What is the automatic data configuration model of 5G co-construction and shared base stations?

This paper focuses on the automatic data configuration model of 5G co-construction and shared base stations. By interacting with the core network and wireless network, this model can identify and match different 5G network modes such as SA and NSA (including dual-anchor scenarios and single-anchor scenarios).

Do 5G communication base stations have multi-objective cooperative optimization?

This paper develops a method to consider the multi-objective cooperative optimization operation of 5G communication base stations and Active Distribution Network (ADN) and constructs a description model for the operational flexibility of 5G communication base stations.

What are the key technical solutions for 5G co-construction and sharing networks?

The article focused on several key technical solutions for 5G co-construction and sharing networks, including network architecture, NSA sharing technology solutions, and SA sharing evolution solutions. There were two main 5G shared network solutions, access network sharing and roaming in different networks.

What is the energy consumption of 5G communication base stations?

Overall, 5G communication base stations’ energy consumption comprises static and dynamic power consumption . Among them, static power consumption pertains to the reduction in energy required in 5G communication base stations that remains constant regardless of service load or output transmission power.

Do 5G communication base stations have active and reactive power flow constraints?

Analogous to traditional distribution networks, the operation of distribution systems incorporating 5G communication base stations must adhere to active and reactive power flow constraints.

Do 5G communication base stations engage in demand response?

In the above model, by encouraging 5G communication base stations to engage in Demand Response (DR), the Renewable Energy Sources (RES), and 5G communication base stations in ADN are concurrently scheduled, and the uncertainty of RES and communication load is described by using interval optimization method.