Communication Base Station Predictive Maintenance
Have you ever wondered how communication base station failures could drop by 60% through smarter maintenance strategies? As 5G deployment accelerates globally, operators face
To properly examine an energy-optimised network, it is very crucial to select the most suitable EE metric for 5G networks. EE is the ratio of transmitted bits for every joule of energy expended. Therefore, while measuring it, different perspectives need to be considered such as from the network or user's point of view.
Currently, the timely reliability is 0.76, which obviously cannot meet the actual transmission requirements. Therefore, it is necessary to consider the timely reliability in the 5 G base station location.
To solve the 5 G base station optimization location considering timely reliability, we propose a novel NDPR model considering the signal strength deterioration and the actual data transmission process in wireless sensor networks, which can provide better service qualities for the users.
Mathematical model The proposed optimal 5 G base station location model considering timely reliability is as follows. The objective function of the model is that the total building cost of the base station is the lowest while meeting the demand for timely data transmission, (23) Minimize Total building cost ( T B C) = ∑ r ∈ R x r C b r.
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