5G base stations operate by using multiple input and multiple output (MIMO) antennas to send and receive more data simultaneously compared to previous generations of mobile networks. They are designed to handle the increased data traffic and provide higher speeds by operating in higher frequency bands, such as the millimeter-wave spectrum.
5G networks divide coverage areas into smaller zones called cells, enabling devices to connect to local base stations via radio. Each station connects to the broader telephone network and the Internet through high-speed optical fiber or wireless backhaul.
5G Base Stations: Compared to 4G base stations, 5G brings higher data throughput and power density, significantly increasing heat generation. Therefore, the performance requirements for thermal materials are much higher. ● Small/Micro Base Stations: These base stations are compact, with limited space, making thermal design more challenging.
Two deployment options are defined for 5G: the "Non-Stand Alone" (NSA) architecture, where the 5G Radio Access Network (AN) and its New Radio (NR) interface is used in conjunction with the existing LTE and EPC infrastructure Core Network (respectively 4G Radio and 4G Core), thus making the NR technology available without network replacement.
Firstly, in terms of energy equipment, the electrical component characteristics of the 5 G base station's constituent units are modeled, including air conditioning loads, power supply systems, and energy storage systems.
The energy storage system is used to store excess electrical energy during low communication demand periods and release it during high communication demand periods, in order to balance power supply and demand, as well as improve the stability and flexibility of power supply to the various components of the 5 G base station.
1) For energy equipment, the power component characteristic constraints of the 5 G base station units, including the air conditioning load characteristic constraints ((1), (2), (3)), power system characteristic constraints (Eq. (4)), and energy storage system characteristic constraints ((5), (6), (7), (8)).
This paper proposes an energy-saving operation model of 5 G base station that incorporates communication caching and linearization techniques. On one hand, the model characterizes the electrical consumption characteristics within the 5 G base station, focusing on each electrical component.
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