Autonomous Spectrum Management for Dynamic Priority Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing spectrum management systems face challenges in efficiently managing and optimizing the use of limited wireless communication spectrum due to the diverse range of devices operating at different frequencies and technological standards, and the growing demand for spectrum resources, leading to difficulties in effective regulation and utilization.
Innovation Solution
A system for autonomous spectrum management that includes monitoring sensors, data analysis engines, a semantic engine with programmable rules and policy editors, and a tip and cue server, capable of autonomously detecting and learning electromagnetic environments to prioritize and optimize spectrum utilization without user interaction.
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 standards, then spectrum utilization can be maintained, but the system complexity and difficulty of effective regulation increase significantly
Solution Approach 1:
The patent introduces a spectrum manager as an intermediary component that mediates between diverse wireless devices and the spectrum allocation system. The spectrum manager receives spectrum information from multiple radio nodes, processes it centrally, and makes allocation decisions, thereby simplifying the overall system complexity while maintaining adaptability to diverse devices and standards
Solution Approach 2:
The electronic processor in the spectrum manager is designed to handle multiple functions: receiving spectrum information from various radio nodes, sensing local spectrum conditions, allocating resources for traffic data channels, and managing broadcast control channels. This multi-functional design allows a single system to manage diverse wireless devices operating at different frequencies and standards without requiring separate management systems for each
2Productivity
If more spectrum resources are allocated to meet growing wireless demand, then service capacity increases, but spectrum scarcity and interference problems worsen
Solution Approach 1:
The patent implements dynamic spectrum allocation where the electronic processor continuously receives spectrum information from radio nodes and local spectrum sensing data, then dynamically adjusts resource allocation for traffic data channels. This dynamic approach allows the system to adapt to changing spectrum conditions and demand patterns, increasing service capacity while minimizing interference through real-time optimization
Solution Approach 2:
The system incorporates feedback mechanisms where spectrum information is continuously received from radio nodes and local spectrum conditions are sensed, then this information feeds back to the electronic processor which adjusts spectrum allocation decisions. This closed-loop feedback system enables the network to respond to interference conditions and optimize spectrum utilization, balancing service capacity with interference management
3Reliability
If manual spectrum management approaches are used, then regulatory control can be maintained, but the time required for effective spectrum optimization increases
Solution Approach 1:
The spectrum manager operates autonomously by receiving spectrum information from radio nodes, performing local spectrum sensing, and automatically making allocation decisions without requiring manual intervention. The electronic processor independently manages resource allocation for traffic data channels and broadcast control channels, enabling the system to optimize spectrum utilization in real-time while maintaining regulatory control through programmable rules and policies
Data Source
AI summary
Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.