US-20260129501-A1 - MITIGATING HIGH LATENCY IN LATENCY-SENSITIVE APPLICATIONS

Abstract

Systems and methods are provided for mitigating high latency in latency-sensitive applications within an enhanced Mobile Broadband (eMBB) environment by identifying an application with latency requirements below a specific threshold. Latency is measured across one or more frequency channels within a frequency band, or across one or more physical resource blocks (PRBs). Radio frequency (RF) conditions related to the user device are monitored. Based on this latency data and the observed RF conditions, an optimal frequency channel and/or PRBs are selected and allocated to the latency-sensitive application to ensure it meets the required performance criteria.

Inventors

• Zheng Cai

Assignees

• T-MOBILE INNOVATIONS LLC

Dates

Publication Date

20260507

Application Date

20241106

Claims (20)

1. 1 . A method for mitigating high latency for latency-sensitive applications, the method comprising: identifying a latency-sensitive application in an eMBB environment, wherein the latency-sensitive application has a latency requirement below a threshold; measuring latency for one or more frequency channels corresponding to a frequency band; monitoring one or more radio frequency conditions corresponding to a user device; identifying a frequency channel for the latency-sensitive application based on the one or more radio frequency conditions and the measured latency; and allocating the frequency channel to the latency-sensitive application.
2. 2 . The method of claim 1 , further comprising determining that a cell loading measurement of a cell associated with a user device running the latency-sensitive application is below a threshold.
3. 3 . The method of claim 2 , further comprising predicting how much to lower a modulation coding scheme (MCS) at the cell based on one or more machine learning models.
4. 4 . The method of claim 3 , wherein the predicting how much to lower the MCS at the cell is based on the cell loading measurement of the cell being below the threshold.
5. 5 . The method of claim 1 , wherein the latency-sensitive application comprises at least one of extended reality (XR), holographic communications, or real-time gaming.
6. 6 . The method of claim 1 , further comprising dynamically allocating physical resource blocks (PRBs) based on latency sensitivity, channel availability, and predicted performance of the PRBs.
7. 7 . The method of claim 6 , wherein the latency sensitivity, the channel availability, and the predicted performance of the PRBs are determined based on one or more machine learning models.
8. 8 . The method of claim 1 , wherein the one or more radio frequency conditions comprise reference signal received power (RSRP), reference signal received quality (RSRQ), or signal-to-interference-plus-noise ratio (SINR).
9. 9 . One or more non-transitory computer readable media that, when executed by one or more computer processing components, cause the one or more computer processing components to perform a method for mitigating high latency for latency-sensitive applications, the method comprising: monitoring latency for a plurality of physical resource blocks (PRBs); monitoring one or more radio frequency conditions corresponding to a user device served by a cell; and allocating one or more PRBs of the plurality of PRBs to a latency-sensitive application running on the user device, the allocating based on the one or more radio frequency conditions and the monitored latency.
10. 10 . The one or more non-transitory computer readable media of claim 9 , wherein the monitoring the latency further comprises receiving latency reports from one or more user devices attached to a cell and generating uplink (UL) and downlink (DL) latency measurements of the cell.
11. 11 . The one or more non-transitory computer readable media of claim 9 , wherein the one or more PRBs are allocated based further on latency sensitivity, channel availability, and predicted performance of the one or more PRBs.
12. 12 . The one or more non-transitory computer readable media of claim 11 , wherein the latency sensitivity, the channel availability, and the predicted performance of the one or more PRBs are determined based on one or more machine learning models.
13. 13 . The one or more non-transitory computer readable media of claim 9 , further comprising determining that a cell loading measurement of the cell serving the user device running the latency-sensitive application is below a threshold.
14. 14 . The one or more non-transitory computer readable media of claim 13 , further comprising initiating a lower modulation coding scheme (MCS) at the cell to lower the latency to below the threshold.
15. 15 . The one or more non-transitory computer readable media of claim 9 , wherein the one or more radio frequency conditions comprise reference signal received power (RSRP), reference signal received quality (RSRQ), or signal-to-interference-plus-noise ratio (SINR).
16. 16 . A method for mitigating high latency for latency-sensitive applications, the method comprising: identifying a latency-sensitive application; determining that a cell loading measurement of a cell associated with a user device running the latency-sensitive application is below a threshold; based on the cell loading measurement being below the threshold, predicting an amount to lower a modulation coding scheme (MCS) at the cell; and lowering the MCS at the cell based on the predicting.
17. 17 . The method of claim 16 , wherein the latency-sensitive application comprises at least one of extended reality (XR), holographic communications, or real-time gaming.
18. 18 . The method of claim 16 , further comprising: monitoring latency of one or more physical resource blocks (PRBs); and dynamically allocating the PRBs based on latency sensitivity, channel availability, and predicted performance of the PRBs.
19. 19 . The method of claim 18 , wherein the latency sensitivity, the channel availability, and the predicted performance of the PRBs are determined based on one or more machine learning models.
20. 20 . The method of claim 18 , wherein the monitoring the latency further comprises receiving latency reports from one or more user devices attached to a cell and generating uplink (UL) and downlink (DL) latency measurements of the cell.

