Dynamic Radio Resource Allocation for Non-GBR QoS Differentiation
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Solution Overview
Problem
Current distributed communications systems lack an efficient method to dynamically allocate physical radio resources among non-guaranteed bit rate (non-GBR) quality-of-service class identifiers (QCIs), which limits network operators' ability to customize QoS configurations and provide differentiated services based on subscribers' usage and plan limits.
Innovation Solution
A method that enables a radio circuit in a network node to divide physical radio resources among non-GBR QCIs based on predetermined scheduling ratios, allowing for dynamic rebalancing of resource allocation to maintain or adjust to changes in these ratios, thereby enabling network operators to customize QoS configurations and provide differentiated services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If physical radio resources are statically allocated among non-GBR QCIs, then resource allocation is simple and stable, but network operators cannot customize QoS configurations or provide differentiated services based on usage and plan limits
Solution Approach 1:
The patent implements dynamic resource allocation by introducing a scheduling mechanism that continuously monitors resource usage and adjusts allocations among non-GBR QCIs based on predetermined scheduling ratios. This allows the system to adapt to changing network conditions and subscriber requirements while maintaining manageable complexity through automated control algorithms.
Solution Approach 2:
The patent enables QoS configuration customization by allowing network operators to modify scheduling ratios and allocation parameters for different non-GBR QCIs. These parameter changes dynamically adjust resource distribution without requiring fundamental system redesign, enabling differentiated services based on subscriber usage patterns and plan limits.
2Productivity
If physical radio resources are dynamically reallocated among non-GBR QCIs, then network operators can provide differentiated services, but the system complexity increases due to monitoring and rebalancing requirements
Solution Approach 1:
The patent implements a feedback-driven scheduling system that continuously monitors resource allocation status among non-GBR QCIs and triggers rebalancing actions when predetermined scheduling ratios are not met. This feedback mechanism enables automated service differentiation while managing system complexity through event-triggered control rather than continuous intervention.
Solution Approach 2:
The patent enables the resource allocation system to self-regulate by automatically detecting when scheduling ratios are violated and triggering rebalancing procedures without external intervention. This self-service capability allows the system to maintain optimal resource distribution and provide differentiated services while minimizing the operational burden and complexity management overhead.
3Manufacturing precision
If the system monitors and rebalances scheduling ratios in real-time, then resource allocation accuracy is improved, but processing overhead and system complexity increase
Solution Approach 1:
The patent implements periodic monitoring and rebalancing of scheduling ratios at defined intervals or trigger events rather than continuous real-time processing. This periodic action maintains adequate resource allocation accuracy by detecting and correcting scheduling deviations while reducing processing overhead and system complexity compared to continuous monitoring approaches.
Data Source
AI summary
Allocating a physical radio resource for a non-guaranteed bit rate (non-GBR) bearer in a distributed communications system (DCS) is disclosed. More specifically, the method enables a radio circuit in a network node to divide the physical radio resource among a number of non-GBR quality-of-service (QoS) class identifiers (QCIs) based on a number of predetermined scheduling ratios, respectively. The radio circuit can be configured to dynamically rebalance physical radio resource allocation among the non-GBR QCIs such that the network node can maintain the predetermined scheduling ratios or respond to a reconfiguration of the predetermined scheduling ratios among the non-GBR QCIs. As a result, a network operator(s) can dynamically adjust physical radio resource allocation among the non-GBR QCIs based on, for example, subscribers' network usage and plan limits, thus making it possible for the network operator(s) to customize QoS configuration to enable differentiated non-GBR services.


