US-20260129477-A1 - FUNCTIONALITY MANAGEMENT IN WIRELESS NETWORKS BASED ON UE AND NETWORK SIDE INFORMATION

US20260129477A1US 20260129477 A1US20260129477 A1US 20260129477A1US-20260129477-A1

Abstract

A UE determines a UE side associated ID for each of the UE that corresponds to a network side associated ID. The UE side associated ID is determined based on a first set of aspects of the UE. The UE determines, based on a second set of aspects of the UE, a stability index for each functionality of the UE that corresponds to the network side associated ID. The UE determines the applicability of a particular functionality of the UE based on the network side associated ID and a UE side associated ID determined for the particular functionality. The UE determines, based on a stability index determined for the particular functionality and its associated network side associated ID, a duration of time before activating the particular functionality when the particular functionality is not activated, and a duration of time before deactivating the particular functionality when the particular functionality is activated.

Inventors

Rudraksh Shrivastava
Sudeep HEGDE
Tomoki Yoshimura

Assignees

SHARP KABUSHIKI KAISHA

Dates

Publication Date: 20260507
Application Date: 20241107

Claims (15)

1 . A user equipment (UE), comprising: one or more non-transitory computer-readable media storing one or more computer-executable instructions; and at least one processor coupled to the one or more non-transitory computer-readable media, and configured to execute the one or more computer-executable instructions to cause the UE to: receive, from a network node, a network side associated identifier (ID) quantifying one or more network side conditions; determine a UE side associated ID for each functionality in a set of one or more functionalities of the UE that corresponds to the network side associated ID, the UE side associated ID determined based on a first set of aspects of the UE; determine a stability index for each functionality of the UE that corresponds to the network side associated ID, the stability index calculated based on a second set of aspects of the UE; determine an applicability of a particular functionality of the UE based on the network side associated ID and a UE side associated ID determined for the particular functionality; and determine, based on a stability index determined for the particular functionality and its associated network side associated ID, a duration of time before activating the particular functionality when the particular functionality is not activated, and a duration of time before deactivating the particular functionality when the particular functionality is activated.
2 . The UE of claim 1 , wherein: the network side associated ID is a first network side associated ID, the at least one processor is further configured to execute the one or more computer-executable instructions to cause the UE to: receive, from the network node, a set of one or more network side associated IDs other than the first network side associated ID, each network side associated ID in the set of one or more network side associated IDs quantifying one or more network side conditions, determining the applicability of the particular functionality of the UE further comprises determining the applicability of the particular functionality of the UE based on the set of one or more network side associated IDs.
3 . The UE of claim 1 , wherein each stability index specifies a probability that the corresponding functionality of the UE remains applicable for a time interval after the functionality of the UE is activated or a probability that the functionality of the UE remains applicable for a time interval prior to the functionality of the UE being activated.
4 . The UE of claim 1 , wherein: each functionality of the UE provides a set of inference results, and the stability index further quantifies a UE's confidence level in an accuracy or reliability of the set of inference results.
5 . The UE of claim 1 , wherein each functionality of the UE is one of an artificial intelligence/machine learning (AI/ML) functionality that the UE is ready to apply for AI/ML model inference or an AI/ML functionality that the UE supports based on UE capabilities.
6 . The UE of claim 1 , wherein the first set of aspects of the UE comprises at least one of a UE hardware resource from a plurality of UE hardware resources required for performing the corresponding functionality of the UE, a mobility of the UE, or a type of an environment where the UE is located.
7 . The UE of claim 6 , wherein the plurality of UE hardware resources comprises one or more of a UE power consumption, a memory storage of the UE, an operating frequency of a graphics processing unit (GPU) of the UE, and an operating frequency of the at least one processor.
8 . The UE of claim 1 , wherein the second set of aspects of the UE comprises at least one of a UE hardware resource from a plurality of UE hardware resources required for performing the corresponding functionality of the UE, a mobility of the UE or a type of an environment where the UE is located.
9 . The UE of claim 1 , wherein determining the UE side associated ID comprises: determining the UE side associated ID as a function of a score for a battery level of the UE, a score for an availability of computational resources of the UE, a score for environmental conditions and mobility of the UE, and a score on a past effectiveness of the corresponding functionality; and determining the UE side associated ID by mapping a value generated by the function into one of a plurality of values in a predetermined range of values.
10 . The UE of claim 9 , wherein the function is one of a non-weighted average or a weighted average.
11 . The UE of claim 1 , wherein determining the stability index comprises calculating a function of a probability of an occurrence of each aspect in the second set of aspects of the UE.
12 . The UE of claim 1 , wherein determining the stability index comprises: calculating a plurality of probabilities for different moving speeds of the UE in different environments; summing the plurality of probabilities; and calculating a normalized probability by dividing the sum of the plurality of probabilities by a number of probabilities in the plurality of probabilities.
13 . The UE of claim 1 , wherein determining the stability index corresponding to a functionality of the UE comprises: calculating a probability that a battery level of the UE is above a threshold; and calculating a probability that computational resources required for performing the functionality of the UE is below a threshold.
14 . The UE of claim 1 , wherein the at least one processor is further configured to execute the one or more computer-executable instructions to cause the UE to: maintain a mapping of an identification of the UE, the UE side associated ID, the network side associated ID representing the one or more network side conditions, the functionalities of the UE, an applicability status of each functionality of the UE, an activation status of each functionality of the UE, and the stability index.
15 . A method, comprising: receiving, by a user equipment (UE), from a network node, a network side associated identifier (ID) quantifying one or more network side conditions; determining a UE side associated ID for each functionality in a set of one or more functionalities of the UE that corresponds to the network side associated ID, the UE side associated ID determined based on a set of aspects of the UE; determining a stability index for each functionality of the UE that corresponds to the network side associated ID, the stability index calculated based on a set of aspects of the UE; determining an applicability of a particular functionality of the UE based on the network side associated ID and a UE side associated ID determined for the particular functionality; and determining, based on a stability index determined for the particular functionality and its associated network side associated ID, a duration of time before activating the particular functionality when the particular functionality is not activated, and a duration of time before deactivating the particular functionality when the particular functionality is activated.

