Multi-objective interval planning for 5G base station
First, on the basis of in-depth analysis of the operating characteristics and communication load transmission characteristics of
This paper explores the integration of distributed photovoltaic (PV) systems and energy storage solutions to optimize energy management in 5G base stations. By utilizing IoT characteristics, we propose a dual-layer modeling algorithm that maximizes carbon efficiency and return on investment while ensuring service quality.
Research indicates that the energy consumption of 5G base stations is approximately three to four times higher compared to 4G base stations, raising concerns about sustainability and operational costs, The main reasons for this result are twofold. The theoretical peak downlink rate of 5G networks is 12.5 times that of 4G networks.
1. This study integrates solar power and battery storage into 5G networks to enhance sustainability and cost-efficiency for IoT applications. The approach minimizes dependency on traditional energy grids, reducing operational costs and environmental impact, thus paving the way for greener 5G networks. 2.
Often referred to as the brain center, this includes: Baseband Unit (BBU): Handles baseband signal processing. Remote Radio Unit (RRU): Converts signals to radio frequencies for transmission. Active Antenna Unit (AAU): Integrates RRU and antenna for 5G-era efficiency. 2. Power Supply System
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