [0005] Due to the relatively short wavelength of millimeter wave, the physical size of the antenna array is greatly reduced, so large-scale antennas can be installed at the base station, so that the millimeter wave system can be perfectly combined with massive Massive MIMO technology. Therefore, Massive MIMO technology has become the focus of domestic and foreign scholars' research on mobile communications. [0006] With the development and research of hybrid beamforming technology in Massive MIMO ...

AI Technical Summary

Problems solved by technology

However, these algorithms are based on a fully connected architecture, which is not only difficult to implement in hardware, but also has a high algorithm complexity.

[0007] Since the MMSE hybrid precoding algorithm using OMP iteration based on sparse scattering requires large-scale matrix inversion and singular value decomposition calculations, the computational complexity is high. Therefore, the requirements for hardware structure design are also relatively high, and hardware needs to be redesigned. connection, which increases the data storage requirements in the base station and increases the network transmission delay

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