E2E Orchestrator for 5G Network Slice Management
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Solution Overview
Problem
Current network management systems face challenges in efficiently configuring and optimizing network slices for diverse services in 5G communication systems, particularly in ensuring end-to-end quality and compliance with service level agreements (SLAs) across multiple radio access technologies (RATs) within a shared infrastructure, which complicates traffic monitoring and resource allocation.
Innovation Solution
The implementation of an End-to-End (E2E) orchestrator system that configures and manages network slices for respective RATs, employing a policy manager to set and apply policies, and utilizing Software Defined Networking (SDN) to control traffic paths and monitor network quality, enabling dynamic resource allocation and SLA compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network slices are configured for multiple RATs to support diverse 5G services, then service versatility and adaptability are improved, but device complexity and difficulty of managing end-to-end quality increase
Solution Approach 1:
An E2E orchestrator is introduced as an intermediary component that centralizes the management of network slices across multiple RATs. The orchestrator receives service requirements, configures appropriate network slices, and coordinates traffic routing between different RATs (e.g., 5G NR, LTE, Wi-Fi), thereby reducing the complexity burden on individual network elements while maintaining high service versatility
Solution Approach 2:
The network is segmented into multiple independent network slices, each optimized for specific service types (e.g., enhanced mobile broadband, ultra-reliable low-latency communication, massive IoT). This segmentation allows each slice to be managed independently with dedicated resources and policies, reducing overall system complexity while supporting diverse services simultaneously
2Speed
If dynamic network control is implemented to ensure low latency and real-time responsiveness, then service performance for IoT and smart cars is improved, but device complexity and resource allocation difficulty increase
Solution Approach 1:
The system implements dynamic network control through the E2E orchestrator, which continuously monitors network conditions and service requirements. When latency-sensitive services (e.g., smart car communications, industrial IoT) are detected, the orchestrator dynamically adjusts network slice configurations, prioritizes traffic routing, and reallocates resources in real-time to ensure low-latency performance
Solution Approach 2:
The orchestrator changes key network parameters dynamically based on service requirements. For low-latency services, it adjusts parameters such as scheduling priorities, buffer sizes, and transmission power levels. These parameter changes enable real-time responsiveness without requiring complete system redesign
3Reliability
If network slicing is used to logically divide infrastructure into multiple networks, then service quality and SLA compliance are improved, but measurement precision and traffic monitoring difficulty increase
Solution Approach 1:
The E2E orchestrator implements continuous feedback mechanisms by monitoring traffic flow, quality metrics (latency, jitter, packet loss), and resource utilization across all network slices. This feedback enables the orchestrator to detect SLA violations, analyze performance degradation, and trigger corrective actions such as reconfiguring network slices or rerouting traffic to maintain service quality
4Reliability
If multiple network providers must satisfy SLAs in a shared mobile communication network, then service reliability is improved, but management complexity and coordination difficulty increase
Solution Approach 1:
The E2E orchestrator serves as a universal management platform that handles multiple functions: configuring network slices for different providers, enforcing SLA policies, monitoring traffic across providers, and coordinating resource allocation. This multi-functional approach consolidates management complexity into a single system while ensuring reliable service delivery for multiple network providers operating on shared infrastructure
Data Source
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AI summary
A device and a method for managing and controlling an end-to-end network in a wireless communication system are provided. The management device for controlling an end-to-end network in a wireless communication system includes a network slice manager configured to configure network slices for a terminal, a policy manager configured to set a policy applied to the network slices and a software defined network (SDN) device configured to control one or more network entities related to transmission of traffic for the network slices, based on the policy, wherein each of the network slices are configured for a different frequency band.