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Small cell micro base station frequency spectrum auction method based on neural network and time evolution

A neural network and time evolution technology, applied in the field of spectrum auction of small cells and micro base stations, can solve the problems of no connection between user bids and the interests of small cells and micro base stations, no consideration of multi-time, no bidding process, etc., to improve auction efficiency, The effect of increasing income and increasing rationality

Inactive Publication Date: 2017-10-13
GUILIN UNIV OF ELECTRONIC TECH
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AI Technical Summary

Problems solved by technology

[0011] 2) The existing auction allocation process stays in the static auction stage, without considering the multi-time situation
[0012] 3) The existing spectrum auction method does not link the user's bid with the benefits obtained from the purchase of frequency band communications by small cells and micro base stations
Usually only allocated for the presence or absence of interference, payment is made directly after allocation, there is no obvious bidding process

Method used

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  • Small cell micro base station frequency spectrum auction method based on neural network and time evolution
  • Small cell micro base station frequency spectrum auction method based on neural network and time evolution
  • Small cell micro base station frequency spectrum auction method based on neural network and time evolution

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Embodiment Construction

[0047] The present invention will be further described below in conjunction with the accompanying drawings, but the present invention is not limited thereto.

[0048] figure 1 The communication system model is shown. One macro base station covers several small cell micro base stations. Since micro base stations are not authorized, users of small cell micro base stations will bid for the shared frequency band as buyers. Among them, the small cell micro base station adopts beamforming technology to improve its signal-to-noise ratio during communication.

[0049] figure 2 A system model of a single neuron is shown, which weights three inputs simultaneously and outputs through an activation function.

[0050] image 3 The system model of the neural network using the BP algorithm is shown. The model consists of three inputs and four neurons in the hidden layer to adjust the weight, and the nonlinear relationship between the data is obtained through training.

[0051] Figure ...

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Abstract

The invention discloses a small cell micro base station frequency spectrum auction method based on the neural network and time evolution. In a two-layer heterogeneous network system formed by a macro cellular network, a small cell micro base station and a handset user, through establishing a frequency spectrum distribution auction model based on the neural network, authorization frequency spectrum provided by a macro cellular base station is divided into multiple time slots, time slot frequency spectrum is taken as commodity for auction by a selling side according to a set income function and an auction target function, after each round of auction of a buyer side, offering price adjustment is carried out according to the demand degree for the frequency spectrum and self income of the buyer side till the whole authorization frequency spectrum distribution process is accomplished. The method is advantaged in that user right of idle authorization frequency spectrum of the macro cellular base station can be reasonably distributed, a frequency spectrum utilization rate is improved, adjacent small cell micro base station interference is reduced, and communication quality and economic benefits are improved.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a method for auctioning frequency spectrum of small cells and micro base stations based on neural network and time evolution. Background technique [0002] Nowadays, more and more users rely on mobile communication. With the vigorous development of wireless communication, mobile communication has become an indispensable part of people's daily life. Correspondingly, the number of mobile terminals and the user's demand for spectrum resources also show a large increase. LTE-A, the upgraded version of the fastest commercial mobile communication technology, also has to face new challenges. In order to cope with the ever-increasing demand of mobile communication users, communication operators and equipment manufacturers will set up small cells and micro base stations. Set up multiple small cells and micro base stations under the macro cell to form a two-layer heterogeneo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/10H04W16/14H04W72/04H04W84/04G06N3/08
CPCH04W16/10G06N3/084H04W16/14H04W72/0453H04W84/042
Inventor 赵峰张淯易陈宏滨
Owner GUILIN UNIV OF ELECTRONIC TECH
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