US-12627570-B2 - Systems and methods for communications node upgrade and selection

US12627570B2US 12627570 B2US12627570 B2US 12627570B2US-12627570-B2

Abstract

In one implementation for the identification of connection areas in a telecommunications network, a customer set is obtained for a communications node in the telecommunications network. The customer set includes an existing connection type and a collection of network sites including the connection type is generated from the customer set. An overlay of customer sites without the connection type may be applied to the collection of network sites to generate an intersection of non-connected customer sites within the collection of network sites including the connection type. The intersection provides an indication of underserviced sites connection to the telecommunication network for potential network growth.

Inventors

William Gray
James Sayre
Stephen Limburg

Assignees

LEVEL 3 COMMUNICATIONS, LLC

Dates

Publication Date: 20260512
Application Date: 20240202

Claims (3)

1 . A method for providing telecommunications services in a telecommunications network, the method comprising: obtaining a site footprint of a geographic region having a plurality of sites associated with a connection type of the telecommunications network; classifying each of the plurality of sites without the connection type based on a number of network source keys associated with a corresponding site of the plurality of sites; generating one or more buildable subgroups each defining geospatial boundaries of a build area of the connection type and each having a subset of the plurality of sites; intersecting the one or more buildable subgroups with geospatial locations of a plurality of sites without the connection type; and generating a telecommunications build plan for providing the connection type to at least one of the plurality of sites without the connection type when a geospatial location of the at least one of the plurality of sites intersects with the one or more buildable subgroups.
2 . The method of claim 1 further comprising: subdividing the plurality of sites without the connection type based on the classification of each of the plurality of sites without the connection type.
3 . The method of claim 2 wherein generating the telecommunications build plan is based at least on the subdivision of the plurality of sites without the connection type based on the classification.

Description

TECHNICAL FIELD Aspects of the present disclosure relate to a method and system for intelligently upgrading or adding nodes in a communications network according to one or more distinct investment clusters, and in particular to an artificial intelligence network for simulating customer events over time for a node in a communications network and generating a model of an impact of the customer events from which nodes may be added or the node upgraded. BACKGROUND Communications networks provide Internet service to a plethora of customers having disparate preferences on service types and price points. Such communications networks generally include one or more wire centers dispersed in the regions serviced by the network. A wire center connects to a plurality of sites, such as living units, business units, and/or the like, associated with the customers via one or more communications nodes, such as cross connects. Each of the communications nodes may involve a different node type, such as central office fed internet protocol (CoIP), fiber to the node (FTTN), fiber to the home/fiber to the premise (FTTH/FTTP), etc. The node type generally dictates the type of services that may be provided to a customer. Determining whether the node type of a particular communications node is suitable for the associated customer population is a labor intensive process involving significant resources and time. Further, the customer population for a given communications node may change dramatically over time, such that information is frequently outdated or incomplete. Exacerbating these challenges, if the decision is made to change the node type for the communications node, additional resources and time are expended to modify the structural architecture of the communications node in accordance with the new node type. Where this decision is made on outdated or incomplete information, these expenditures may be in vain, where the new node type fails to align to the preferences of the associated customer population. Additionally, if the change is not made timely, the associated customer population may decline. It is with these observations in mind, among others, that various aspects of the present disclosure were conceived. SUMMARY Implementations described and claimed herein address the foregoing problems by providing systems and methods for intelligent node type selection in a telecommunications network. In one implementation, a customer set is obtained for a communications node in the telecommunications network. The customer set includes an existing customer set and a new customer set. A set of customer events is generated for a node type of the communications node using a simulator. The set of customer events is generated by simulating the customer set over time through a discrete event simulation. An impact of the customer events is modeled for the node type of the communications node. The node type is identified from a plurality of node types for a telecommunications build based on the impact of the customer events for the node type. In another implementation, an existing customer set including a plurality of existing customers corresponding to a plurality of sites connected to a wire center through a communications node having a current node type is obtained. For each existing customer in the existing customer set, a first time until an upgrade event occurs for the first customer is determined, and a second time until a disconnect event occurs for the first customer is determined. A selection is made for each customer based on the whether the first time or the second time occurs next as a next event for that customer. The existing customer set is then sorted into a sorted customer set according to a time until the next event for each of the plurality of existing customers. The sorted customer set includes a first customer having a first occurring next event of the next events. A third time until a next event for existing customers or a new sales event occurs for a new customer is determined. A customer event is generated for the customers when the earlier of the first time and the second time occurs before the third time. In another implementation, an existing customer set including a plurality of existing customers corresponding to a plurality of sites connected to a wire center through a communications node having a current node type is obtained. For each existing customer a simulation is independently completed, and then the simulations are combined to represent a fully simulated set of existing customers and new customers. The process to simulate each existing customer starts by identifying if there is an active service at the site. For sites with an active service, a first time until an upgrade event occurs is determined and a second time until a disconnect event occurs is determined. These two times are compared to determine the next event and next event time. This next event is then processed, and the simulation continues a