Path Loss Prediction Formula in Urban Area for the Fourth-Generation Mobile Communication Systems

2008 ◽  
Vol E91-B (6) ◽  
pp. 1999-2009 ◽  
Author(s):  
K. KITAO ◽  
S. ICHITSUBO
Keyword(s):  
Urban Area ◽  
Mobile Communication ◽  
Communication Systems ◽  
Path Loss ◽  
Fourth Generation ◽  
Prediction Formula ◽  
Mobile Communication Systems ◽  
Loss Prediction ◽  
Path Loss Prediction

scholarly journals Path Loss Prediction Based on Machine Learning: Principle, Method, and Data Expansion

2019 ◽  
Vol 9 (9) ◽  
pp. 1908 ◽  
Author(s):  
Yan Zhang ◽  
Jinxiao Wen ◽  
Guanshu Yang ◽  
Zunwen He ◽  
Jing Wang
Keyword(s):  
Machine Learning ◽  
Communication Systems ◽  
Classical Model ◽  
Path Loss ◽  
Measured Data ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Loss Prediction ◽  
Path Loss Prediction ◽  
Data Expansion

Path loss prediction is of great significance for the performance optimization of wireless networks. With the development and deployment of the fifth-generation (5G) mobile communication systems, new path loss prediction methods with high accuracy and low complexity should be proposed. In this paper, the principle and procedure of machine-learning-based path loss prediction are presented. Measured data are used to evaluate the performance of different models such as artificial neural network, support vector regression, and random forest. It is shown that these machine-learning-based models outperform the log-distance model. In view of the fact that the volume of measured data sometimes cannot meet the requirements of machine learning algorithms, we propose two mechanisms to expand the training dataset. On one hand, old measured data can be reused in new scenarios or at different frequencies. On the other hand, the classical model can also be utilized to generate a number of training samples based on the prior information obtained from measured results. Measured data are employed to verify the feasibility of these data expansion mechanisms. Finally, some issues for future research are discussed.

Multi-access antenna for an opportunistic radio mobile communication of fourth generation

2009 ◽  
Vol 1 (6) ◽  
pp. 461-468 ◽  
Author(s):  
Walid El Hajj ◽  
François Gallée ◽  
Christian Person
Keyword(s):  
Spectrum Sensing ◽  
Mobile Communication ◽  
Communication Systems ◽  
Flexible Structures ◽  
Reconfigurable Antennas ◽  
Slot Antenna ◽  
Fourth Generation ◽  
Mobile Communication Systems ◽  
New Model ◽  
Multi Access

A new model of two-access reconfigurable antennas for future mobile communication systems is presented in this article. This structure is based on a slot antenna with two separated access ports, isolated and matched at 1 and 2 GHz, respectively. The novelty of this element lies in the fact that first a filtering structure is integrated in the antenna, and then any additional switching or frequency path selecting components that would induce losses and noise degradation is suppressed. Such flexible structures are assumed to be used in a future opportunistic radio, incorporating special features of “spectrum sensing”. The concept of the antenna illustrated by simulation and measurement is presented.

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