Machine Learning and Analytical Power Consumption Models for 5G Base Stations

Power consumption model for macrocell and microcell base stations

In this paper, a power consumption model for both macrocell and microcell base stations is proposed. This model is validated by temporal power measurements on actual base stations and an excellent agreement is obtained. Furthermore, the power consumption’s evolution during the day is investigated by means of these measurements. The energy efficiency of three different wireless technologies is c...

A Review: Power Consumption at Base Stations in Wireless Networks

ABSRACT This paper deals with study and analysis of the investigating power consumption in wireless network and investigating the possible way to reduce the power consumption at Base Station. We also characterized the techniques of the power consumption in wireless network and to explain the latest work on this way. This paper is also showing that the effects of the techniques on power consumpt...

Compact massive MIMO antenna array for small 5G base stations

Machine Learning Models for Housing Prices Forecasting using Registration Data

This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...

Fuzzy based efficient drone base stations (DBSs) placement in the 5G cellular network

Currently, cellular networks are one of the essential communication methods for people. Providing proper coverage for the users and also offering high-quality services to them are two of the most important issues of concern in cellular networks. The fifth-generation cellular communication networks can provide higher data transmission rates, which lead to a higher quality of service but this hig...