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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 models have a large amount of calculation; adaptive algorithms require more training sets, and slow iterations cannot achieve real-time forecasting; adaptive Kalman filter forecasting can improve forecasting accuracy , but requires channel statistics as additional overhead
Traditional algorithms focus on predicting the channel state in the short term or predicting the state in a stable channel, which cannot guarantee the efficient use of the channel and the reliable transmission of data at the same time

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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Embodiment Construction

[0042] In this example, refer to figure 1 , a 5G communication adaptive transmission method based on long-short-term multi-threshold channel state prediction, which is carried out in the following steps:

[0043] Step 1. Collect the historical channel statistical characteristic information set X and the corresponding channel state set Y of N data packet transmission offline through 5G radio equipment to form a historical data set, and divide the historical data set into M pieces with a length of k size data blocks; then divide M data blocks into training set T 1 and the test set T 2 ;

[0044] Step 2. Construct the number of input nodes is 1×k size LSTM neural network;

[0045] Step 3. Define the current iteration number of the LSTM neural network as μ, and initialize μ=0, and the maximum iteration number is μ max ; The parameters of each layer in the LSTM neural network are randomly initialized for the μth time, so as to obtain the LSTM neural network of the μth iteratio...

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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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