CBRS Access Point Interference Mitigation via Dynamic Parameter Adjustment
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Solution Overview
Problem
In CBRS networks, interference between access points and user equipment within the same or different enterprises occurs due to unawareness of the Spectrum Access System (SAS) about the number and location of end users, leading to suboptimal channel allocation and power usage, affecting the quality of service.
Innovation Solution
Implementing a dynamic assignment of operational parameters for access points using machine learning to detect and mitigate interference by reassigning channels and adjusting maximum effective isotropic radiated power (EIRP), with the Digital Network Architecture Center (DNA-C) monitoring and optimizing these parameters to minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the Spectrum Access System (SAS) allocates channels and power without awareness of end user locations, then the system operation is simple, but interference between access points and user equipment increases
Solution Approach 1:
The patent introduces an intermediary system between the SAS and the radio access network that collects location information about end users and provides this information to the SAS. This intermediary layer enables the SAS to make informed decisions about channel allocation and power control without directly implementing complex tracking functionality, thus reducing interference while maintaining operational simplicity.
Solution Approach 2:
The patent implements a feedback mechanism where location information of end users is continuously collected and fed back to the SAS. This feedback enables the SAS to dynamically adjust channel allocations and power levels based on actual user positions, thereby reducing interference between access points and user equipment while maintaining simple system operation.
2Object-affected harmful factors
If dynamic reassignment of channels and power is implemented, then interference is reduced, but system complexity increases
Solution Approach 1:
The patent implements dynamic reassignment of channels and power levels based on real-time location information of end users. The system continuously monitors user positions and adjusts operational parameters accordingly, enabling interference reduction through adaptive behavior rather than static configurations.
Solution Approach 2:
The patent performs preliminary actions by pre-planning and pre-assigning channels and power levels based on predicted or current user locations. This preliminary assignment is then adjusted dynamically as users move, reducing the computational complexity of real-time decisions while maintaining effective interference management.
3Productivity
If machine learning is used for dynamic assignment of operational parameters, then network performance is optimized, but computational requirements and complexity increase
Solution Approach 1:
The patent employs machine learning algorithms that enable the system to automatically learn and optimize operational parameters without extensive human intervention or complex centralized control. The machine learning model processes location information and autonomously determines optimal channel assignments and power levels, improving network performance while managing computational complexity through self-learning capabilities.
Data Source
AI summary
The disclosed technology relates to a process of dynamically assigning operational parameters for access points within a CBRS (Citizen Broadband Radio Service) network. In particular, the disclosed technology monitors for and detects interference between nearby access points and user equipment devices that may belong to the same enterprise or to different enterprises. Machine learning processes are used to revise the operational parameters that were initially assigned by the Spectrum Access System (SAS). These processes are also used to suggest an updated set of operational parameters to the SAS for the access points. The dynamic assignment reduces interference experienced by the access point with respect to nearby other access points and/or nearby other user equipment. The dynamic assignment aims to improve a quality of communication between the access point and its associated user equipment.