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Joint Sleep and Power Control Method for Femto Base Stations in Heterogeneous Cellular Networks

A femto base station and cellular network technology, applied in the field of joint sleep and power control of femto base stations, can solve problems such as excessive energy consumption, achieve the effects of reduced power control, faster convergence speed, and accurate prediction

Active Publication Date: 2022-03-22
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] In order to solve the above problems, the present invention provides a joint sleep and power control method for femto base stations in a heterogeneous cellular network. The method is aimed at the problem of excessive energy consumption in heterogeneous cellular networks, and is optimized to reduce the energy consumption of femto base stations. Objective, propose a joint sleep and power control method for femto base stations in heterogeneous cellular networks to reduce system energy consumption

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  • Joint Sleep and Power Control Method for Femto Base Stations in Heterogeneous Cellular Networks
  • Joint Sleep and Power Control Method for Femto Base Stations in Heterogeneous Cellular Networks
  • Joint Sleep and Power Control Method for Femto Base Stations in Heterogeneous Cellular Networks

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Embodiment 1

[0065] Such as figure 2 As shown, this embodiment is based on a heterogeneous cellular network environment. The heterogeneous cellular network is composed of a macro base station and a plurality of femto base stations. The spectrum bandwidth is shared between macro users and femto users. There will be macro base stations and femto base stations in the network. Interference between pico base stations, interference between femto base stations, interference between macro base stations and femto users, and interference between femto base stations and macro users. In this embodiment, set B={B 0 ,B 1 ,B 2 ,...,B b} means all base stations, b means the total number of base stations, {B 0} indicates a macro base station, and there are N in the macro base station m macro users, {B 1 ,B 2 ,...,B b} represents the femto base station within the coverage of the macro base station. The deployment of the femto base station follows that two base stations are arranged in pairs in adja...

Embodiment 2

[0095] In the present invention, the radial basis neural network is used to predict the traffic volume of the macro base station, and the radial basis prediction value is obtained, such as image 3 As shown, the radial basis neural network consists of three layers of neurons, which are input layer, hidden layer, output layer, and the hidden layer c. The activation function is Gaussian function. The working diagram of radial basis neural network is as follows image 3 shown.

[0096] The specific implementation method of calculating the radial basis prediction value by using the radial basis neural network includes: inputting the traffic volume of the macro base station at all time nodes in the past several time periods into the radial basis neural network, and inputting the traffic volume of the known time The volume is divided into R-dimensional (R days) data p, and the weights from the c hidden layers to the output layer are obtained by using the weight equations The weig...

Embodiment 3

[0122] In this embodiment, on the basis of the foregoing embodiments, this embodiment realizes joint optimization of femto base station dormancy and power control, and the specific steps are as follows:

[0123] Step 1: Initialize the parameters of the channel model (bandwidth, gain, etc.), and determine the initial information such as the minimum signal-to-interference-noise ratio of the user and the maximum transmission power of the base station;

[0124] Step 2: Establish an energy consumption optimization model;

[0125] Step 3: Use the radial basis function to input and output training samples according to the historical traffic volume of the macro base station, and obtain the radial basis prediction value;

[0126] Step 4: Perform error optimization on the radial basis prediction value to obtain the corrected prediction value;

[0127] Step 4: Calculate the dormancy ratio of the base station according to the revised prediction value And according to the dormancy ratio...

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Abstract

The present invention relates to the field of heterogeneous cellular networks of mobile communication technology, and in particular to a joint sleep and power control method for femto base stations in heterogeneous cellular networks, including: initializing the parameters of the channel model, establishing an energy consumption optimization model; using radial basis The neural network predicts the traffic volume of the macro base station, and obtains the radial basis prediction value; uses the error correction value to optimize the radial basis prediction value, and obtains the revised prediction value; calculates the dormancy ratio of the base station according to the revised prediction value, and performs Proportional random dormancy; the non-dormant base station is regarded as a particle, and its position is the current power value of the base station. The Lagrangian form of the energy consumption optimization model is used as the evaluation function, and the optimal femto base station group emission is obtained by using the particle swarm optimization algorithm iteratively. power. The invention realizes reasonable dormancy and effective power control for femto base station groups, thereby achieving the effect of reducing energy consumption.

Description

technical field [0001] The invention relates to the field of heterogeneous cellular networks of mobile communication technology, in particular to a joint sleep and power control method of a femto base station in a heterogeneous cellular network. Background technique [0002] With the release of the 5th generation wireless systems (5G) standard, the user traffic of the heterogeneous cellular network is gradually increasing, which will face a huge amount of data communication, and the energy consumption of the system will also decrease accordingly. Substantial improvement, the rapid development of wireless mobile communication will face two major problems, under the premise of meeting the huge user traffic, reduce the energy consumption of the system. Heterogeneous cellular networks are generally jointly deployed by macro base stations and other small base stations. The macro base station completes the basic coverage of the coverage area. Small base stations, such as femto bas...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W52/02H04W52/24G06N3/00G06N3/04
CPCH04W52/0206H04W52/244H04W52/241G06N3/006G06N3/045Y02D30/70
Inventor 刘涵霄苏开荣李云
Owner CHONGQING UNIV OF POSTS & TELECOMM
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