A graphical user interface for use with one or more radios in a network can include any number of interfaces for providing access to features associated with one or more radios or the network.

Systems and methods are described for automated detection of border conflicts in physical radiofrequency (RF) communication network infrastructures. For example, proposed sector antennas in a greenfield physical network deployment may be licensed to radiate in certain spectrum blocks in the mapped licensed geographic regions (mLGR) where they are located, but the licenses may not permit radiated power in those spectrum blocks to cross into adjacent mLGRs. Embodiments compute radiation contours for the sector antennas indicating estimated local power levels computed based on antenna characteristics of the sector antennas and propagation model data that defines geographic morphologies for the mLGRs. The radiation contours are analyzed to detect any border conflict conditions where the estimated local power levels exceed defined threshold radiation levels in unlicensed regions. A culprit set of the sector antennas can be output to indicate those responsible for detected border conflict conditions.

Systems and methods are described for automated detection of border conflicts in physical radiofrequency (RF) communication network infrastructures. For example, proposed sector antennas in a greenfield physical network deployment may be licensed to radiate in certain spectrum blocks in the mapped licensed geographic regions (mLGR) where they are located, but the licenses may not permit radiated power in those spectrum blocks to cross into adjacent mLGRs. Embodiments compute radiation contours for the sector antennas indicating estimated local power levels computed based on antenna characteristics of the sector antennas and propagation model data that defines geographic morphologies for the mLGRs. The radiation contours are analyzed to detect any border conflict conditions where the estimated local power levels exceed defined threshold radiation levels in unlicensed regions. A culprit set of the sector antennas can be output to indicate those responsible for detected border conflict conditions.

Facilitating analysis and resource planning for advanced heterogeneous networks (e.g., 5G, 6G, and beyond) is provided herein. A system is provided that includes a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can include determining that a resource is to be added to existing resources at a grid level of a heterogeneous network. Further, the operations can include selecting candidate locations for placement of the resource based on a coverage-driven objective and a capacity-driven objective defined for the heterogeneous network. The coverage-driven objective can be associated with a demand for services within the grid level of the heterogeneous network. The capacity-driven objective can be associated with demand growth within the grid level of the heterogeneous network. The resource can be a fifth generation millimeter wave node or a cloud radio access network node.

Facilitating analysis and resource planning for advanced heterogeneous networks (e.g., 5G, 6G, and beyond) is provided herein. A system is provided that includes a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can include determining that a resource is to be added to existing resources at a grid level of a heterogeneous network. Further, the operations can include selecting candidate locations for placement of the resource based on a coverage-driven objective and a capacity-driven objective defined for the heterogeneous network. The coverage-driven objective can be associated with a demand for services within the grid level of the heterogeneous network. The capacity-driven objective can be associated with demand growth within the grid level of the heterogeneous network. The resource can be a fifth generation millimeter wave node or a cloud radio access network node.

A spectrum refarm system defines, for each of multiple geographic regions, a spectrum set that represents telecommunications spectrum blocks in use in a corresponding geographic region and a first distribution of technical allocations of each spectrum set. The first distribution of technical allocations for an identified spectrum set specifies telecommunications technologies that are deployed on the spectrum blocks in the identified spectrum set and a number of the spectrum blocks on which each technology is deployed. The spectrum refarm system can maintain the spectrum sets in a data store and modify information in the data store to cause a distribution of technical allocations for a first spectrum set to change from a respective first distribution to a second distribution. Information in the data store is also modified to cause a distribution of technical allocations for a second spectrum set to change from a respective first distribution to a third distribution.

A spectrum refarm system facilitates visual refarming of spectrum blocks. The system retrieves data defining a set of telecommunications spectrum blocks that are licensed by a telecommunications network within a selected geographic region, where each spectrum block is allocated to one or more technologies to facilitate communications transmitted according to a protocol defined within each technology. The system generates an interactive diagram representing the set of telecommunications spectrum blocks and identifying a first technology deployed on each of the telecommunications spectrum blocks at a first time. In response to at least one user input directed to the interactive diagram, the system defines a second technology to be deployed on at least one of the telecommunications spectrum blocks during a second time. The system then causes the at least one telecommunications spectrum block to transition from the first technology to the second technology at a time corresponding to the second time.

Systems and methods to identify a growth classification/categorization for a geographic area that helps a network provider to solve for what types of planning opportunities are available at various area granularities is disclosed. The system computes values for a set of growth criteria for a geographic area. The growth criteria are related to planning, usability, customer experience, sales, population, and so on. Based on the growth-criteria values, the system identifies a classification/categorization for the area. For example, the system classifies an area as an invest area (e.g., requiring engineering action), a grow area (e.g., requiring sales action/being sales ready), a defend area (e.g., requiring engineering and sales actions to continue current trend), or a fix area (e.g., likely requiring both engineering and sales actions to improve current trend). Based on the area classification, the system can then provide actionable insights to drive improvement in network coverage and customer experience.

Systems and methods to identify a growth classification/categorization for a geographic area that helps a network provider to solve for what types of planning opportunities are available at various area granularities is disclosed. The system computes values for a set of growth criteria for a geographic area. The growth criteria are related to planning, usability, customer experience, sales, population, and so on. Based on the growth-criteria values, the system identifies a classification/categorization for the area. For example, the system classifies an area as an invest area (e.g., requiring engineering action), a grow area (e.g., requiring sales action/being sales ready), a defend area (e.g., requiring engineering and sales actions to continue current trend), or a fix area (e.g., likely requiring both engineering and sales actions to improve current trend). Based on the area classification, the system can then provide actionable insights to drive improvement in network coverage and customer experience.

Systems and methods are provided herein to dynamically and efficiently optimize network expansion of a network carrier based on UE data collected from a plurality of user equipment (UEs). The UE data is processed based on different computerized algorithms to locate optimal locations for adding a new access point to expand the network. Aspects herein are also directed to systems and methods for generating and displaying dynamic maps on graphical user interfaces (GUI) in accordance with aspects herein.