Cloud-Based RF Coordination to Reduce Wireless Audio Interference
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Solution Overview
Problem
Wireless audio equipment systems face performance issues due to limited RF spectrum availability and interference from multiple systems, which existing technologies fail to adequately address, especially in environments with varying and unpredictable RF spectrum usage.
Innovation Solution
Implementing a cloud-based collaborative radio frequency management system that uses frequency coordination to optimize RF spectrum deployment, incorporating user interaction through QR codes, NFC tags, and cloud services for efficient spectrum sharing and conflict resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple wireless audio equipment systems operate in the same location, then the quantity of systems increases, but RF spectrum availability decreases and interference increases
Solution Approach 1:
The system performs preliminary RF spectrum analysis and frequency coordination before deployment of wireless audio equipment. The cloud-based platform pre-identifies available frequencies and configures devices to avoid interference, preventing conflicts before they occur rather than resolving them during operation.
Solution Approach 2:
A cloud-based frequency coordination system acts as an intermediary between multiple WAE systems. This central platform receives location information, analyzes RF conditions, and mediates frequency allocation to ensure compatible settings are assigned to each system, reducing direct interference between competing devices.
2Reliability
If frequency coordination is implemented, then interference is reduced, but system complexity increases
Solution Approach 1:
The frequency coordination system automatically performs RF analysis, frequency selection, and device configuration without requiring manual intervention. The cloud-based platform self-manages the coordination process by receiving location data, querying RF conditions, and programmatically configuring devices, reducing the perceived complexity for end users.
Solution Approach 2:
The cloud-based frequency coordination system provides multiple functions through a single unified platform: RF spectrum analysis, frequency coordination, device configuration, and interference monitoring. This multi-functional approach consolidates what would otherwise require separate systems into one integrated solution.
3Reliability
If manual RF spectrum coordination is required, then frequency compatibility can be achieved, but ease of operation decreases
Solution Approach 1:
The system automatically performs RF spectrum analysis and frequency coordination without requiring user expertise. The cloud-based platform handles the complex tasks of analyzing RF conditions, selecting compatible frequencies, and configuring devices programmatically, allowing users with minimal technical knowledge to achieve optimal setup.
Solution Approach 2:
Manual mechanical adjustment of RF parameters is replaced with automated electronic and software-based coordination. The system uses computer algorithms to analyze RF conditions and configure devices, substituting manual operator actions with automated digital processes that are more precise and require no specialized knowledge.
Data Source
AI summary
Aspects of the disclosure relate to radio frequency (RF) spectrum coordination using a cloud-based coordination system. Users may interface with the cloud-based coordination system by scanning a machine-readable code, such as a QR code. The scanning of the code may initiate communication between a user device and the coordination system, and allow for the determination of available frequencies at a particular location or venue and the reservation of one or more frequencies for use by audio devices associated with the user. The audio devices may be configured offline in the event the location or venue has no internet access.