Cloud Spectrum Coordination for Wi-Fi LTE-U Channel Selection
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Solution Overview
Problem
Current Wi-Fi and LTE-U networks suffer from inefficient spectrum management, leading to congestion and unreliable connections due to the lack of coordination between individual networks and limited ability to adapt to changing conditions, resulting in inefficient utilization of shared unlicensed spectrum.
Innovation Solution
A cloud-based data fusion and computation element is integrated with wireless agility agents to collect and analyze real-time spectral information, enabling network self-organization and adaptive control of dynamic frequency selection across 802.11 ac/n and LTE-U networks, using a split-intelligence architecture that combines data from multiple sources for optimized channel selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If standalone Wi-Fi and LTE-U networks operate independently with primitive control algorithms, then device complexity is reduced and ease of manufacture is improved, but spectrum utilization efficiency deteriorates and network reliability worsens due to lack of coordination and high collision frequency
Solution Approach 1:
The patent introduces a spectrum coordination entity that acts as an intermediary between Wi-Fi and LTE-U networks. This mediator collects spectral information from both networks, processes it centrally, and coordinates channel selection to avoid conflicts. The intermediary resolves the reliability issue by enabling coordination without requiring complex modifications to the standalone devices themselves.
Solution Approach 2:
The system segments the intelligence into two parts: simple embedded radios in standalone devices for local spectral sensing, and a centralized spectrum coordination entity for global decision-making. This segmentation allows devices to remain simple and easy to manufacture while the centralized entity handles the complex coordination tasks needed for reliable operation.
2Measurement precision
If embedded radios in agility agents collect real-time spectral information continuously from multiple sources, then measurement precision and detection sensitivity are improved, but device complexity and energy consumption increase
Solution Approach 1:
The patent merges the spectral measurement functions of multiple distributed agility agents into a unified spectral information database managed by the spectrum coordination entity. By combining data from multiple sources centrally, the system achieves high measurement precision without requiring each individual device to possess complex processing capabilities. The complexity is consolidated in the coordination entity rather than distributed across all devices.
Data Source
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AI summary
The present invention relates to wireless networks and more specifically to a method and apparatus for integrating spectrum data from a plurality of autonomous radio agents with a cloud-based data fusion and computing element that enables network self-organization and adaptive control of dynamic frequency selection in 802.11 ac/n and LTE-U networks. In one embodiment, the present invention provides a cloud intelligence engine communicatively coupled to a plurality of multi-channel DFS masters that is configured to receive spectral information from the plurality of multi-channel DFS masters, integrate the spectral information with other spectral information to generate integrated spectral information, and determine communication channels for the plurality of multi-channel DFS masters based at least on the integrated spectral information.