Abstract: This disclosure relates to an Artificial Intelligence (AI) based method (200) and system (104) for allocating dynamic bandwidth to User Equipments (UEs) (102). The method (200) may include iteratively extracting (202) a set of key performance indicators (KPIs) associated with user experience data from Over The Top (OTT) applications associated with a UE (102) of a user. The method (200) may further include retrieving (204) network telemetry data associated with a network being used by the UE (102). The method (200) may further include processing (206), by an AI model (124), the set of KPIs and the network telemetry data. The method (200) may further include determining (208), by the AI model (124), a bandwidth required by the UE (102) in the network based on a result of the processing. [To be published with Figure 1]
Description:DESCRIPTION
Technical Field
[001] This disclosure relates generally to allocating dynamic bandwidth, and more particularly to Artificial Intelligence (AI) based method and system for allocating dynamic bandwidth based on user experience.
Background
[002] Nowadays, mobile users may face significant challenges with static Quality of Service (QoS) settings tied to the plans of the mobile users. The QoS settings may not adjust dynamically based on needs of the mobile users, particularly during critical tasks (for example, video calls, gaming, work related activities while commuting, etc.) leading to poor user experience. The user may suffer from degraded network performance during important moments (for example, work related important meeting). Meanwhile, telecom service providers may face another challenge i.e., monetization of 5G networks. Despite advanced capabilities of 5G networks, the telecom operators may struggle to capitalize on full potential of technology due to lack of dynamic pricing models aligining , Claims:CLAIMS
I/We Claim:
1. An Artificial Intelligence (AI) based method (200) for allocating dynamic bandwidth to User Equipments (UEs) (102), the method (200) comprises:
iteratively extracting (202), by an end-device, a set of key performance indicators (KPIs) associated with user experience data from Over The Top (OTT) applications associated with a UE (102) of a user;
retrieving (204), by the end-device, network telemetry data associated with a network being used by the UE (102);
processing (206), by an AI model (124) in the end-device, the set of KPIs and the network telemetry data; and
determining (208), by the AI model (124) in the end-device, a bandwidth required by the UE (102) in the network based on a result of the processing.
2. The method (200) as claimed in claim 1, wherein the set of KPIs comprises at least one of user-perceived QOS, latency, location-based performance, battery consumption metrics, signal strength variations, movement-related performance, or packet loss.
3. The method (200) as claim
| # | Name | Date |
|---|---|---|
| 1 | 202511030021-STATEMENT OF UNDERTAKING (FORM 3) [28-03-2025(online)].pdf | 2025-03-28 |
| 2 | 202511030021-REQUEST FOR EXAMINATION (FORM-18) [28-03-2025(online)].pdf | 2025-03-28 |
| 3 | 202511030021-REQUEST FOR EARLY PUBLICATION(FORM-9) [28-03-2025(online)].pdf | 2025-03-28 |
| 4 | 202511030021-PROOF OF RIGHT [28-03-2025(online)].pdf | 2025-03-28 |
| 5 | 202511030021-POWER OF AUTHORITY [28-03-2025(online)].pdf | 2025-03-28 |
| 6 | 202511030021-FORM-9 [28-03-2025(online)].pdf | 2025-03-28 |
| 7 | 202511030021-FORM 18 [28-03-2025(online)].pdf | 2025-03-28 |
| 8 | 202511030021-FORM 1 [28-03-2025(online)].pdf | 2025-03-28 |
| 9 | 202511030021-FIGURE OF ABSTRACT [28-03-2025(online)].pdf | 2025-03-28 |
| 10 | 202511030021-DRAWINGS [28-03-2025(online)].pdf | 2025-03-28 |
| 11 | 202511030021-DECLARATION OF INVENTORSHIP (FORM 5) [28-03-2025(online)].pdf | 2025-03-28 |
| 12 | 202511030021-COMPLETE SPECIFICATION [28-03-2025(online)].pdf | 2025-03-28 |
| 13 | 202511030021-Power of Attorney [17-07-2025(online)].pdf | 2025-07-17 |
| 14 | 202511030021-Form 1 (Submitted on date of filing) [17-07-2025(online)].pdf | 2025-07-17 |
| 15 | 202511030021-Covering Letter [17-07-2025(online)].pdf | 2025-07-17 |