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MicrosoftGranted patentNetworks & wirelessInterest 6/10

Microsoft patents system that uses AI to plan network capacity

Microsoft has been granted a patent for a method that helps telecommunications operators plan their network resources. The system uses a group of machine learning models to analyze specific location data and target performance goals, such as data speed per user. It then combines these predictions into a single model to help decide how much computing and network capacity to allocate at a specific site.

Why it mattersThis is interesting for tech industry professionals because it describes a specific way to use artificial intelligence to optimize the physical infrastructure of mobile networks, ensuring they can handle expected traffic loads efficiently.

In the filing’s own words

A call model is generated that takes into account location-specific information and target attributes such as throughput per user. A cluster of different machine learning models is utilized to compute dynamic call model characteristics for each location, and merges the outputs into a dynamic call model. Additionally, techniques such as feature vector extraction, clustering algorithms, and ensemble models are employed to improve the accuracy and predictive performance of the machine learning models.

What exactly they claim (claim 1)

1. A method of generating a call model usable by a telecommunications network operator to model network usage, the method comprising: receiving, by a computing system, site data indicative of a location where a user plane and control plane is to be deployed in a telecommunications network, wherein the site data comprises location-specific information associated with the location; determining a plurality of target attributes indicative of capabilities of the telecommunications network; inputting the site data to a dynamic call model predictor, wherein the dynamic call model predictor comprises a plurality of different machine learning models that are each configured to generate a dynamic call model characteristic associated with one of the plurality of target attributes; merging the dynamic call model characteristics generated by the plurality of different machine learning models of the dynamic call model predictor into a dynamic call model, wherein the dynamic call mode characteristics are merged to correspond to a representation of computing and network resources of the telecommunications network; and using the dynamic call model to allocate computing and network capacity in the telecommunications network.

Facts

Company
Microsoft (MICROSOFT TECHNOLOGY LICENSING, LLC)
Official title
Dynamic call model prediction
Patent number
US12762435B2
Application number
18540823
Filed
Dec 14, 2023
Granted
Oct 13, 2026
Inventors
3
Claims
20

Classified under

G06N 5/022 Physics & computingH04L 41/145 Electricity & electronicsH04L 47/82 Electricity & electronics
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.