Method for forecasting anomalies in communication network, involves forecasting potential anomalies based on identified trends and patterns using two processors and triggering actions on forecasting of potential anomalies using two processors
	LOBO R; NARAYAN S; DANGE G; KUMAR R; TELGOTE K; TILALA M; GARG H; DEBASHISH K; RAJANI M; KHADE A; KUMTHEKAR S; SONI S; GURBANI G; MURARKA A; DE SUPRIYA K; KUMAR G; GAYKI V; PODDAR H; VISHWAKARMA D K; CHAUDHARY S; BHATNAGAR A; SAHU K; KUMAR D; BHANWRIA M; PATNAM N; KUMAR Y; KISHORE J; MEENA S; KUMAR Z; BHUSHAN S; INGLE S; KUSHWAHA A; GANVEER C
	2023-10-10
专利权人	JIO PLATFORMS LTD (RELN-C)
申请日期	2023-10-10
专利号	IN202321068027-A
成果简介	NOVELTY - The method involves receiving data from two network components (105) using two processors. The data is an alarm data and a probe data or performance metrics. The two processors train a machine learning (ML) model using the received data to identify trends and patterns corresponding to two anomalies within the received data, forecast potential anomalies based on the identified trends and patterns and trigger two actions on forecasting of the potential anomalies. USE - Method for forecasting anomalies in a communication network. ADVANTAGE - The method improves network reliability through real-time anomaly detection and network management by leveraging artificial intelligence (AI)/ML for real-time anomaly detection and predictive analytics, allows proactive issue resolution before disruptions occur and operators to monitor and manage network operations efficiently based on real-time insights, enhances operational efficiency by forecasting potential network issues and optimizing resource allocation and accuracy over time, refines predictions and responses, achieves seamless integration of data sources, ensures that the user-friendly interface simplifies monitoring and management for network operator, enables quicker responses and better-informed decisions and seamless interaction, forecasts network performance trends to optimize resources and avoid issues, features automated continuous improvement, refines algorithms based on insights from previous analysis and ensures comprehensive analysis and advanced data integration and pre-processing and high-quality inputs leading to accurate predictions. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a system for forecasting two anomalies in a network. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram for forecasting anomalies. 100Communication network 105Network components 110User equipment 110aFirst user equipment 110bSecond user equipment 110cThird user equipment 115Server 120System
IPC 分类号	G06F-011/34 ; G06Q-010/04 ; G16H-020/30 ; H04L-041/147 ; H04W-024/04
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/20076
专题	中国科学院新疆生态与地理研究所
作者单位	JIO PLATFORMS LTD (RELN-C)
推荐引用方式 GB/T 7714	LOBO R,NARAYAN S,DANGE G,et al. Method for forecasting anomalies in communication network, involves forecasting potential anomalies based on identified trends and patterns using two processors and triggering actions on forecasting of potential anomalies using two processors. IN202321068027-A[P]. 2023.

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