T-mobile Usa, Inc.

Dinesh Kumar

Egil Gronstad

Ming Shan Kwok

Kun Lu

Paul Bongaarts

Andrew Gapin

Otto Fonseca Escudero

Marie Grace Jacinto

Techniques for asymmetric dynamic spectrum sharing are discussed herein. A first portion of spectrum can share spectrum between Long Term Evolution (LTE) and New Radio (NR) radio access technologies (RATs). A second portion of spectrum can be allocated to a particular RAT without sharing. Thus, control signals associated with both RATs can be associated with the shared portion. However, for the portion not shared, control signals for the particular RAT (e.g., NR) can be used without the control signals from the other RAT (e.g., LTE), thereby increasing capacity in the portion not shared.

Asymmetric dynamic spectrum sharing

A wireless communication system may support two types of networks, such as a 4-Generation (4G) network and a 5-Generation (5G) network. The 4G network is accessed through Long-Term Evolution (LTE) base stations. The 5G network is accessed through New Radio (NR) base stations. An LTE base station can be configured to broadcast information regarding whether it supports Non-Standalone Architecture (NSA) Dual Connectivity in conjunction with an associated NR base station. When a communication device receives an indication that NSA Dual Connectivity is available, the communication device selects a decision value based on the frequency bands that would be used during an NSA session anchored by the LTE base station. The communication device then uses the decision value in combination with the current 4G signal strength to determine whether 5G communications are currently available and whether to display a 5G symbol on the status bar of the communication device.

Network symbol display for dual connectivity networks

Systems and methods for improved efficiency in content streaming and downloading. The system enables a first list including a plurality of user equipment (UE) in communication with a wireless base station (WBS) to be identified based on the likelihood that each UE will download a piece of content. The process starts in response to a UE requesting the content from the WBS or some other triggering event. The system can use the content and subscriber history from the plurality of UEs along with machine learning, or some other algorithm, to identify likely candidates. The system can calculate a similarity score, or similar, comparing the requested content to the content history for each of the plurality of UEs. The system can add each UE with a sufficiently high similarity score to a second list. The content can be broadcast to all UEs on the second list in a single broadcast transmission.

Wireless delivery of broadcast data

Growing community of inventors

Sammamish, WA, United States of America

Dinesh Kumar