Predicting the Frequency Bands and the Path Loss in Wireless Communication Systems using Random Forests-Reference-Cited by-同舟云学术

Predicting the Frequency Bands and the Path Loss in Wireless Communication Systems using Random Forests

Published:2022-10-20 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
language:
Short-container-title:

Author:

Senthilkumar C.¹,Nirmala P¹,Ahila S. Sobitha²,Geetha M²,Ramesh S.¹

Affiliation:

1. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India,602105

2. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9951706/9951861/09951963.pdf?arnumber=9951963

Reference12 articles.

1. Evolution of mobile generation technology;benisha;International Journal of Recent Technology and Engineering (IJRTE),2019

2. A Real-Time Channel Prediction Model Based on Neural Networks for Dedicated Short-Range Communications

3. Path Loss Modeling: A Machine Learning Based Approach Using Support Vector Regression and Radial Basis Function Models

4. Distributed Crash Free Media Access Control Protocol for Underwater Sensor Network;ramkumar;2021 5th International Conference on Trends in Electronics and Informatics (ICOEI),2021

5. Comparative Analysis of Major Machine-Learning-Based Path Loss Models for Enclosed Indoor Channels

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance Evaluation of GeoAI-Based Approach for Path Loss Prediction in Cellular Communication Networks;Wireless Personal Communications;2024-09-12