Dynamic Backhaul Bearer Service Allocation Based on Network Load
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Solution Overview
Problem
The existing allocation of bearer services in wireless communication networks is often inefficient, leading to under-utilization of available network resources, as it is based solely on the application for which the service is allocated, potentially failing to provide higher Quality of Service (QoS) when sufficient resources are available.
Innovation Solution
The method involves dynamically allocating backhaul bearer services based on network loading conditions, allowing for the selection and establishment of a bearer service with a higher QoS than the standard service when network resources are sufficient, by determining if the backhaul load does not exceed a threshold, and using this information to upgrade Non-GBR services to GBR services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If bearer service allocation is based solely on application type using standard bearer services, then allocation simplicity is maintained, but network resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic bearer service allocation by introducing load threshold monitoring and conditional service type selection. The system dynamically adjusts bearer service allocation based on real-time network loading conditions, transitioning from static application-based allocation to adaptive resource management that optimizes network resource utilization while maintaining operational simplicity through automated decision-making
Solution Approach 2:
The patent changes the allocation parameters from fixed application-type matching to dynamic load-condition-based selection. By monitoring network load thresholds and adjusting bearer service allocation decisions accordingly, the system transforms rigid standard bearer service allocation into a flexible parameter-driven approach that improves resource utilization efficiency without complicating the allocation process
2Loss of energy
If Non-GBR bearer service is allocated to low-priority applications, then resource conservation is achieved, but Quality of Service deteriorates when network resources are sufficient
Solution Approach 1:
The patent implements dynamic QoS optimization by introducing load threshold monitoring and conditional service type selection. When network loading falls below predetermined thresholds, the system dynamically upgrades bearer services from Non-GBR to GBR type, thereby improving Quality of Service for applications without permanently allocating excessive resources. This dynamic adjustment resolves the contradiction by adapting resource allocation to actual network conditions
Solution Approach 2:
The patent employs feedback mechanisms through continuous monitoring of network loading conditions and comparison against predetermined thresholds. This feedback loop enables the system to make informed decisions about bearer service allocation, upgrading services when resources are abundant and maintaining conservation when resources are constrained, thereby optimizing both resource efficiency and Quality of Service
3Reliability
If GBR bearer service is permanently allocated, then Quality of Service is improved, but network resource utilization efficiency deteriorates due to under-utilization when not needed
Solution Approach 1:
The patent transforms permanent GBR bearer service allocation into a dynamic, condition-based allocation strategy. By monitoring network loading conditions and implementing threshold-based decision-making, the system allocates GBR services only when network resources are sufficient, thereby maintaining high Quality of Service while preventing resource under-utilization and improving overall network resource efficiency
Solution Approach 2:
The patent applies partial action by allocating GBR bearer services selectively rather than universally. Instead of permanently allocating GBR services to all applications, the system provides enhanced QoS only to specific applications when network conditions permit, thereby optimizing the balance between Quality of Service improvement and network resource utilization efficiency
Data Source
AI summary
A method and system for dynamically allocating backhaul bearer service based on network loading conditions to help use backhaul-network resources more efficiently. A RAN detects an event relating to bearer service establishment for a given application. Then the RAN identifies a standard bearer service for the given application, where the standard bearer service has a first quality of service. After detecting the event, the RAN determines that a load of the backhaul communication network does not exceed a load threshold. Then, based on the determination that the load of the backhaul communication network does not exceed the load threshold, the RAN selects a bearer service for the given application, where the selected bearer service has a second quality of service that is higher than the first quality of service. Next, the RAN causes the selected bearer service to be established.