The Energy Saving Measurement System and Method of Main Base Station
There are two parts in the energy saving calculation system and method of the main base station communication equipment.
There are two parts in the energy saving calculation system and method of the main base station communication equipment.
Before a 5G new radio (NR) base station or user equipment (UE) can be released onto the market, it must pass all necessary tests.
The results of research and calculations of reliability for ten different types of backup communication lines of the base station and the
The proposed capacity model and control methods are evaluated using a case study of a two-machine test system with 10,000 real 5G base stations, demonstrating the
The present invention relates to a method for determining a precoding matrix indicator, a user equipment UE, a base station eNB, and a system.
In radio communications, a base station is a wireless communications station installed at a fixed location and used to communicate as part of one of the
This guide presents background information to help law enforcement agencies analyze their base station equipment needs and select superior equipment to provide reliable communication
The results of research and calculations of reliability for ten different types of backup communication lines of the base station and the base station controller are presented.
The present invention relates to a method for determining a precoding matrix indicator, a user equipment UE, a base station eNB, and a system.
In radio communications, a base station is a wireless communications station installed at a fixed location and used to communicate as part of one of the following: a push-to-talk two-way radio
Before a 5G new radio (NR) base station or user equipment (UE) can be released onto the market, it must pass all necessary tests. Unless the products are 3GPP-compliant,
Abstract: The article discusses the issues of forecasting the reliability of base stations of cellular communication networks using machine learning algorithms. This task is
The article discusses the issues of forecasting the reliability of base stations of cellular communication networks using machine learning algorithms. This task is relevant, as
In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for
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