End-to-End Power Models for 5G Radio Access Network
The objective of this paper is to formulate end-to-end power consumption models for three different 5G radio access network (RAN) deployment architectures, namely the 5G distributed
Machine Learning and Analytical Power Consumption Models for
oduce a new power consumption model for 5G active antenna units (AAUs), the highest power consuming component of a BS1 and in turn of a mobile network. I. particular, we present an
Power consumption based on 5G communication
This paper proposes a power control algorithm based on energy efficiency, which combines cell breathing technology and base station sleep technology to reduce base station energy consumption
Comparison of Power Consumption Models for 5G Cellular Network
A new power model structure is proposed in order to assess the power consumption of traditional base stations, their extensions, and alternative architectures such as large-scale antenna...
Power Consumption Modeling of 5G Multi-Carrier Base Stations: A
The fifth generation of the Radio Access Network (RAN) has brought new services, technologies, and paradigms with the corresponding societal benefits. However,
Power consumption analysis of access network in 5G mobile
The network power efficiency with the consideration of propagation environment and network constraints is investigated to identify the energy-efficient architecture for the 5G mobile
Optimal energy-saving operation strategy of 5G base station with
To further explore the energy-saving potential of 5 G base stations, this paper proposes an energy-saving operation model for 5 G base stations that incorporates communication caching and
Power Consumption Modeling of 5G Multi-Carrier Base Stations:
Importantly, this study item indicates that new 5G power consumption models are needed to accurately develop and optimize new energy saving solutions, while also considering the complexity emerging
Comparison of Power Consumption Models for 5G Cellular Network
Power consumption models for base stations are briefly discussed as part of the development of a model for life cycle assessment. An overview of relevant base station power
Modelling the 5G Energy Consumption using Real-world Data:
To address this, we propose a novel deep learning model for 5G base station energy consumption estimation based on a real-world dataset. Unlike existing methods, our approach integrates the Base