Network Resource Availability Prediction for Service Instantiation
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Solution Overview
Problem
Existing resource availability checks in mobile or wireless telecommunication systems, such as LTE and 5G, do not guarantee successful resource instantiation, leading to inefficient resource utilization and increased costs due to reservation of unavailable resources.
Innovation Solution
Implementing a network entity that determines the probability of resource availability at a future time by analyzing current or predicted load, utilizing cross-correlation with events and statistical methods, and providing confidence values to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resources are reserved in advance for future service instantiation, then resource availability is improved, but resource utilization efficiency deteriorates due to idle reserved resources
Solution Approach 1:
The system performs preliminary resource availability checks before service instantiation by sending resource check requests to network entities and analyzing predicted load conditions. This allows the system to identify resources that are likely to be available without reserving them in advance, thus maintaining reliability while avoiding the waste of idle reserved resources.
Solution Approach 2:
The system implements a feedback mechanism where resource availability check results are analyzed and used to inform service instantiation decisions. The network entity receives feedback about predicted load conditions and resource status, allowing dynamic adjustment of resource allocation without premature reservation, thereby improving both reliability and resource utilization efficiency.
2Productivity
If resources are not reserved in advance, then resource utilization efficiency is improved, but resource availability cannot be guaranteed leading to failed service instantiation
Solution Approach 1:
The system performs preliminary checks of resource availability and predicted load conditions before committing to service instantiation. By analyzing resource status in advance without reserving resources, the system can make informed decisions that guarantee service instantiation success while maintaining high resource utilization efficiency.
Solution Approach 2:
The system uses feedback from resource availability checks and load predictions to determine whether to proceed with service instantiation. This feedback loop ensures that services are only instantiated when resources are confirmed to be available, maintaining reliability without requiring advance resource reservation.
3Measurement precision
If resource availability checks are performed, then resource allocation accuracy is improved, but system complexity increases due to additional checking mechanisms
Solution Approach 1:
The system introduces a resource availability check mechanism that acts as an intermediary between service instantiation requests and resource allocation. This intermediary performs automated checks using predicted load conditions and provides clear availability indicators, improving allocation accuracy while managing complexity through standardized communication protocols.
Solution Approach 2:
The resource availability check system provides structured feedback about resource status and predicted availability. This feedback mechanism enables accurate resource allocation decisions through automated analysis of load conditions, improving measurement precision while keeping system complexity manageable through standardized feedback channels.
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for a resource availability check.