Qualcomm Incorporated

Yue Hong

Arvind Vardarajan Santhanam

Yuanbo Wang

Viswanath Sankaran

Thawatt Gopal

Xiaoning Lu

Defang Chen

Xiao William Cheng

Billy Andika

Christopher James Pais

Harsimransingh Narindersingh Bindra

Tom Chin

Yongle Wu

Shanshan Wang

Scott Hoover

Madhup Chandra

Sandeep Ramannavar

Parth AshwinKumar Pandya

Rohit Bhasi Thazhath

Khyati Bhupendrabhai Mardia

Shraddha Ramachandra Phadnis

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

In a dual network link scenario, a wireless network may provide a user equipment (UE) with a measurement configuration indicating multiple inter-frequency measurement objects during an off duration of a discontinuous reception (DRX) cycle configured on a first network link. The UE may assign the inter-frequency measurement objects to a second network link if the second network link has an always-on configuration. Alternatively, if the second network link has a DRX configuration, the UE may perform some inter-frequency measurement activities on the first network link and assign some inter-frequency measurement objects to unoccupied gap occasions in the off duration for the DRX cycle configured on the second network link. In this way, the UE may save power by spending more time in a low power state, and mobility performance for the UE may be improved by increasing the efficiency and reliability of inter-frequency measurement activities.

Load balancing inter-frequency measurement activities for dual network link scenarios

Some aspects described herein relate to performing a serving beam switch from a first serving beam to a second serving beam, and switching, for an inter-frequency procedure and based on one or more spatial correlation parameters associated with the first serving beam and second serving beam, from a first inter-frequency beam to a second inter-frequency beam to use in the inter-frequency procedure.

Apparatus and methods for measuring beams during mobility in wireless communications

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San Diego, CA, United States of America

Yue Hong