US-12621231-B2 - Providing confidence thresholds in an analytics request or subscription

US12621231B2US 12621231 B2US12621231 B2US 12621231B2US-12621231-B2

Abstract

Certain example embodiments provide systems, methods, apparatuses, and computer program products for providing confidence thresholds in an analytics request or subscription. For example, certain embodiments may include a confidence threshold for each reporting threshold (e.g., quality of service (QoS) metric-specific reporting threshold) in an analytics request or subscription (e.g., a network data analytics function (NWDAF) QoS sustainability analytics request or subscription). The confidence threshold (lower bound) can be determined by the consumer application based on their individual needs, e.g., based on the cost or impact of the compensating actions on the predicted QoS sustainability notification. The confidence threshold, in combination with the reporting threshold, may define the conditions for analytics events and/or notifications (e.g., QoS sustainability prediction analytics events and the related notifications).

Inventors

Tejas SUBRAMANYA
Janne Tapio ALI-TOLPPA
Márton Kajó

Assignees

NOKIA TECHNOLOGIES OY

Dates

Publication Date: 20260505
Application Date: 20210215

Claims (1)

1 . An apparatus, comprising: at least one processor; and at least one memory including computer program code, wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to: transmit an analytics request and transmit a subscription, wherein the analytics request and the subscription each comprises: respective confidence thresholds corresponding to respective reporting thresholds, wherein a respective combination of the respective confidence thresholds and the respective reporting thresholds define a respective condition for a prediction analytics event or a notification; receive an analytics response based on the respective combination of the respective confidence thresholds and the respective reporting thresholds for the analytics request; and receive a notification based on the respective combination of the respective confidence thresholds and the respective reporting thresholds for the subscription, wherein the analytics request comprises a quality of service sustainability analytics request, wherein the subscription comprises a quality of service sustainability subscription, wherein the quality of service sustainability analytics request is associated with quality of service flow retainability analytics for guaranteed bitrate quality of service flows, wherein the quality of service sustainability subscription is associated with radio access network user equipment throughput-based analytics for non-guaranteed bitrate quality of service flows, wherein the confidence thresholds comprises a lower bound confidence threshold, and wherein the reporting thresholds comprise: a higher-bound reporting threshold, and a lower-bound reporting threshold.

Description

FIELD Some example embodiments may generally relate to mobile or wireless telecommunication systems, such as Long Term Evolution (LTE) or fifth generation (5G) radio access technology or new radio (NR) access technology, or other communications systems. For example, certain embodiments may relate to systems and/or methods for providing confidence thresholds in an analytics request or subscription. BACKGROUND Examples of mobile or wireless telecommunication systems may include the Universal Mobile Telecommunications System (UMTS) Terrestrial Radio Access Network (UTRAN), Long Term Evolution (LTE) Evolved UTRAN (E-UTRAN), LTE-Advanced (LTE-A), MulteFire, LTE-A Pro, and/or fifth generation (5G) radio access technology or new radio (NR) access technology. 5G wireless systems refer to the next generation (NG) of radio systems and network architecture. 5G is mostly built on a new radio (NR), but a 5G (or NG) network can also build on E-UTRA radio. It is estimated that NR may provide bitrates on the order of 10-20 Gbit/s or higher, and may support at least enhanced mobile broadband (eMBB) and ultra-reliable low-latency-communication (URLLC) as well as massive machine type communication (mMTC). NR is expected to deliver extreme broadband and ultra-robust, low latency connectivity and massive networking to support the Internet of Things (IoT). With IoT and machine-to-machine (M2M) communication becoming more widespread, there will be a growing need for networks that meet the needs of lower power, low data rate, and long battery life. It is noted that, in 5G, the nodes that can provide radio access functionality to a user equipment (i.e., similar to Node B in UTRAN or eNB in LTE) may be named gNB when built on NR radio and may be named NG-eNB when built on E-UTRA radio. SUMMARY According to a first embodiment, a method may include transmitting, by an analytics consumer, an analytics request or subscription. The analytics request or subscription may include one or more confidence thresholds corresponding to one or more reporting thresholds. A combination of a confidence threshold and a reporting threshold may define a condition for a prediction analytics event or a notification. The method may include receiving an analytics response or notification based on the combination of the confidence threshold and the reporting threshold. In a variant, the analytics request or subscription may include a quality of service sustainability analytics request or subscription. In a variant, the quality of service sustainability analytics request or subscription may be associated with radio access network user equipment throughput-based analytics for non-guaranteed bitrate quality of service flows or with quality of service flow retainability-based analytics for guaranteed bitrate quality of service flows. In a variant, the confidence threshold may include a lower bound confidence threshold and the reporting threshold may include a higher bound reporting threshold. In a variant, the confidence threshold may include a lower bound confidence threshold and the reporting threshold may include a lower bound reporting threshold. In a variant, the confidence threshold may include a lower bound confidence threshold and the reporting threshold may include a range within which one or more metrics are expected to remain. According to a second embodiment, a method may include receiving, by a network data analytics function, an analytics request or subscription. The analytics request or subscription may include one or more confidence thresholds corresponding to one or more reporting thresholds. A combination of a confidence threshold and a reporting threshold may define a condition for a prediction analytics event or a notification. The method may include transmitting, to an analytics consumer, an analytics response or notification based on the combination of the confidence threshold and the reporting threshold. In a variant, the analytics request or subscription may include a quality of service sustainability analytics request or subscription. In a variant, the quality of service sustainability analytics request or subscription may be associated with radio access network user equipment throughput-based analytics for non-guaranteed bitrate quality of service flows or with quality of service flow retainability-based analytics for guaranteed bitrate quality of service flows. In a variant, the confidence threshold may include a lower bound confidence threshold and the reporting threshold may include a higher bound reporting threshold. In a variant, the confidence threshold may include a lower bound confidence threshold and the reporting threshold may include a lower bound reporting threshold. In a variant, the confidence threshold may include a lower bound threshold and the reporting threshold may include a range within which one or more metrics are expected to remain. A third embodiment may be directed to an apparatus including at least one processo