Distributed Spectrum Harvesting via Staggered Scanning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current spectrum harvesting techniques face difficulties in detecting frequency hopping emitters and radio frequency emitters due to factors like shadowing, fading, and noise, and are inefficient in finding usable frequency channels.
Innovation Solution
A communication device and system that employ distributed and staggered spectrum harvesting, where multiple devices scan a frequency band in a coordinated manner and share spectral occupancy data using a round-robin scheme to improve detection accuracy and speed, allowing for continuous and near real-time spectrum harvesting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single spectrum harvester scans a frequency band, then the scanning process is simple, but the detection of frequency hopping emitters is difficult and scanning speed is slow
Solution Approach 1:
The frequency band is divided into multiple sub-bands, and multiple spectrum harvesters are distributed across different locations to scan different sub-bands simultaneously. This segmentation enables parallel scanning, significantly improving scanning speed and the ability to detect frequency hopping emitters while maintaining manageable individual device complexity
Solution Approach 2:
The system transitions from a single-point scanning approach to a distributed spatial arrangement where multiple harvesters are positioned at different locations. This adds a spatial dimension to the scanning process, enabling simultaneous multi-location monitoring that improves detection capability without proportionally increasing overall system complexity
2Measurement precision
If multiple spectrum harvesters scan different sub-bands, then scanning speed and detection capability improve, but system complexity increases
Solution Approach 1:
Multiple spectrum harvesters are merged into a coordinated network where each harvester scans a specific sub-band and shares results with others. The combination of multiple detection efforts creates a comprehensive view of the frequency band, improving detection accuracy while distributing the complexity across individual manageable units
Solution Approach 2:
The system implements feedback mechanisms where spectrum occupancy data is shared between harvesters through network communication. Each harvester receives feedback about spectral conditions from others, enabling coordinated detection and reducing redundant scanning, thereby improving accuracy without linearly increasing system complexity
3Reliability
If spectrum harvesting is performed continuously, then real-time detection is achieved, but energy consumption increases
Solution Approach 1:
Instead of every harvester continuously scanning the entire frequency band, each harvester performs partial scanning of its assigned sub-band. This partial action approach achieves real-time detection coverage across the full band through coordination, while significantly reducing the energy consumption of individual devices and the overall system
Data Source
AI summary
Spectrum harvesting methods and spectrum harvesters implementing such spectrum harvesting methods are disclosed. In some embodiments, multiple spectrum harvesters may be configured to scan a frequency band of interest in a distributed and staggered manner. The results obtained by the spectrum harvesters may be shared with each other according to a round-robin scheme. Distributed scanning and round-robin sharing techniques configured in accordance with the inventive concepts disclosed herein may allow the spectrum harvesters to jointly function as a continuous spectrum scanner capable of providing near real time spectrum harvesting.