RF Spectrum Sensing Architecture for Real-Time Network Resource Optimization
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Solution Overview
Problem
Effective spectrum management is hindered by the diverse range of wireless devices operating at different frequencies and technological standards, coupled with growing demand for limited spectrum resources, making efficient utilization challenging.
Innovation Solution
A system comprising a single chip or circuit board with integrated sensor units and RF analysis engines for real-time electromagnetic data processing, enabling dynamic spectrum sharing and optimization through Multi-Access Edge Computing (MEC) layers to create actionable data for network resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple wireless devices operate at different frequencies and technological standards, then spectrum coverage and device compatibility are improved, but spectrum management complexity and difficulty increase
Solution Approach 1:
The patent segments the spectrum management function into distributed sensor units that independently monitor specific frequency bands and technologies, with results aggregated by RF analysis engines. This division allows each sensor unit to focus on specific parameters while the system as a whole achieves comprehensive coverage across multiple frequencies and standards.
Solution Approach 2:
The patent introduces RF analysis engines as intermediary components between the diverse wireless devices and the spectrum management system. These engines standardize the data from various devices operating at different frequencies and technologies, converting heterogeneous signals into unified actionable data that simplifies overall spectrum management.
2Productivity
If real-time spectrum analysis is implemented, then spectral efficiency and network optimization are improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by having sensor units continuously monitor and pre-process RF data in real-time, maintaining a ready state of spectrum information. This allows the system to quickly respond to changing conditions without requiring extensive processing when optimization decisions are needed, as baseline data is already available.
Solution Approach 2:
The sensor units and RF analysis engines operate autonomously, with each unit independently analyzing its assigned frequency bands and generating actionable data without requiring centralized processing of every raw data point. This self-service approach reduces the computational burden on central systems while maintaining real-time spectral efficiency.
3Productivity
If integrated sensor units and RF analysis engines are deployed, then network resource optimization and spectral efficiency are improved, but device complexity and manufacturing costs increase
Solution Approach 1:
The patent designs sensor units and RF analysis engines with multi-functionality, allowing each device to handle multiple frequency bands, wireless standards, and analysis tasks simultaneously. This universal design reduces the total number of specialized devices needed while achieving comprehensive spectrum management and resource optimization across diverse networks.
Solution Approach 2:
The patent combines sensor units and RF analysis engines into integrated modules that can be co-located or combined in single devices. This merging reduces the overall system complexity by eliminating the need for separate deployment and coordination of discrete sensor and analysis components, while maintaining the full functionality for network resource optimization.
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.