RIC Channel Reselection for Reliable CBRS Spectrum Sharing
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Solution Overview
Problem
Existing CBRS networks face challenges in maintaining service reliability and quality due to dynamic spectrum sharing, leading to potential disruptions and inefficiencies in channel selection and reselection, particularly in O-RAN architectures, which can impact the quality of service and violate Service Level Agreements.
Innovation Solution
Implementing an AI/ML-based RIC (Radio Intelligent Controller) within the O-RAN architecture for CBRS networks to predict and manage channel selection and reselection, utilizing interference measurements and traffic patterns to ensure continuous operation on the best available channel, minimizing disruptions and optimizing energy use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic spectrum sharing is implemented in CBRS networks, then spectrum utilization efficiency is improved, but service reliability and quality deteriorate due to potential channel disruptions
Solution Approach 1:
The RIC performs preliminary channel selection and prediction before actual channel transitions are needed. By analyzing historical interference patterns and traffic data in advance, the system pre-determines optimal channel sequences, allowing seamless transitions when incumbents appear without service disruption
Solution Approach 2:
The system continuously monitors channel conditions, interference levels, and incumbent presence, feeding this information back to the RIC. This real-time feedback enables dynamic adjustment of channel selection strategies, maintaining service reliability while adapting to changing spectrum conditions
2Object-affected harmful factors
If manual channel reselection is performed when incumbents appear, then interference protection is improved, but service disruption increases
Solution Approach 1:
The RIC predicts incumbent appearance patterns and pre-calculates optimal channel transition sequences before incumbents actually appear. When an incumbent is detected, the system can immediately execute the pre-planned channel switch, minimizing service disruption time while ensuring interference protection
Solution Approach 2:
The channel reselection process transitions from static, rule-based manual switching to dynamic, AI-driven automated reselection. The system adapts channel selection in real-time based on predicted incumbent behavior patterns, traffic conditions, and interference measurements, optimizing both protection and continuity
3Object-affected harmful factors
If frequent channel switching is performed to avoid incumbents, then interference avoidance is improved, but energy consumption increases
Solution Approach 1:
Instead of switching channels every time an incumbent appears, the RIC analyzes whether channel switching is truly necessary by considering traffic patterns, QoS requirements, and predicted incumbent duration. The system performs channel switching only when absolutely required, reducing unnecessary transitions and associated energy consumption while maintaining adequate interference avoidance
Solution Approach 2:
The system dynamically adjusts channel selection based on changing parameters including traffic load, QoS requirements, predicted incumbent behavior, and historical interference patterns. By optimizing channel transitions based on multiple varying parameters, the system achieves effective interference avoidance while minimizing energy-wasting frequent switches
Data Source
AI summary
A non-real time RIC is configured to perform channel selection and reselection for an O-RAN to operate a CBRS network. The non-real time RIC includes a REST API interface configured to receive, from a domain proxy, operator-configured channel preference information and domain proxy time series data, and to provide a channel selection from the non-real time RIC; an R1 interface configured to receive, from an SMO database storing A1 feedback from a near-real time RIC, the A1 feedback representing channel interference over time; and an A1 interface configured to trigger, toward the near-real time RIC, a policy for channel reselection in response to the domain proxy time series data and the A1 feedback.