Conditional Service Level Enforcement for Network Slices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Network slices with low latency and low jitter SLAs can consume most or all bandwidth, negatively impacting other users by depleting network resources, leading to service disruptions for users with different application requirements.
Innovation Solution
Implementing conditional differentiated services that dynamically adjust SLAs and QoS based on actual data throughput, where network devices measure and manage data rates, removing special treatment when demand exceeds advertised rates and reapplying it when demand falls below, ensuring fair resource allocation across network slices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network slices provide differentiated services with guaranteed low latency and low jitter to specific users, then service quality for those users is improved, but network resources are depleted and other users are negatively impacted
Solution Approach 1:
The patent implements dynamic SLA adjustment where network devices continuously monitor actual data throughput and automatically modify SLA parameters in real-time. When a user's actual throughput exceeds their advertised rate, the system dynamically removes differentiated service treatment; when throughput falls below the threshold, it reappplies the SLA. This dynamic adaptation allows the network to respond to changing conditions and allocate resources fairly across all users while maintaining service quality for those who need it.
Solution Approach 2:
The patent establishes a feedback mechanism where network devices measure actual data throughput and compare it against advertised rates. This feedback loop enables the system to automatically adjust SLA treatment based on real performance data. The feedback mechanism ensures that differentiated services are granted only when network conditions allow, preventing resource depletion while maintaining service quality guarantees for compliant users.
2Adaptability or versatility
If network devices continuously monitor and adjust SLAs based on actual throughput, then fair resource allocation is achieved, but system complexity increases
Solution Approach 1:
The patent implements self-service automation where network devices automatically monitor their own throughput, compare it against advertised rates, and adjust SLA treatment without requiring manual intervention. The system performs self-measurement, self-comparison, and self-adjustment of service levels, reducing the need for complex centralized management while maintaining adaptability in resource allocation.
Solution Approach 2:
The patent focuses on adjusting key SLA parameters (such as latency guarantees, jitter limits, and bandwidth allocation) based on measured throughput conditions. By changing these critical parameters dynamically rather than requiring complete system reconfiguration, the system achieves adaptability in resource allocation while minimizing the complexity of network management operations.
Data Source
AI summary
A method may include providing data services to a user equipment (UE) device via a first network slice and determining a data throughput threshold associated with the first network slice. The method may also include determining if the UE device has exceeded the data throughput threshold over a first period of time. The method may further include providing data services to the UE device via a second network slice, in response to determining that the UE device has exceeded the data throughput threshold over the first period of time.