Description

TECHNICAL FIELD The technology generally relates to wireless communications, and more particularly, to exchanging user equipment (UE) side identifications and stability index between UEs and the network. BACKGROUND Because of the tremendous growth in the number of connected devices and the rapid increase in the user/network (NW) traffic volume, various efforts have been made to improve different aspects of the wireless communications in the next-generation radio communication systems, such as the 5th generation (5G) New Radio (NR). Such improvements include improving data rate, latency, reliability, mobility, etc. The 5G NR system is designed to provide flexibility and configurability to optimize NW services and types, thus accommodating various use cases, such as enhanced Mobile Broadband (eMBB), massive Machine-Type Communication (mMTC), and Ultra-Reliable and Low-Latency Communication (URLLC). As the integration of artificial intelligence/machine learning (AI/ML) continues to expand in the 5G NR networks, it has become crucial for UE to accurately discern its serving and neighboring cells' AI/ML functionalities, for example, to ensure smooth handoffs, timely activation of relevant features, and efficient allocation of network resources. However, challenges emerge from dynamic network conditions, as the availability and capabilities of neighboring cells may vary due to factors such as traffic load and interference. In addition, the UE's own capabilities, internal conditions, model availability, and the inherent complexity of 5G NR networks (e.g., including integrated access and backhaul (IAB) systems) further complicate this assessment. To accurately determine the applicable functionalities of neighboring base stations (e.g., next-generation Node Bs (gNBs)) and cells, the UE has to be provided with relevant network-side information, including the appropriate timing for assessing neighboring cell functionalities and the methods for reporting this information back to the network. Reporting neighboring cell AI/ML functionality information may introduce signaling overhead that may affect network performance. As the demand for radio access continues to grow, however, there is a need for further improvements in wireless communications in the next-generation radio communication systems, such as improvements in the network mobility management. SUMMARY In a first aspect of the present application, a UE is provided. The UE includes one or more non-transitory computer-readable media storing one or more computer-executable instructions and at least one processor coupled to the one or more non-transitory computer-readable media. The at least one processor is configured to execute the one or more computer-executable instructions to cause the UE to receive, from a network node, a network side associated identifier (ID) quantifying one or more network side conditions; determine a UE side associated ID for each functionality in a set of one or more functionalities of the UE that corresponds to the network side associated ID, the UE side associated ID determined based on a first set of aspects of the UE; determine a stability index for each functionality of the UE that corresponds to the network side associated ID, the stability index calculated based on a second set of aspects of the UE; determine an applicability of a particular functionality of the UE based on the network side associated ID and a UE side associated ID determined for the particular functionality; and determine, based on a stability index determined for the particular functionality and its associated network side associated ID, a duration of time before activating the particular functionality when the particular functionality is not activated, and a duration of time before deactivating the particular functionality when the particular functionality is activated. In an implementation of the first aspect, the network side associated ID is a first network side associated ID. The at least one processor is further configured to execute the one or more computer-executable instructions to cause the UE to receive, from the network node, a set of one or more network side associated IDs other than the first network side associated ID. Each network side associated ID in the set of one or more network side associated IDs quantifies one or more network side conditions. Determining the applicability of the particular functionality of the UE further includes determining the applicability of the particular functionality of the UE based on the set of one or more network side associated IDs. In another implementation of the first aspect, each stability index specifies a probability that the corresponding functionality of the UE remains applicable for a time interval after the functionality of the UE is activated or a probability that the functionality of the UE remains applicable for a time interval prior to the functionality of the UE being activated. In another implementa