Dynamic Spectrum Sharing Tuning via Core Network Feedback
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Solution Overview
Problem
Existing techniques for dynamic spectrum sharing in radio access networks (RAN) fail to efficiently allocate resources based on 5G core network features, leading to inefficient utilization and waste of computing, networking, and communication resources by incorrectly allocating 4G and 5G traffic.
Innovation Solution
Implementing a closed looped tuning mechanism in RAN devices (eNB/gNB) that calculates resource splits based on quality of service class identifiers and traffic biases, using core network data to adapt spectrum allocation to instantaneous traffic patterns and user experience levels, thereby optimizing resource allocation between 4G and 5G traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic spectrum sharing is implemented to allocate RAN resources between 4G and 5G traffic, then spectrum utilization is improved, but resource allocation efficiency deteriorates due to failure to consider core network features
Solution Approach 1:
The patent implements a closed-loop feedback mechanism where the eNB/gNB receives QoS parameters from the core network, calculates appropriate resource splits, implements the allocation, and monitors performance to adjust future allocations. This feedback loop ensures that resource allocation efficiency is maintained while maximizing spectrum utilization by continuously optimizing based on actual network conditions and core network requirements.
Solution Approach 2:
The patent introduces dynamic adjustment of resource allocation based on real-time traffic patterns, QoS requirements, and core network conditions. The system transitions from static or simple traffic-based allocation to dynamic allocation that adapts to changing network conditions, ensuring optimal spectrum utilization while maintaining high resource allocation efficiency through continuous optimization.
2Speed
If RAN resources are allocated based on instantaneous traffic patterns, then response speed is improved, but allocation accuracy deteriorates due to lack of core network coordination
Solution Approach 1:
The patent applies preliminary action by receiving QoS parameters and core network data in advance before actual resource allocation decisions are made. The eNB/gNB pre-calculates appropriate resource splits based on anticipated traffic patterns and core network requirements, enabling fast response while maintaining high allocation accuracy through pre-planned strategies that align with core network objectives.
Solution Approach 2:
The patent introduces core network data and QoS parameters as intermediary elements that mediate between traffic patterns and resource allocation decisions. These intermediaries provide the necessary context and guidance to ensure that fast responses to traffic changes are accompanied by accurate allocation that reflects core network priorities and requirements.
3Device complexity
If existing radio resources are allocated without considering network slices, then device complexity is reduced, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent applies parameter changes by introducing new parameters (QoS parameters, network slice identifiers, core network data) to the existing resource allocation mechanism. Rather than fundamentally redesigning the complexity of the allocation system, the patent enhances it by adding manageable parameters that enable efficient resource utilization across different network slices and service types while maintaining relative simplicity in the overall architecture.
Data Source
AI summary
A device of a RAN may receive first traffic associated with a first network type service, second traffic associated with a second network type service, and core network data associated with a core network that provides the first network type service and the second network type service. The device may calculate a per QCI split based on the core network data, and may calculate an initial resource split based on the per QCI split. The device may provide, to a first device, data identifying the initial resource split, and may receive a traffic bias per QCI based on providing the data identifying the initial resource split. The device may calculate a final resource split for the first traffic and the second traffic based on the traffic bias per QCI, and may cause the final resource split to be implemented via resources associated with the RAN.