Intent-Driven RAN Cluster Management for Dense Multi-RAT Networks
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Solution Overview
Problem
Current wireless network management is complex and costly due to dynamic cell characteristics, high-frequency spectrum use, and the introduction of multiple radio access technologies (RATs, leading to increased cell density and difficulty in automated management.
Innovation Solution
Implementing a network management method that creates and manages Radio Access Network (RAN) clusters based on intent files and infrastructure resource information, allowing for autonomous network driving and configuration data determination to optimize RAN clusters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cell-based network management is used to manage tens of thousands of cells with dynamic characteristics, then network coverage and service capability are improved, but management costs and complexity increase significantly
Solution Approach 1:
The patent segments the network management function by introducing a dedicated network management device that separates management plane functions from user plane functions. This segmentation allows the management device to handle dynamic characteristics of cells through automated algorithms while base stations focus on service delivery, thereby reducing overall management complexity while maintaining service capability.
Solution Approach 2:
The patent introduces a network management device as an intermediary between the core network and base stations. This intermediary automatically collects performance data, analyzes dynamic characteristics, and generates configuration commands, thereby reducing the burden on operators to manually manage tens of thousands of cells while maintaining adaptability to changing network conditions.
2Productivity
If high-frequency spectrum is used to increase network capacity, then spectral efficiency is improved, but cell coverage area decreases and cell density increases
Solution Approach 1:
The patent implements dynamic management of high-frequency cells through automated algorithms that continuously monitor performance indicators and adjust configuration parameters. This dynamic approach allows the network to optimize cell density and coverage area in real-time, maximizing network capacity while adapting to changing traffic patterns and coverage requirements.
Solution Approach 2:
The patent automatically adjusts configuration parameters such as transmission power, antenna tilt, and frequency allocation based on real-time performance data. These parameter changes enable the network to optimize the trade-off between cell coverage area and network capacity when using high-frequency spectra, allowing smaller cells to be efficiently managed while maintaining overall network productivity.
3Adaptability or versatility
If multiple RATs are introduced to support diverse services, then service diversity and adaptability are improved, but network complexity and difficulty of automated management increase
Solution Approach 1:
The patent designs a universal network management device that can handle multiple Radio Access Technologies (RATs) through a unified management interface and standardized algorithms. This multi-functional approach allows the same automated management system to efficiently manage diverse RATs (such as 4G, 5G, and future technologies) without requiring separate management systems, thereby maintaining service diversity while enabling automated management.
Solution Approach 2:
The patent uses template-based configuration management where standardized management templates and algorithms are created for different RATs. These templates can be automatically copied and adapted to specific network scenarios, reducing the complexity of managing multiple RATs while maintaining the ability to provide diverse services through customized parameter settings within the standardized framework.
4Productivity
If cell density is increased per unit geographical area to improve network capacity, then network productivity is improved, but management costs and complexity increase
Solution Approach 1:
The patent implements self-service automation where the network management device automatically performs configuration, optimization, and troubleshooting tasks for high-density cell networks. Through automated algorithms that continuously monitor performance indicators and generate configuration commands, the system eliminates the need for manual management of each cell, thereby enabling the deployment of high cell density networks without proportionally increasing management costs.
Solution Approach 2:
The patent establishes a closed-loop feedback mechanism where performance data from numerous cells is automatically collected, analyzed, and used to generate optimization commands. This feedback-driven approach allows the management system to efficiently handle large numbers of cells by automatically adjusting configurations based on real-time performance, thereby maintaining network capacity while controlling management complexity through intelligent automation.
Data Source
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AI summary
This application discloses a network management method, including: A first management device determines configuration data of a RAN cluster (RanCluster) based on an intent file and radio resource information that is provided by a second management device, and then configures the configuration data on a radio resource indicated by the radio resource information, for example, configures the configuration data on an RRU. In this way, a RAN cluster is autonomously created, autonomous network driving is implemented, and network management efficiency is improved.