Wireless network node deployment optimization method, system and device

Abstract

The invention discloses a wireless network node deployment optimization method, system and device. The method specifically comprises the following steps: establishing a D2D node distribution model ina limited wireless network based on a binomial point process; on the basis of the model, deploying the millimeter waves in a limited wireless network; setting D2D antenna models, establishing a general model of blocking, channel distribution and path fading; deducing an SINR distribution model and distance distribution from a target receiver to a transmitter in a sight distance range based on a D2D node distribution model and the universal model; and completing laplace transformation derivation of interference power based on distance distribution and characteristics of a binomial point process, and finally, according to a coverage probability definition formula, acquiring an accurate expression of the coverage probability at a target receiver by utilizing the laplace transformation of thedistance distribution and the interference power. the method is demonstrated to be capable of accurately describing the coverage probability in the limited wireless network based on the numerical simulation results.

Description

technical field [0001] The invention belongs to the technical field of wireless communication networks, and in particular relates to a wireless network node deployment optimization method, system and device. Background technique [0002] With the rapid development of mobile Internet devices and digital multimedia, mobile data traffic is increasing rapidly, and the available spectrum resources in the microwave frequency band seem to be unable to meet the needs of future mobile communications, so people are very interested in the research of new frequency bands, millimeter wave frequency band It is considered to be an important part of the fifth generation (5G) cellular network due to the large amount of available spectrum resources. Compared with the existing microwave communication, the millimeter wave communication has the following characteristics: (1) the wavelength is small, which helps to deploy a huge antenna array on the transceiver to improve the array gain; (2) the ...

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Problems solved by technology

[0003] Random geometry theory is used to study millimeter wave and D2D communication. Homogeneous Poisson point process is often used to model large-scale random networks due to its simplicity and ease of handling, but it cannot be used for finite networks with a given number of nodes. modeling

With the popularization of mmWave communication, building a D2D network with a limited area in the cellular network may become the mainstream demand. In this case, the homogeneous Poisson point process has many inapplicability.

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