Spectrum Broker Control for Real-Time Network Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing spectrum management systems face challenges in efficiently utilizing the finite wireless communication spectrum due to diverse devices operating at different frequencies and technological standards, leading to difficulties in effective regulation and optimization across global regulations.
Innovation Solution
A system employing monitoring sensors, Fast Fourier Transform engines, data analysis engines, and Multi-Access Edge Computing (MEC) layers to analyze electromagnetic environments, identify signal parameters, and optimize network resources through programmable rules and policy editors, enabling real-time dynamic spectrum utilization management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional spectrum management systems are used to regulate diverse wireless devices operating at different frequencies and technological standards, then global regulation coverage is achieved, but effective spectrum optimization and utilization efficiency deteriorate due to the complexity of managing multiple devices and standards
Solution Approach 1:
The patent introduces a spectrum broker as an intermediary entity that mediates between spectrum resources and wireless devices. The spectrum broker collects information from multiple sources including spectrum sensors, database systems, and device requests, then processes this information to make intelligent spectrum allocation decisions. This intermediary approach simplifies the management complexity by centralizing the decision-making process while maintaining adaptability to diverse devices and standards through programmable rules and machine learning algorithms.
2Adaptability or versatility
If the number of wireless devices and technological standards increases to meet growing communication needs, then service coverage and accessibility improve, but the complexity of spectrum regulation and management increases
Solution Approach 1:
The patent employs parameter changes by using programmable rules and policies that can be dynamically adjusted based on device types, frequency bands, and service requirements. The system stores device-specific parameters in a database and uses these parameters to automatically configure spectrum allocation, power levels, and transmission settings. This approach allows the system to adapt to diverse devices without increasing manual management complexity, as the complexity is shifted to automated parameter configuration.
Solution Approach 2:
The spectrum management system implements self-service mechanisms where devices automatically register themselves with the spectrum broker, declaring their capabilities, required frequency bands, and service needs. The spectrum broker then automatically matches devices with appropriate spectrum resources based on stored rules and real-time spectrum availability. This self-service approach reduces management complexity by eliminating manual device registration and configuration processes.
3Productivity
If real-time spectrum analysis and optimization is implemented to improve resource allocation, then spectrum utilization efficiency improves, but system complexity and computational requirements increase
Solution Approach 1:
The patent segments the spectrum management system into multiple independent components: spectrum sensors for physical layer monitoring, data collection modules for gathering device information, rule engines for policy-based decision making, machine learning models for predictive analysis, and spectrum brokers for coordination. Each component operates independently with well-defined interfaces, allowing the system to handle real-time analysis without overwhelming complexity. The segmentation enables parallel processing of different spectrum bands and device types.
Solution Approach 2:
The spectrum broker acts as an intermediary that aggregates information from multiple sensors and data sources, then coordinates spectrum allocation decisions. This intermediary layer simplifies the computational complexity by centralizing the decision-making process and using pre-configured rules and machine learning models to make rapid decisions without requiring complex real-time calculations across the entire system. The broker mediates between resource requests and available spectrum, optimizing utilization through intelligent algorithms.
Data Source
AI summary
Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and/or user defined policies and rules to extract actionable information to help the customer optimize the network resources.