Energy Profiling and Analysis of 5G Private Networks: Evaluating Energy Consumption Patterns

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Islam, Johirul, Ahmad, Ijaz, Gimhana, Shakthi, Markkula, Juho, Harjula, Erkki
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917853692690432
author Islam, Johirul
Ahmad, Ijaz
Gimhana, Shakthi
Markkula, Juho
Harjula, Erkki
author_facet Islam, Johirul
Ahmad, Ijaz
Gimhana, Shakthi
Markkula, Juho
Harjula, Erkki
contents Private 5G networks provide enhanced security, a wide range of optimized services through network slicing, reduced latency, and support for many IoT devices in a specific area, all under the owner's full control. Higher security and privacy to protect sensitive data is the most significant advantage of private networks, in e.g., smart hospitals. For long-term sustainability and cost-effectiveness of private 5G networks, analyzing and understanding the energy consumption variation holds a greater significance in reaching toward green private network architecture for 6G. This paper addresses this research gap by providing energy profiling of network components using an experimental laboratory setup that mimics real private 5G networks under various network conditions, which is a missing aspect in the existing literature.
format Preprint
id arxiv_https___arxiv_org_abs_2412_01634
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Energy Profiling and Analysis of 5G Private Networks: Evaluating Energy Consumption Patterns
Islam, Johirul
Ahmad, Ijaz
Gimhana, Shakthi
Markkula, Juho
Harjula, Erkki
Systems and Control
Private 5G networks provide enhanced security, a wide range of optimized services through network slicing, reduced latency, and support for many IoT devices in a specific area, all under the owner's full control. Higher security and privacy to protect sensitive data is the most significant advantage of private networks, in e.g., smart hospitals. For long-term sustainability and cost-effectiveness of private 5G networks, analyzing and understanding the energy consumption variation holds a greater significance in reaching toward green private network architecture for 6G. This paper addresses this research gap by providing energy profiling of network components using an experimental laboratory setup that mimics real private 5G networks under various network conditions, which is a missing aspect in the existing literature.
title Energy Profiling and Analysis of 5G Private Networks: Evaluating Energy Consumption Patterns
topic Systems and Control
url https://arxiv.org/abs/2412.01634