Work

Evaluation of the power-saving effect of 5G base station based on AI

Year: 2024

Type: conference-paper

Abstract: The research and application of energy-saving technology for 5G wireless networks are significant for the emission-reduction work of Communication Operators. The traditional power-saving effect evaluation scheme of Active Antenna Unit (AAU) is complicated, leading to errors in the final evaluation results possibly. This paper proposes a LightGBM-based power-saving effect evaluation method of AAU, improving the efficiency and quality of AAU.

Source: International Conference on Communication and Information Processing (ICCIP)

DOI: 10.1145/3708657.3708673

Authors: Yuan Fang, Sheng Zhang, Feng Gao, Yao Cen, Xinte Qi, Ao Shen, Yunlong Liu, Jifeng Lv

Institutions: China Mobile Group Design Institute Co., Ltd. (China), China Mobile (China)

Language: English

Topic: Advanced MIMO Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: bronze

OpenAlex ID: W4410859160

FWCI:

Cites: 5

Cited by:

Related to: 10