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Mobile communication system intelligent prediction method based on improved convolutional neural network

A mobile communication system, convolutional neural network technology, applied in the field of mobile communication

Active Publication Date: 2020-09-15
QINGDAO UNIV OF SCI & TECH
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The wireless mobile communication environment has become increasingly complex, diverse and dynamic, which has brought great challenges to intelligent mobile communication

Method used

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  • Mobile communication system intelligent prediction method based on improved convolutional neural network
  • Mobile communication system intelligent prediction method based on improved convolutional neural network
  • Mobile communication system intelligent prediction method based on improved convolutional neural network

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Embodiment 1

[0053] An intelligent prediction method for mobile communication systems based on improved convolutional neural networks, including the following parts

[0054] S1: Establish a mobile cooperative communication system model and select 2-Nakagami communication channel;

[0055] like figure 1 As shown, the mobile cooperative communication system model is firstly established, a mobile source (MS), multiple mobile relays (MR), and a mobile destination (MD) together form a mobile cooperative communication system, and the communication channel is selected as 2- Nakagami channel; MS has N t root transmit antenna, MD has N r 1 receiving antenna, MR uses 1 antenna.

[0056] In order to represent the channel gain of the 3 links MS→MR, MS→MD, MR→MD, we define the variable h=h g , g∈{SR,SD,RD}. We use G SR ,G SD ,G RD Respectively represent the position gain of MS→MR, MS→MD, MR→MD links. G SD = 1.

[0057] The total transmission power of MS and MR is E, and K is the power distribu...

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Abstract

The invention discloses a mobile communication system intelligent prediction method based on an improved convolutional neural network, and the method comprises the steps: building a mobile cooperativecommunication system model, and selecting a 2-Nakagami communication channel; for a transmitting antenna selection scheme, deriving a closed expression of the OP performance of the communication system; selecting a CNN model, removing a pooling layer in the model, taking channel parameters influencing the OP performance of a communication system as input of the model, carrying out training through a training sample to obtain the mobile communication system intelligent prediction model based on the improved convolutional neural network. Compared with an existing algorithm, the prediction method provided by the invention is better in performance, and the feasibility and effectiveness of the method are verified.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to an intelligent prediction method for a mobile communication system based on an improved convolutional neural network. Background technique [0002] In recent years, with the explosive growth of the number of users, the fifth generation mobile communication technology has received extensive attention. With the rapid development of 5G mobile technology, various new devices and application scenarios are constantly emerging, and business types are becoming more and more diversified, resulting in complex communication with rapid expansion of communication service data, uneven temporal and spatial distribution of mobile users, and heterogeneous coexistence of multiple networks. surroundings. The current mobile communication field is facing many technical challenges such as intelligence, broadband, diversification, and integration. Therefore, the complex and c...

Claims

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Application Information

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IPC IPC(8): H04W24/06H04W16/22G06N3/04G06N3/08
CPCH04W24/06H04W16/22G06N3/08G06N3/045
Inventor 徐凌伟权天祺张威龙周新鹏王涵李辉陶冶
Owner QINGDAO UNIV OF SCI & TECH
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