Prioritized Spectrum Management for Mixed Wireless Standards
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Solution Overview
Problem
Existing spectrum management systems struggle to efficiently manage the finite wireless communications spectrum due to diverse devices operating at different frequencies and technological standards, leading to inefficiencies and difficulties in optimizing spectrum usage across varying regulations and growing demand.
Innovation Solution
A system for dynamic, prioritized spectrum utilization management that includes monitoring sensors, data analysis engines, a semantic engine with programmable rules, and a tip and cue server to automatically detect signals, divide spectrum bands, and create actionable data, utilizing machine learning and edge analytics for real-time optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional static spectrum allocation methods are used, then regulatory compliance is maintained, but spectrum utilization efficiency deteriorates due to finite spectrum resources and exponentially growing wireless demand
Solution Approach 1:
The patent implements dynamic spectrum sharing that allows spectrum resources to be allocated flexibly based on real-time network conditions, traffic demands, and service priorities. The system continuously monitors spectrum usage and dynamically adjusts allocations between 5G NR and LTE networks, enabling efficient utilization of finite spectrum resources while maintaining regulatory compliance through programmable rules.
Solution Approach 2:
The system changes spectrum allocation parameters dynamically by adjusting bandwidth parts, frequency ranges, and resource block assignments based on varying network conditions. The programmable rules engine modifies allocation parameters in real-time to optimize spectrum utilization efficiency while ensuring compliance with regulatory requirements.
2Adaptability or versatility
If diverse devices operating at different frequencies and technological standards are supported, then device compatibility is improved, but spectrum management complexity increases due to varying regulations and growing demand
Solution Approach 1:
The patent implements a universal spectrum management system that handles multiple wireless technologies (5G NR, LTE, and future releases) through a single programmable platform. The system provides multi-functional capabilities including spectrum sensing, analysis, allocation, and monitoring across different frequency ranges and technological standards, reducing management complexity while supporting diverse devices.
Solution Approach 2:
The programmable rules engine acts as an intermediary that mediates between diverse devices with different requirements and the spectrum management functions. It translates varying device needs and regulatory requirements into standardized allocation decisions, simplifying the management of complex multi-technology environments.
3Productivity
If dynamic spectrum sharing is implemented, then spectrum utilization efficiency is improved, but interference between networks increases without proper management
Solution Approach 1:
The system implements continuous feedback mechanisms by monitoring spectrum usage, interference levels, and network performance in real-time. The programmable rules engine uses this feedback to dynamically adjust spectrum allocations between 5G NR and LTE networks, optimizing utilization efficiency while maintaining interference below acceptable thresholds through closed-loop control.
Solution Approach 2:
The system applies preliminary anti-action by predicting potential interference scenarios and preemptively adjusting spectrum allocations to prevent harmful interference before it occurs. The programmable rules engine proactively manages resource assignments to avoid conflicts between coexisting networks, maintaining efficient spectrum utilization while preventing interference issues.
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.