Spectrum Access Control Using Feedback-Refined Propagation Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing spectrum sharing methods in the CBRS and 5/6 GHz bands face inefficiencies due to unreliable channel sensing and conservative/liberal propagation models, leading to sparse spectrum use or interference, which are manually resolved and lack dynamic adjustment.
Innovation Solution
A data-driven approach that utilizes feedback from spectrum user devices and end user devices to refine propagation models and interference thresholds, allowing dynamic spectrum allocation and reuse based on actual interference and coverage conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conservative propagation models are used for spectrum allocation, then interference protection is improved, but spectrum use efficiency deteriorates
Solution Approach 1:
The system dynamically adjusts propagation model parameters based on real-time feedback from spectrum users. Instead of using static conservative models, the SAC updates model parameters adaptively to reflect actual propagation conditions, allowing the system to optimize between interference protection and spectrum utilization efficiency
Solution Approach 2:
The system implements a feedback mechanism where spectrum users report actual interference and coverage conditions to the Spectrum Access System. This feedback is used to refine propagation models and adjust allocation decisions, enabling the system to learn from real-world performance and improve both protection and efficiency over time
2Productivity
If liberal propagation models are used for spectrum allocation, then spectrum use efficiency is improved, but interference to protected entities worsens
Solution Approach 1:
The system uses dynamic parameter adjustment to transition from static liberal models to adaptive models that respond to actual conditions. The SAC modifies propagation model parameters based on feedback, allowing the system to achieve high spectrum utilization while dynamically maintaining protection levels for incumbent services
Solution Approach 2:
The system changes propagation model parameters based on empirical feedback data. By adjusting parameters such as path loss exponents and shadowing factors according to real-world measurements, the system achieves more accurate predictions that enable efficient spectrum use without compromising protected entity performance
3Device complexity
If manual resolution of interference concerns is used, then interference management is simplified, but system complexity and resolution time worsen
Solution Approach 1:
The system implements self-service through automated interference management. The SAC automatically receives feedback from spectrum users, identifies interference issues, adjusts propagation models, and reallocates spectrum resources without manual intervention. This automation reduces both the perceived complexity for users and the time required to resolve interference concerns
Data Source
AI summary
A data driven spectrum sharing approach is implemented amongst users of a shared band. A spectrum access controller (SAC) estimates interference and allocates spectrum in one or more bands to a plurality of spectrum user devices, e.g., macro base stations, small cell base stations, access points, etc. Different spectrum user devices in the plurality of spectrum user devices may correspond to different service providers, may use different technologies, may use different communications protocols, and/or may have different transmission power levels. The spectrum user devices send data feedback reports to the SAC including, e.g., received signals strength information, signal quality information, interference information, etc. The SAC uses the received data feedback reports to adjust, e.g., fine tune, interference limits and/or propagation model parameters. The SAC uses the adjusted, e.g., refined, interference limits and adjusted, e.g., refined propagation models, to make more accurate decisions regarding spectrum reuse.