Large-scale MIMO frequency-crossing cooperation robust transmission method

Abstract

The invention relates to a large-scale MIMO (Multiple Input Multiple Output) frequency-crossing cooperative robust transmission method, which comprises the following steps of: firstly, deducing a precoding matrix expression with a maximized sum rate by using a Lagrange multiplier method and an MM iteration method aiming at accurate CSI (Channel State Information) on a high-frequency channel under an ideal condition; then, two error sources of uplink detection and channel outdated time are analyzed under non-ideal conditions, and second-order statistics of errors are modeled and expressed by means of statistical CSI of a low-frequency channel based on the basic principle of LS and MMSE estimation and a first-order Markov process; and finally, reconstructing channel information by using the error statistics and the channel estimation value, and substituting the channel information into the expression of the precoding matrix with the maximum sum rate to realize downlink robust transmission of the high-frequency channel. Compared with the traditional downlink precoding transmission method, the method provided by the invention has obvious sum rate performance gain.

Description

technical field [0001] The present invention specifically relates to modeling channel errors under non-ideal conditions with the help of statistical channel state information (CSI, Channel State Information) of low-frequency channels in cross-band communication systems, and using error modeling values ​​and channel estimation values ​​to reconstruct Channel CSI, in the process of substituting and rate maximizing precoding, realizes downlink robust transmission, which belongs to the field of communication. Background technique [0002] With the continuous development of Massive Multiple-Input Multiple-Output (MIMO, Multiple-Input Multiple-Output) communication technology, as the demand for channel capacity continues to increase, in the future communication system design, spectrum scarcity is also a problem that needs to be solved. The application of the communication system enables higher frequency resources to be discovered. Typical multi-frequency communication systems inc...

AI Technical Summary

Problems solved by technology

Under most conditions, on the one hand, the mobility of the channel leads to rapid changes in instantaneous information; on the other hand, in the case of low signal-to-noise ratio, there are errors in the channel detection value affected by noise, which will lead to the decline of precoding performance.

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