Wireless Network Operation Predictions Using Performance Data

ChangeBridge: Patent Apps - Networking (H04L)

Detected March 27th, 2026

Summary

The USPTO has published a new patent application detailing a method for predicting wireless network performance degradation. The application describes using cell performance data to forecast key performance indicators (KPIs) and identify potential issues with uplink throughput.

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What changed

This document is a patent application (US20260089067A1) filed by inventors from India, describing a method for managing wireless communication networks. The core innovation involves using performance data to predict future degradation in uplink throughput by analyzing key performance indicators (KPIs). The method includes generating predictions, identifying candidate root cause KPIs, and selecting an actuation to apply to the network to mitigate the predicted degradation.

As this is a patent application, it does not impose direct regulatory obligations or compliance deadlines on entities. However, it signals technological advancements in network management and predictive maintenance within the telecommunications sector. Companies involved in wireless network operations or technology development may find the described methodologies relevant for future innovation and competitive analysis.

Source document (simplified)

← USPTO Patent Applications

OPERATION PREDICTIONS IN WIRELESS COMMUNICATION NETWORKS

Application US20260089067A1 Kind: A1 Mar 26, 2026

Inventors

Praveen KUMAR, Rashmi TOMER, Vivek KUMAR, Ajay SHARMA, Gaurav KAROLIWAL

Abstract

A method of managing a wireless communication network includes obtaining data regarding performance of a cell of the wireless communication network, and generating, based on the obtained data, predictions of values of a plurality of key performance indicators (KPIs) of the cell of the wireless communication network that are correlated with uplink (UL) throughput. The method includes generating a prediction that the cell will experience degraded UL throughput at a future time based on the predicted values of the KPIs, and determining, from among the plurality of KPIs, a set of candidate root cause KPIs associated with the predicted degraded UL throughput. The method further includes selecting an actuation based on the determined set of candidate KPIs, and applying the actuation to the wireless communication network.