A Hybrid Precoding Approach for Large-Scale MIMO Systems

Abstract

The invention discloses a hybrid precoding method applicable to a massive MIMO system, comprising the following steps: the transmitting end calculates the optimal pure digital precoding matrix; the transmitting end calculates the analog precoding matrix and the digital precoding matrix respectively based on the response vector sequence ; The transmitting end uses the analog precoding matrix and the digital precoding matrix to precode the transmitted signal, and then sends the encoded signal through the antenna; the receiving end calculates the optimal unconstrained combination matrix; the receiving end calculates the analog The combination matrix of the domain and the combination matrix of the digital domain; the receiving end uses the combination matrix of the analog domain and the combination matrix of the digital domain to combine the received signals. The invention directly decomposes the singular value of the matrix composed of the array response vector sequence, and extracts the phase information of the analog phase shifter from the response vector sequence without iterative search, thereby effectively reducing the computational complexity.

Description

technical field [0001] The present invention relates to a coding method, in particular to a hybrid precoding method suitable for massive MIMO systems. Background technique [0002] The massive multiple-input multiple-output (Massive MIMO) system can deeply explore the spatial freedom by configuring a large-scale antenna array for the base station, so that it can use the same time-frequency resource to serve multiple users. It is regarded as the fifth generation of mobile communication (5G) is one of the most important physical layer key technologies. For a Massive MIMO system, due to the limitation of energy consumption and system cost, precoding design is particularly important. In traditional MIMO systems, due to the small number of antennas, configuring the same number of radio frequency (RF) links as antennas will not bring high implementation complexity, energy consumption, and cost. Therefore, all-digital technology is usually used to pair signals at baseband Preproc...

AI Technical Summary

Problems solved by technology

[0004] In a massive MIMO system, although the use of hybrid precoding greatly reduces the number of RF links and thus reduces the power consumption of the RF links, the power consumption of the large-scale phase shifter network is relatively large

Due to the unit modulus limitation of a single phase shifter, the optimization problem of hybrid precoding is a non-convex problem with high computational complexity

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