Deployment method of dense heterogeneous cellular network

Abstract

The invention proposes a deployment method of a dense heterogeneous cellular network, which belongs to the technical field of mobile communication. The method includes: 1. Calculate the association probability A that the user associates with the MBS layer M , the association probability A that the user associates with the FBS layer F ; and the signal-to-interference-noise ratio SINR of users located at the MBS layer M , the signal-to-interference-noise ratio SINR of users located at the FBS layer F ; 2. Use A M 、A F 、SINR M and SINR F to calculate the coverage rate K and the average user rate R; 3. Assuming that the base stations are in the active state, calculate the average area power consumption ASPC; 4. Find the optimal density and transmit power of FBS under the condition of meeting the target coverage rate 5. Find The optimal density and transmission power of FBS under the condition of meeting the target average user rate 6. Select the optimal value in and; select the optimal value in and. Jointly optimize base station density and base station transmission power to achieve the lowest average area power consumption ASPC, and save more energy than the solution that only considers optimizing base station density under the premise of ensuring user service 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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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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