Spectrum Management via Adaptive Measurement Configuration

The patent applies dynamics by making the graph reconstruction frequency adaptive rather than static. The system dynamically adjusts when to reconstruct the graph based on the magnitude of topological changes and network conditions, allowing frequent updates when changes are significant while maintaining stability when changes are minor. This resolves the contradiction by making the system responsive to actual needs rather than following a fixed schedule.

The patent changes the parameter of graph update frequency from a constant value to a variable that depends on topological change thresholds and network state. By introducing parameter changes based on measured conditions, the system can allocate resources accurately when necessary while avoiding unnecessary reconstructions that would destabilize the system, thus resolving the contradiction between accuracy and stability.

The patent applies local quality by differentiating between minor and major topological changes. Instead of uniformly reconstructing the graph for any change, the system applies different levels of processing: minor changes trigger localized updates while major changes trigger full reconstructions. This selective approach maintains accuracy for significant changes while reducing computational complexity for minor fluctuations.

The patent implements partial action by performing only the necessary portion of graph reconstruction based on the type of topological change. For minor changes, only affected portions of the graph are updated rather than reconstructing the entire graph. This reduces computational complexity while maintaining sufficient accuracy for the level of change detected.

The patent applies preliminary action by pre-calculating and storing graph properties and resource allocation schemes for different topological configurations. When topological changes occur, the system can quickly retrieve pre-computed information rather than performing full recalculations, maintaining responsiveness while reducing the computational burden that would limit scalability.

The patent implements periodic action by performing resource allocation recalculations at scheduled intervals rather than continuously responding to every instantaneous change. This periodic approach allows the system to maintain responsiveness to significant changes while avoiding the computational overhead of continuous recalculations, thereby improving scalability without sacrificing essential responsiveness.