Large-Scale Fading Modeling Method for Interactive Off-Vitro Channels Based on Generalized Additive Model

Abstract

The present invention provides an interactive off-body channel large-scale fading modeling method based on a generalized additive model. Firstly, the purpose parameter to be modeled is determined according to the analysis of the body area network: average path loss, and related predictive variables: The distance between the transmitting and receiving antennas, the height of the transmitting antenna, and the direction angle of the human body patch antenna; the large-scale fading average path loss model is initialized according to the structural framework of its linear additive model, and the target variable and predictor variable are determined by the body and the environment in practice. Mathematical modeling of the influence of shading and scattering, fitting the relationship between predictive variable interaction, and obtaining a new interactive predictive variable statistical model, so that it can more accurately characterize the large-scale fading characteristics of the off-body channel, and at the same time In view of the need to build the model, a specific measurement method is proposed. Compared with the traditional generalized additive model, the common interaction between predictor variables is added, which is closer to the real measurement results.

Description

technical field [0001] The invention relates to the technical field of wireless communication, and mainly relates to an interactive off-body channel large-scale fading modeling method based on a generalized additive model. Background technique [0002] From the 1970s to the present, the mobile communication industry has experienced the development process from analog to digital, narrowband to broadband, and voice to multimedia. Body Area Networks (BANs) are small networks that operate in and around the human body and play a very important role in wireless systems. In the IMT-2020 plan, the cellular communication network and the body area network and the broader Internet of Things (IoT) tend to be more deeply integrated, and the body area network will become the fastest-growing, the most important field of application. Before designing a wireless system, an in-depth analysis of the wireless channel characteristics in the target frequency band, environment, and scenario shou...

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Problems solved by technology

[0003] In the prior art, someone proposes to use a generalized additive model, by separating the influence of each predictor variable on the target variable, respectively fitting its nonlinear function expression, and superimposing the influence of predictor variables through simple additive operations, It has a relatively fast and flexible modeling process, but it also ignores the important interaction between different predictor variables, which is seriously inconsistent with the actual situation

Secondly, the mathematical expression for describing shadow fading of each predictor variable is relatively abstract, and the interpretability of the model is low.

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