5G communication adaptive transmission method based on long-short-term multi-threshold channel state prediction

An adaptive transmission and channel state technology, applied in the direction of transmission modification based on link quality, adjustment of transmission mode, transmission system, etc., can solve problems such as external interference, low delay, and large amount of model calculation due to the harsh characteristics of wireless channels. Achieve the effect of avoiding the complex situation of the coding scheme, improving the accuracy and improving the reliability

Pending Publication Date: 2021-03-26
STATE GRID ANHUI ELECTRIC POWER +1
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Problems solved by technology

[0002] 5G communication technology has the characteristics of large bandwidth, low delay, and high reliability. Based on 5G wireless communication, it needs to achieve higher-speed reliable data transmission in a limited frequency band, but the harsh characteristics of wireless channels and complex and changeable external interference, Challenges to information transmission technology
[0003] Traditional forecasting methods such as AR models are not suitable for long-term forecasting; SOS-based mode

Method used

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  • 5G communication adaptive transmission method based on long-short-term multi-threshold channel state prediction
  • 5G communication adaptive transmission method based on long-short-term multi-threshold channel state prediction
  • 5G communication adaptive transmission method based on long-short-term multi-threshold channel state prediction

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Example Embodiment

[0042]In this embodiment, referencefigure 1 , A 5G communication adaptive transmission method predicted based on a multi-door channel state prediction is performed as follows:

[0043]Step 1, through 5G radio offline, acquiring the historical channel statistical characteristic information set X and its corresponding channel status set y and constitutes historical data set, and the historical data set is divided into M length K.Size Data block; divide M data blocks into training set T1And test set T2;

[0044]Step 2, build the number of input nodes is 1 × kSize LSTM neural network;

[0045]Step 3: Defining the current iteration number of LSTM neural networks is μ, and initializes μ = 0, the maximum number of iterations is μMax The parameters of each layer in the LSTM neural network are first randomized, thereby obtaining the μ-atened LSTM neural network;

[0046]Step 4, define and initialize the parameters θ of the first trainingμ = 0, defined initialization of the μ-order change variable Kμ = 0...

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Abstract

The invention discloses a 5G communication adaptive transmission method based on long-short-term multi-threshold channel state prediction. The method comprises the following steps: 1, collecting historical channel statistical property samples and channel state samples corresponding to the historical channel statistical property samples through 5G radio equipment; 2, constructing a neural network based on LSTM; 3, updating neural network parameters of the LSTM through an adaptive gradient descent algorithm; 4, proposing a multi-threshold algorithm to optimize the network; 5, dynamically selecting a redundant block according to the predicted channel state to improve the reliability of data transmission. According to the invention, the channel prediction takes time correlation into consideration while fitting the transmitting signal model to the receiving signal model, so that the prediction precision can be improved, the proportion of redundant blocks can be dynamically adjusted according to the channel state, and the reliability of data transmission in 5G communication is improved.

Description

technical field [0001] The invention relates to a 5G communication adaptive transmission method based on long-short-term multi-threshold channel state prediction, and belongs to the field of wireless communication. Background technique [0002] 5G communication technology has the characteristics of large bandwidth, low delay, and high reliability. Based on 5G wireless communication, it needs to achieve higher-speed reliable data transmission in a limited frequency band, and the harsh characteristics of wireless channels and complex and changeable external interference, It brings challenges to information transmission technology. In order to adaptively track dynamic channel changes and introduce FEC (forward error correction technology) to reduce the impact of channel fading on data transmission, the channel state must be predicted. [0003] Traditional forecasting methods such as AR models are not suitable for long-term forecasting; SOS-based models have a large amount of c...

Claims

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Application Information

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IPC IPC(8): H04L5/00H04L1/00
CPCH04L5/0057H04L1/0006
Inventor 于洋章昊谢民王同文张代新陈峰丁津津叶远波程晓平王栋邵庆祝俞斌张骏
Owner STATE GRID ANHUI ELECTRIC POWER
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