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A Quantum Computing Based Autoregressive Model Channel Prediction Method

An autoregressive model and quantum computing technology, applied in the field of parameter estimation of autoregressive models, can solve problems such as system performance loss and inaccuracy, and achieve the effect of reducing complexity

Active Publication Date: 2021-11-09
HANGZHOU DIANZI UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In an actual wireless communication system, due to the relative mobility between the sending end and the receiving end and the mobility of objects in the link path, the actual system channel is time-varying, especially when the channel changes quickly, the channel delay It will cause the channel state information (CSI) obtained by the sender to be very inaccurate, resulting in a great loss of system performance

Method used

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  • A Quantum Computing Based Autoregressive Model Channel Prediction Method
  • A Quantum Computing Based Autoregressive Model Channel Prediction Method
  • A Quantum Computing Based Autoregressive Model Channel Prediction Method

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Embodiment Construction

[0053] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0054] Such as figure 1 As shown, the autoregressive model channel prediction method based on quantum computing of the present invention comprises the following steps:

[0055] Step 1. Obtain the known channel value and set the order p of the AR model. The channel value at the next moment is predicted according to the channel value known at the current moment.

[0056]

[0057] where p is the order of the AR model, c n -1,...c n-p is the known channel value, d j is the coefficient of the AR model.

[0058] Step 2, use the least squares method to solve the estimated values ​​of the coefficients of the AR model Get the calculation formula;

[0059] Step 21: Estimate the coefficients of the AR model by least square estimation. When n≥p+1, the residual for

[0060]

[0061] where p is the order of the AR model, c n-1 ,... c n-p is the p...

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Abstract

The present invention proposes an autoregressive model channel prediction method based on quantum computing, including: step 1, obtaining known channel values, setting the order of the AR model, and predicting the channel value at the next moment according to the current known channel value; step 2 : Use the least squares method to solve the estimated value of the AR model coefficient to obtain the calculation formula; Step 3: Use quantum computing to solve the calculation formula to obtain the AR model coefficient |d> of the quantum state; Step 4: Define a set of measurement operators M ,via caculation <d|m|d>Obtain AR model coefficient estimates. The invention combines the least square estimation for solving AR model coefficients with quantum calculation, can effectively reduce the complexity of classical calculation, and the calculation result is equivalent to the existing coefficient estimation effect.< / d|m|d>

Description

technical field [0001] The invention relates to parameter estimation of an autoregressive model, in particular to an autoregressive model channel prediction method based on quantum calculation. Background technique [0002] In recent years, wireless communication technology has experienced rapid development, from the traditional voice service of the first generation of communication technology to the multimedia broadband service that is constantly being updated. People's communication tools have also changed from traditional mobile phones to smart phones and other electronic products, which requires the fourth-generation mobile communication system to provide higher-speed and more reliable communication services. In an actual wireless communication system, due to the relative mobility between the sending end and the receiving end and the mobility of objects in the link path, the actual system channel is time-varying, especially when the channel changes quickly, the channel d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/391H04L25/02
CPCH04L25/0242H04B17/3913
Inventor 翟光蔚曾嵘包建荣
Owner HANGZHOU DIANZI UNIV
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