CBRS Carrier Bandwidth Selection Under SAS Revocation Risk
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Solution Overview
Problem
Existing CBRS systems use static predetermined carrier bandwidths that do not consider actual available spectrum, interference, or the risk of grants being revoked, leading to suboptimal system performance.
Innovation Solution
Implementing an O-RAN non-RT RAN intelligent controller application (rApp) that evaluates candidate carrier bandwidths based on risk and interference awareness, using threshold evaluations and deep reinforcement learning to dynamically select optimal bandwidths for CBRS systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If larger carrier bandwidth is selected to increase throughput, then system throughput is improved, but the risk of grant revocation by SAS increases
Solution Approach 1:
The patent implements dynamic carrier bandwidth selection that adjusts bandwidth based on real-time conditions. The system transitions from static predetermined bandwidth to dynamic adaptation, where the RAN intelligent controller continuously monitors SAS grant status, interference levels, and spectrum availability to optimize bandwidth allocation. This resolves the contradiction by allowing the system to select larger bandwidths when conditions permit (improving throughput) while automatically reducing bandwidth when revocation risk increases (maintaining grant stability).
Solution Approach 2:
The system changes the parameter of carrier bandwidth dynamically based on multiple factors including SAS grant probability, interference measurements, and spectrum availability. By treating bandwidth as a variable parameter rather than a fixed value, the system can optimize throughput when grants are stable while reducing bandwidth to maintain grant stability when revocation risk is high, thus resolving the technical contradiction.
2Ease of operation
If static predetermined carrier bandwidth is used to simplify system operation, then ease of operation is improved, but system performance is degraded due to ignoring actual spectrum conditions
Solution Approach 1:
The patent implements a self-service mechanism where the RAN intelligent controller automatically monitors spectrum conditions, evaluates candidate bandwidths, and selects optimal configurations without manual intervention. The system self-adjusts carrier bandwidth based on real-time SAS grant status and interference measurements, eliminating the need for manual bandwidth configuration while optimizing performance. This resolves the contradiction by providing both ease of operation (automation) and improved system performance (adaptive optimization).
Solution Approach 2:
The system performs preliminary evaluation of candidate carrier bandwidths before actual deployment. The RAN intelligent controller pre-assesses multiple bandwidth options by analyzing SAS grant probability, interference levels, and spectrum availability, then selects the optimal bandwidth before system operation begins. This preliminary action ensures both operational simplicity (pre-computed configuration) and performance optimization (condition-based selection).
3Productivity
If dynamic bandwidth selection based on risk and interference is implemented to optimize throughput, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent introduces a RAN intelligent controller as an intermediary between the CBRS system and the SAS. This intermediary component centralizes the complex functions of monitoring SAS grants, measuring interference, evaluating candidate bandwidths, and making selection decisions. By concentrating the complexity in a dedicated controller rather than distributing it across multiple system components, the patent achieves optimized throughput through dynamic bandwidth selection while managing device complexity through architectural consolidation.
4Ease of operation
If carrier bandwidth selection ignores interference conditions to simplify the selection process, then ease of operation is improved, but harmful interference effects increase
Solution Approach 1:
The patent implements feedback mechanisms where the RAN intelligent controller continuously monitors interference conditions and uses this information to adjust carrier bandwidth selections. The system receives feedback about actual interference levels, SAS grant status changes, and spectrum availability, then adapts bandwidth choices accordingly. This feedback loop ensures that interference is properly considered in bandwidth selection, reducing harmful interference effects while maintaining reasonable operational complexity through automated decision-making.
Data Source
AI summary
The technology described herein is directed towards intelligently determining citizens radio broadband system (CBRS) carrier bandwidth(s) based on the risk of granted spectrum being revoked by a Spectrum Access System (SAS). Interference and carrier bandwidth size also can be factors in selecting a carrier bandwidth. The technology described herein can be implemented in an O-RAN non-real time RAN intelligent controller rApp that has logic that selects the carrier bandwidth(s) intelligently. The logic can be based on threshold evaluations, and/or can be implemented via AI/ML. Based on a CBRS device's capabilities, the rApp selects the carrier bandwidth by prioritizing based on each candidate carrier bandwidth's size, risk of being revoked, and interference in the carrier's CBRS channel(s). For carrier aggregation, the rApp selects the bandwidths for the primary component carrier (PCC) and secondary component carrier (SCC) by accepting higher risk of revocation for the SCC relative to the PCC.