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Deployment method of dense heterogeneous cellular network

A cellular network, heterogeneous technology, applied in the field of dense heterogeneous cellular network deployment, can solve the problem of not taking into account the optimal effect of user service quality and network energy consumption, without considering the optimization of base station density and base station transmit power and average user rate. And other issues

Active Publication Date: 2018-07-06
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] Therefore, the existing technology does not consider the requirements of optimizing base station density, base station transmission power and average user rate, that is, it does not take into account the optimal effect of user service quality and network energy consumption.

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  • Deployment method of dense heterogeneous cellular network
  • Deployment method of dense heterogeneous cellular network
  • Deployment method of dense heterogeneous cellular network

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[0065] In order to make the purpose, technical solution and beneficial effects of the present invention more clear, the following will describe in detail with reference to the accompanying drawings and specific embodiments.

[0066] Such as figure 1 As shown, the embodiment of the present invention provides a method for deploying a dense heterogeneous cellular network, which roughly includes six steps.

[0067] Step 1: Calculate the association probability A that the user associates with the Macro layer base station M , the association probability A that the user associates with the Femto layer base station F ; and the signal-to-interference-noise ratio SINR of the user located in the Macro layer base station M , the signal-to-interference-noise ratio SINR of the user located in the Femto layer base station F .

[0068] Such as figure 2 As shown, in the Macro-Femto two-layer dense heterogeneous cellular network, on the two-dimensional Euclidean plane (2-D Euclidean plane...

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Abstract

The invention provides a deployment method of a dense heterogeneous cellular network, belonging to the technical field of mobile communication. The method comprises the steps of first, calculating anassociation probability A<M> indicating that a user associates with an MBS layer, an association probability A<F> indicating that a user associates with an FBS layer, and an SINR<M> of the user in theMBS layer and an SINR<F> of the user in the FBS layer; second, calculating a coverage rate K and an average user rate R by using A<M>, A<F>, SINR<M> and SINR<F>; third, assuming that base stations are all in an activated state, calculating an average space power consumption (ASPC); fourth, resolving an optimal density Lambada <F,K> and a transmitting power P<F,K> of FBS under a condition that a target coverage rate is met; fifth, resolving an optimal density Lambada <F,R> and a transmitting power P<F,R> of FBS under a condition that a target average user rate is met; and sixth, selecting an optimal value from Lambada <F,K> and Lambada <F,R>, and selecting an optimal value from P<F,K> and P<F,R>. The base station density and the base station transmitting power are jointly optimized, so asto minimize the ASPC; and the method saves more energy than a solution optimizing only the base station density while delivering user services of high quality.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to a deployment method of a dense heterogeneous cellular network. Background technique [0002] In recent years, with the exponential growth of global smart mobile devices and people's huge demand for mobile data services, the traditional single-layer macro cell can no longer meet the needs of users. The 3GPP organization believes that the heterogeneous cellular network can meet the increasing traffic demand, improve the capacity of the system network, and conform to the idea of ​​saving energy consumption. The heterogeneous cellular network is to deploy some low-power microcells in the traditional macrocellular network, which can significantly increase the system capacity. However, deploying a large number of low-power microcells will generate a lot of energy consumption and interference. Therefore, the energy efficiency of cellular networks has become th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/18H04W28/08
CPCH04W16/18H04W28/08Y02D30/70
Inventor 王春生李云曹傧吴广富赵为粮
Owner CHONGQING UNIV OF POSTS & TELECOMM
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