Channel Feedback Method for Massive MIMO Systems Based on Space-Time Correlation

Abstract

The invention discloses a large-scale MIMO (Multiple-Input Multiple-Output) system channel feedback method based on spatial- temporal correlation. The method comprises the following steps that: 1, a receiving end obtains current time slot downlink channel condition information, and then calculates difference between adjacent time slot channels; 2, the receiving end compresses difference signals between the adjacent time slot channels by a compressive sensing technology, and feeds back to a transmitting end through an uplink feedback channel; 3, the transmitting end restores the currently received feedback signals, which are fed back to the transmitting end, through an orthogonal matching pursuit technology; 4, the transmitting end combines the previous time slot channel information with a restoring value of the current received feedback signals, and obtains the current time slot downlink channel condition information. According to the invention, the compressive sensing technology and the channel characteristics of temporal correlation and spatial correlation are used, by a simple and easy sparse change of base, the transmitting end is not required to master correlation matrixes of downlink channels, and feedback load can be reduced effectively under the premise of guaranteeing precision of channel feedback.

Description

technical field [0001] The invention belongs to the technical field of channel estimation and feedback in communication systems, and in particular relates to a channel feedback method for a massive MIMO system based on space-time correlation. technical background [0002] MIMO (Multiple-Input Multiple-Output) technology refers to the use of multiple transmitting antennas and receiving antennas at the transmitting end and receiving end, respectively, so that signals are transmitted and received through multiple antennas at the transmitting end and receiving end, thereby improving communication quality. It can make full use of space resources, realize multiple transmissions and multiple receptions through multiple antennas, and can double the system channel capacity without increasing spectrum resources and antenna transmission power. It has many advantages such as high power efficiency, and has become the next generation of mobile Communication is one of the core technologies...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the defects of the prior art, and provide a channel feedback method for massive MIMO systems based on space-time correlation, which uses compressed sensing technology to combine the characteristics of time correlation and space correlation of channels, and is simple and easy to implement. The sparse basis transformation method does not require the transmitter to master the correlation matrix of the downlink channel, which can reduce the feedback load while ensuring the accuracy of channel feedback, and effectively solve the channel feedback load with the increase in the number of antennas in massive MIMO systems. The problem of taking up too much bandwidth

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