18750527. METHOD AND APPARATUS FOR DATA ANALYTICS IN TELECOMMUNICATION NETWORK simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
METHOD AND APPARATUS FOR DATA ANALYTICS IN TELECOMMUNICATION NETWORK
Organization Name
Inventor(s)
Mehrdad Shariat of Middlesex (GB)
Jungshin Park of Suwon-si (KR)
METHOD AND APPARATUS FOR DATA ANALYTICS IN TELECOMMUNICATION NETWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 18750527 titled 'METHOD AND APPARATUS FOR DATA ANALYTICS IN TELECOMMUNICATION NETWORK
The present disclosure discusses a method and system for integrating a 5th-Generation (5G) communication system with Internet of Things (IoT) technology to support higher data rates and enable intelligent services in various fields such as smart home, smart city, and healthcare.
- The method involves managing analytics data in a telecommunication network by determining how data from multiple sources is collected and analyzed either in a distributed manner, a centralized manner, or a combination of both.
- This innovation allows for efficient handling of data analytics in a network, enabling better decision-making and optimization of services.
- By converging 5G communication technology with IoT, this system opens up new possibilities for advanced services like smart retail, security, and digital education.
- The method provides flexibility in data analysis approaches, allowing for tailored solutions based on the specific needs of the network and the services being provided.
- Overall, this integration of 5G and IoT technologies enhances the capabilities of communication networks and enables the development of innovative services across various industries.
Potential Applications: - Smart home automation - Connected car services - Health monitoring and telemedicine - Enhanced security and surveillance systems - Advanced data analytics for business intelligence
Problems Solved: - Efficient management of analytics data in telecommunication networks - Integration of 5G and IoT technologies for enhanced services - Flexibility in data analysis approaches based on network requirements
Benefits: - Higher data rates and improved network performance - Enhanced decision-making capabilities through advanced analytics - Development of innovative services and applications in various industries
Commercial Applications: Title: "Integrating 5G and IoT for Advanced Services: Commercial Implications" This technology has significant commercial potential in industries such as telecommunications, healthcare, smart cities, and retail, where advanced services and data analytics are in high demand.
Prior Art: Readers can explore prior research on 5G communication systems, IoT technologies, and data analytics in telecommunication networks to understand the background of this innovation.
Frequently Updated Research: Researchers are continually exploring new ways to optimize data analytics in communication networks and enhance the integration of 5G and IoT technologies for advanced services.
Questions about the Integration of 5G and IoT: 1. How does the method described in the patent application improve data analytics in telecommunication networks? 2. What are the key benefits of converging 5G communication technology with IoT for intelligent services?
Original Abstract Submitted
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method of managing analytics data in a telecommunication network is provided. The method includes a consumer Network Function, (NF), determines how analytics data from a plurality of individual sources is collected and analyzed in one of a) a distributed manner from a plurality of Network Data Analytics Functions (NWDAF), b) a centralized manner by aggregating analytics data from the plurality of NWDAFs, before analyzing it at an Aggregator NWDAF, or c) a mixture of a) and b) above.
