Shared Spectrum Coexistence Management via Dynamic Channel Slicing
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Solution Overview
Problem
Current systems for managing coexistence among heterogeneous radio networks in shared spectrum bands face challenges in maximizing spectrum reuse and utilization while avoiding interference, particularly in white space bands, where networks with different radio access technologies and power limitations operate.
Innovation Solution
A management system comprising a processor, neighbor detection engine, load analysis engine, spectrum analysis engine, and channel slicing engine that gathers data on radio networks, determines load levels and interference, and allocates bandwidth and channel slices to optimize spectrum usage and minimize interference among networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple heterogeneous radio networks operate in shared spectrum bands, then spectrum utilization increases, but interference between networks increases
Solution Approach 1:
The shared spectrum is segmented into multiple channel slices that are dynamically allocated to different radio networks based on their load levels and requirements. Each network receives specific frequency portions rather than accessing the entire band, which enables concurrent operation while preventing interference between networks.
Solution Approach 2:
The system dynamically changes spectral parameters (bandwidth allocation, channel assignment) based on real-time load analysis of each radio network. When a network's load changes, the management system adjusts the allocated spectrum parameters to optimize utilization while maintaining interference-free operation.
2Productivity
If bandwidth is allocated to maximize spectrum reuse, then spectrum efficiency improves, but interference control becomes more difficult
Solution Approach 1:
The management system implements continuous feedback mechanisms by monitoring the load levels of each radio network and adjusting bandwidth allocations accordingly. This closed-loop control enables the system to maximize spectrum reuse while automatically maintaining interference control through real-time parameter adjustments.
Solution Approach 2:
The system employs dynamic bandwidth allocation where the spectrum parameters are not fixed but continuously adjusted based on current network conditions. This dynamic approach allows the system to adapt to changing traffic patterns and maintain optimal spectrum reuse while preventing interference.
3Quantity of substance
If channel slices are allocated to multiple radio networks, then spectrum capacity increases, but allocation complexity increases
Solution Approach 1:
The management system performs multiple functions through a single integrated platform: it detects neighbor networks, analyzes load conditions, determines optimal bandwidth allocations, and assigns channel slices. This multi-functional approach increases spectrum capacity while managing allocation complexity within a unified system rather than requiring separate mechanisms for each function.
Data Source
AI summary
Systems and methods for managing coexistence between a plurality of radio networks configured to operate over a shared spectrum are disclosed. These may include gathering a plurality of data about each of the plurality of radio networks; determining a load level associated with each of the plurality of radio networks; determining a bandwidth allocation value, the bandwidth allocation value based at least on the load level; and allocating a plurality of channel slices among the plurality of radio networks.