Collaborative Spectrum Sensing for Unlicensed Spectrum Harvesting
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Solution Overview
Problem
Next-generation wireless networks face challenges in survivability during failures or disasters due to limited spectral capacity in licensed bands, and existing techniques lack effective methods for dynamic unlicensed spectrum harvesting and collaborative spectrum sensing.
Innovation Solution
The implementation of spectrum harvesting functions (SHF) in edge computing systems for unlicensed spectrum utilization, utilizing distributed edge nodes with hybrid spectrum sensing techniques and collaborative analytics across multiple operators to build opportunistic occupancy maps, enabling dynamic spectrum sharing and sensing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If licensed spectrum capacity is increased to ensure network survivability during failures or disasters, then network reliability is improved, but spectral capacity limitations prevent adequate backup resources
Solution Approach 1:
The patent introduces unlicensed spectrum as an intermediary resource that mediates between the need for reliable communication and the limitation of licensed spectrum capacity. By enabling devices to sense and utilize unlicensed spectrum opportunities, the system creates a supplemental communication pathway that enhances network survivability without requiring additional licensed spectrum resources.
Solution Approach 2:
The patent changes the operational parameters of spectrum utilization by transitioning from exclusive licensed spectrum usage to hybrid licensed-unlicensed spectrum access. This involves dynamic parameter adjustments including spectrum sensing thresholds, transmission power levels, and resource allocation strategies that enable flexible adaptation to available spectrum conditions during normal and disaster scenarios.
2Adaptability or versatility
If unlicensed spectrum harvesting is implemented to provide additional spectral capacity, then network resilience is enhanced, but device complexity increases due to collaborative spectrum sensing requirements
Solution Approach 1:
The patent segments the spectrum sensing function into distributed components performed by individual devices rather than a centralized system. Each device independently performs local spectrum sensing and reports findings to the network, dividing the overall sensing task into manageable segments that reduce individual device complexity while collectively providing comprehensive spectrum awareness.
Solution Approach 2:
The patent implements self-service mechanisms where devices autonomously perform spectrum sensing, analyze local spectrum opportunities, and make transmission decisions without requiring complex centralized control for each sensing operation. The network provides coordination frameworks and aggregation functions, but individual devices independently manage their own spectrum access, reducing overall system complexity.
3Measurement precision
If collaborative spectrum sensing across multiple operators is implemented, then unlicensed spectrum opportunities are better identified, but system complexity and coordination overhead increase
Solution Approach 1:
The patent creates universal spectrum sensing frameworks that can be deployed across multiple operators' networks with common protocols and data formats. The collaborative sensing mechanism serves multiple functions including spectrum opportunity detection, interference coordination, and resource allocation across different operators, reducing the need for operator-specific complex coordination systems.
Solution Approach 2:
The patent merges spectrum sensing data and coordination functions across multiple operators into a unified collaborative framework. By combining sensing resources, data processing capabilities, and coordination mechanisms into an integrated system, the patent achieves improved spectrum opportunity detection accuracy while managing coordination complexity through shared infrastructure and standardized interfaces.
Data Source
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AI summary
A computing node includes interface circuitry and processing circuitry. To implement a spectrum harvesting entity in a wireless network configured for crowdsource-based unlicensed spectrum harvesting, the processing circuitry is configured to select a set of crowdsourcing nodes from a plurality of crowdsourcing nodes available in the wireless network. A plurality of spectrum occupancy reports (SORs) is received from the set of crowdsourcing. Each of the plurality of SORs indicates a channel occupancy status of a communication channel in the unlicensed spectrum sensed by a corresponding crowdsourcing node of the set and geolocation associated with the corresponding crowdsourcing node. A spectrum occupancy map of the unlicensed spectrum is generated based on the channel occupancy status and the geolocation provided in the plurality of SORs by each crowdsourcing node of the set of crowdsourcing nodes.