Prediction method, prediction system and application based on multi-order channel

A channel prediction and prediction algorithm technology, which is applied in transmission systems, transmission monitoring, electrical components, etc., can solve problems such as performance loss, performance gain is not obvious, and damage to the deployment effect of massive MIMO

Active Publication Date: 2020-02-21
HUAZHONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

K.T.Truong and R.W.Heath studied the influence of channel expiration under the simple autoregressive model of channel time variation, and proposed a linear finite impulse response (FIR) Wiener predictor, but the computational complexity is high and the performance gain is not obvious ( See details Figure 4-6 perfor

Method used

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  • Prediction method, prediction system and application based on multi-order channel
  • Prediction method, prediction system and application based on multi-order channel
  • Prediction method, prediction system and application based on multi-order channel

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Embodiment

[0173] Embodiment: Solving the mobility problem in massive MIMO by Prony multi-order channel prediction based on vectorization, specifically including:

[0174] 1. The present invention generalizes the classic Prony method to a vector form, and proposes Algorithm 1. Using this algorithm, the present invention can use previously obtained channel vector samples to predict future channel vectors instead of predicting the channel of each antenna, thereby making the prediction more efficient.

[0175] Mathematical notation: Except for special instructions, the present invention uses bold to represent matrices and vectors. Specifically, I represents the identity matrix; (x) T ,(x) * ,and(x) H Respectively represent the transpose, conjugate, and conjugate transpose of the matrix x; is the Moore-Penrose violation of x; tr{·} the trace of a square matrix; ||·|| 2 Represents a two-norm; ||·|| F is the Frobenius norm or F-norm of the matrix; Express expectations; is the Kronec...

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Abstract

The invention belongs to the technical field of channel prediction, and discloses a prediction method, a prediction system and an application based on a multi-order channel. The method comprises the steps of determining a channel model, popularizing a classical Prony method into a vector form, and propose an algorithm 1; and predicting a future channel vector through the algorithm 1 and by using an acquired channel vector sample. Aiming at the actual challenge-mobility problem of Massive MIMO, the invention provides the prediction method based on the multi-order channel, and the error-free channel prediction can be approximated when the known channel sample is accurate enough. If the known channel sample is inaccurate, the sample precision is improved based on a sub-space structure and thelong-term statistical information of the channel observation, so that the channel prediction precision can be improved. The method, the system and the application of the present invention can be applied to a 5G base station, or a future communication base station, and other wireless transmitting or receiving devices.

Description

technical field [0001] The invention belongs to the technical field of channel prediction of wireless communication, and in particular relates to a multi-stage channel prediction method, prediction system and application. Background technique [0002] Currently, the closest existing technology: massive multiple-input multiple-output (massive multiple-input multiple-output, or massive MIMO), is one of the key enablers of 5G cellular systems. Compared with traditional MIMO with fewer antennas, massive MIMO can provide, at least in theory, greater spectral efficiency and energy efficiency. One of the basic concepts is based on the fact that as the number of base station antennas increases, the orthogonality between the target UE's vector channel and the interfering UE's vector channel gradually increases, allowing the base station to eliminate interference through low-complexity precoding. But its premise is that the base station has known the channel state information (Channe...

Claims

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Application Information

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IPC IPC(8): H04B17/373H04B17/391
CPCH04B17/373H04B17/391
Inventor 尹海帆
Owner HUAZHONG UNIV OF SCI & TECH
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