Techniques and apparatuses are described for neural network formation configuration
feedback for wireless communications. A network entity (base station 120, core network …

Techniques and apparatuses are described for machine-learning architectures for
simultaneous connection to multiple carriers. In implementations, a network entity …

Techniques and apparatuses are described for enabling base station-user equipment
messaging regarding deep neural networks. A network entity (base station 121, core …

the base station typically determines configurations for a wireless connection used by the
UE to access the services. For example, the base station determines bandwidth and timing …

This document describes techniques and devices for determining a machine-learning
architecture for network slicing. A user equipment (UE) and a network-slice manager …

A method performed by a first node is disclosed herein. The method is for handling data
traffic. The first node operates in a communications network. The first node receives an …

US11678200B2 - Identification of indoor and outdoor traffic usage of customers of a
telecommunications network - Google Patents US11678200B2 - Identification of indoor and …

Abstract Systems and methods that use historical data comprising capacity gain solutions
and their associated gains at various locations to train a machine learning model. The …

Abstract Systems and methods to identify whether user traffic is generated indoors (eg, from
within a building) or outdoors for a variety of applications, including improving capacity …

Abstract Systems and methods to understand the roadways (roads, highways, etc.) where
customers are experiencing network congestion and the time of day when customer …