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Large-scale access method for edge intelligent network

A technology of intelligent network and access method, which is applied in network planning, biological neural network model, neural learning method, etc., can solve the problems of low spectrum efficiency, low calculation efficiency, and high delay, and achieve high spectrum efficiency and calculation delay. Low, the effect of suppressing interference

Active Publication Date: 2021-06-04
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problems of limited communication, low computing efficiency, high time delay, and low spectrum efficiency in the above solution when large-scale mobile devices access, the present invention proposes a large-scale access method for edge intelligent networks

Method used

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  • Large-scale access method for edge intelligent network
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  • Large-scale access method for edge intelligent network

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Embodiment Construction

[0037] In this embodiment, the system block diagram of the large-scale access method oriented to the edge intelligent network is as follows figure 1 As shown, the base station has N antennas, and K single-antenna mobile devices access the wireless network through this base station to perform federated learning. In each round of learning, the base station first selects some devices according to the channel state information, and broadcasts the global model through the downlink design of the transmit beam. Each selected device restores the global model through the receiver, and trains a new local model based on the local data set, and then transmits it after beamforming. Utilizing the superposition characteristics of the wireless channel, through the receiver, the base station can directly obtain the aggregation model calculated in the air, and then calculate its weighted average as an updated global model.

[0038] The specific technical scheme adopted in this embodiment is as...

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Abstract

The invention discloses a large-scale access method for an edge intelligent network. A cell deploys a multi-antenna base station as an edge server, and a large number of mobile devices are accessed to a wireless network through the base station for federated learning. In each round of learning, a base station firstly selects part of equipment, and a transmitting beam broadcast global model is designed through a downlink. After each selected device recovers the global model through the receiver, a new local model is trained based on the local data set, and then the new local model is sent out after beam forming. The superposition characteristic of a wireless channel is utilized, through a receiver, a base station can directly obtain an aggregation model which is calculated in the air, and then the weighted average of the aggregation model is calculated to serve as an updated global model. The invention provides an effective large-scale access method for the edge intelligent network.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a large-scale access method for edge intelligent networks. Background technique [0002] In recent years, with the advent of the Internet of Everything era, the number of mobile devices and the amount of data they generate have exploded. According to a Cisco report, the number of connected devices worldwide will increase from 17.1 billion in 2016 to 27.1 billion in 2021, and the amount of data generated by devices will also increase from 218ZB in 2016 to 847ZB. Faced with such a huge number of devices and massive data, the Internet of Things can combine advanced information processing technologies such as data mining, artificial intelligence, etc. to extract useful information for calculation, analysis and processing, so as to realize information interaction and interaction between people and things, things and things. Seamless connection, empowering various intelligent IoT...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/22H04W16/28H04W24/06H04L25/02G06N3/04G06N3/08
CPCH04W16/22H04W16/28H04W24/06H04L25/0204G06N3/08G06N3/045
Inventor 齐俏陈晓明
Owner ZHEJIANG UNIV
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