Intelligent propagation model method for rsrp prediction based on machine learning

S Wu, BJ Ma, JR Zhang, SS Zheng… - … on Computer and …, 2021 - ieeexplore.ieee.org
The radio propagation model predicts the propagation characteristics of radio waves in the
objective communication overlay area, estimates the coverage area of cells, network …

Research on wireless intelligent propagation model based on Deep Learning

M Wu, C Li, C Song - 2020 IEEE 9th Joint International …, 2020 - ieeexplore.ieee.org
In order to better meet the growing and diversified market demand of users, mobile
operators need to deploy a large number of base stations to improve the quality of radio …

Radio Wave Propagation Prediction Based on Path Sequence Regression

CLZ Huang, Y Wang, M Liang, J Hu… - 2020 IEEE 6th …, 2020 - ieeexplore.ieee.org
In this paper, a new method for radio wave propagation prediction based on path sequence
regression is proposed. Firstly, in single antenna and single cell scenarios, the features of …

A study on the variety and size of input data for radio propagation prediction using a deep neural network

T Hayashi, T Nagao, S Ito - 2020 14th European Conference …, 2020 - ieeexplore.ieee.org
Not only has the volume of mobile traffic been increasing exponentially in recent years,
making various services available, such as IoT and connected cars moving at high speed …

A new method for radio wave propagation prediction based on bp-neural network and path loss model

Y Wang, MY Liang, J Hu, T Song - 2020 12th International …, 2020 - ieeexplore.ieee.org
In this paper, a new method for radio wave propagation prediction based on BP neural
network and simplified path loss model is proposed. The method is based on a large amount …

Random forests based path loss prediction in mobile communication systems

R He, Y Gong, W Bai, Y Li… - 2020 IEEE 6th International …, 2020 - ieeexplore.ieee.org
When deploying communication systems, an accurate wireless propagation model is
important to ensure the quality of service covering the region. Due to the complex radio …

Study on radio propagation prediction by machine learning using urban structure maps

T Nagao, T Hayashi - 2020 14th European Conference on …, 2020 - ieeexplore.ieee.org
In recent years, mobile data traffic has been increasing, and high-quality mobile
communication services are required. Therefore, it is essential to understand the complex …

Research on coverage ability assessment of high and low frequency based on machine learning

T Xiao, G Liu, G Xu, Y Li, X Cheng, L Xu… - … on Information and …, 2021 - ieeexplore.ieee.org
With the rapid construction of 5G network in China, how to guide reasonable network
planning and construction through accurate network coverage ability assessment, and build …

A machine learning based intelligent propagation model for rsrp prediction

S Wu, B Ma, T Ye, J Zhang, W Shao… - … seminar on computer …, 2022 - ieeexplore.ieee.org
Wireless propagation model modeling is of great significance for system design and base
station deployment of 5G network-Traditional models are limited to a variety of propagation …

Radio map estimation using a generative adversarial network and related business aspects

SK Vankayala, S Kumar, I Roy… - 2021 24th …, 2021 - ieeexplore.ieee.org
Radio maps are widely used in the network resource management of 5G communication
systems. However, a frequent radio map update is expensive and inefficient in practice …