Description

SUMMARY The present disclosure is directed to mitigating high latency for latency-sensitive applications in a telecommunication network, substantially as shown and/or described in connection with at least one of the Figures, and as set forth more completely in the claims. According to various aspects of the technology, high latency may be mitigated in latency-sensitive applications by dynamically adjusting the network's modulation and coding scheme (MCS). It involves first identifying a latency-sensitive application and assessing the cell's loading measurement to determine if the cell's utilization is below a predefined threshold. If the load is below the threshold, a prediction may be made as to an optimal reduction in the MCS at the node to enhance reliability and reduce latency. The MCS is then lowered accordingly, improving the application's performance under favorable capacity conditions without compromising other network services. In other aspects, systems and methods are provided for optimized resource allocation in wireless networks by monitoring both latency across multiple Physical Resource Blocks (PRBs) and the radio frequency (RF) conditions associated with a user device. Based on this real-time data, the system intelligently allocates specific PRBs to a latency-sensitive application running on the user device, ensuring that the chosen PRBs offer optimal performance under the prevailing RF conditions. This approach enhances the application's performance by prioritizing PRBs that minimize latency, improving the overall reliability and efficiency of time-critical services. This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used in isolation as an aid in determining the scope of the claimed subject matter. BRIEF DESCRIPTION OF THE DRAWINGS Aspects of the present disclosure are described in detail herein with reference to the attached Figures, which are intended to be exemplary and non-limiting, wherein: FIG. 1 illustrates a diagram of an exemplary environment in which implementations of the present disclosure may be employed; FIG. 2 depicts a flow diagram of an exemplary method for managing latency for latency-sensitive applications; FIG. 3 depicts another flow diagram of an exemplary method for managing latency for latency-sensitive applications; FIG. 4 depicts another flow diagram of an exemplary method for managing latency for latency-sensitive applications; and FIG. 5 illustrates an exemplary computing device for use with the present disclosure. DETAILED DESCRIPTION The subject matter of embodiments of the invention is described with specificity herein to meet statutory requirements. However, the description itself is not intended to limit the scope of this patent. Rather, the inventor has contemplated that the claimed subject matter might be embodied in other ways, to include different steps or combinations of steps similar to the ones described in this document, in conjunction with other present or future technologies. Moreover, although the terms “step” and/or “block” may be used herein to connote different elements of methods employed, the terms should not be interpreted as implying any particular order among or between various steps herein disclosed unless and except when the order of individual steps is explicitly described. Various technical terms, acronyms, and shorthand notations are employed to describe, refer to, and/or aid the understanding of certain concepts pertaining to the present disclosure. Unless otherwise noted, said terms should be understood in the manner they would be used by one with ordinary skill in the telecommunication arts. An illustrative resource that defines these terms can be found in Newton's Telecom Dictionary, (e.g., 32d Edition, 2022). As used herein, the term “base station” refers to a centralized component or system of components that is configured to wirelessly communicate (receive and/or transmit signals) with a plurality of stations (i.e., wireless communication devices, also referred to herein as user equipment (UE(s))) in a geographic service area. A base station suitable for use with the present disclosure may be terrestrial (e.g., a fixed/non-mobile form such as a cell tower or a utility-mounted small cell) or may be extra-terrestrial (e.g., an airborne or satellite form such as an airship or a satellite). The need for low-latency, high-reliability networks is becoming increasingly needed as applications evolve from traditional mobile broadband usage to more immersive and real-time experiences. While 5G networks were designed to support these use cases through multiple communication modes like eMBB, URLLC, and mMTC (massive Machine Type Communication), the practical implementation of URLLC has been limited. Deploying URLLC at