Qualcomm Incorporated

Shraddha Ramachandra Phadnis

Tom Chin

Arvind Vardarajan Santhanam

Yongle Wu

Shanshan Wang

Scott Hoover

Madhup Chandra

Yue Hong

Sandeep Ramannavar

Rohit Bhasi Thazhath

Khyati Bhupendrabhai Mardia

Methods, systems, and devices for wireless communications are described. For example, the described techniques provide for a user equipment (UE) to predict a gain state for an initial acquisition procedure. For example, the UE may use a machine learning (ML) model to predict an initial gain state which is likely to result in a successful initial acquisition procedure (e.g., without adjusting the gain state and reattempting the initial acquisition procedure). The UE may input UE history data or crowdsourced data (e.g., from a local network or a cloud-based server) into the ML model to generate a predicted gain state which may be more likely to result in a successful initial acquisition (e.g., without reattempting the initial acquisition procedure). The UE may use the initial gain state generated by the ML model to attempt an initial acquisition procedure with a network entity.

Efficient initial acquisition with gain state prediction using machine learning

Growing community of inventors

San Diego, CA, United States of America

Shraddha Ramachandra Phadnis