Chrome Extension
WeChat Mini Program
Use on ChatGLM

Channel Modeling Based on Transformer Symbolic Regression for Inter-Satellite Terahertz Communication

Yuanzhi He, Biao Sheng, Zhiqiang Li

APPLIED SCIENCES-BASEL(2024)

Cited 0|Views4
No score
Abstract
Channel modeling is crucial for inter-satellite terahertz communication system design. The conventional method involves manually constructing a mathematical channel model, which is labor-intensive, and using a neural network directly as a channel model lacks interpretability. This paper introduces a channel modeling approach based on symbolic regression. It is the first time that using transformer neural networks as the implementation tool of symbolic regression to generate the mathematical channel model from the channel data directly. It can save manpower and avoid the interpretability issue of using neural networks as a channel model. The feasibility of the proposed method is verified by generating a free space path loss model from simulation data in the terahertz frequency band.
More
Translated text
Key words
symbolic regression,channel modeling,terahertz,artificial intelligence
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined