Hybrid Quantum-Conventional Spectrum Analyzer
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Solution Overview
Problem
Current mobile network technologies fail to efficiently detect and utilize underutilized spectrum across wide bands without causing interference, as they cannot detect PHY and MAC signatures of other networks or dynamically assign frequencies to mobile devices without polling databases or adhering to exclusion zones.
Innovation Solution
A hybrid quantum-conventional computational system that analyzes band capture data to differentiate between polynomial time and NP-hard problems, using a quantum computer to process NP-hard problems and a conventional computer to process polynomial time problems, allowing for real-time detection of network signatures and traffic patterns to dynamically assign frequencies to mobile devices without interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional computing is used to detect and assign spectrum frequencies, then the system can operate with existing technology, but it cannot efficiently detect PHY and MAC signatures of other networks or dynamically assign frequencies without polling databases
Solution Approach 1:
The patent replaces conventional computing systems with quantum computing systems to detect and analyze spectrum usage. The quantum computer processes band capture data to identify PHY and MAC signatures of incumbent networks, enabling precise detection of spectrum occupancy patterns without relying on database polling or exclusion zones.
2Productivity
If the network polls databases or avoids exclusion zones to determine spectrum availability, then it can ensure regulatory compliance, but it cannot dynamically assign frequencies in real-time
Solution Approach 1:
The quantum computer performs preliminary analysis of band capture data to pre-identify available spectrum bands and incumbent network patterns. This allows the system to dynamically assign frequencies in real-time based on detected traffic patterns without needing to poll databases or adhere to rigid exclusion zones during operation.
Solution Approach 2:
The system uses the quantum computer to autonomously detect spectrum occupancy, analyze traffic patterns, and assign frequencies without external database polling. The quantum computing system self-serves by processing band capture data directly to determine optimal frequency assignments for mobile devices.
3Productivity
If the system assigns frequencies dynamically based on real-time detection, then spectrum utilization is maximized, but the computational complexity of analyzing wide band spectrum data becomes NP-hard
Solution Approach 1:
The patent employs quantum computing to solve the NP-hard computational problem of analyzing wide band spectrum data. The quantum computer processes band capture data to detect PHY and MAC signatures, identify traffic patterns, and determine optimal frequency assignments, achieving maximum spectrum utilization without the computational limitations of classical systems.
4Adaptability or versatility
If conventional networks use unlicensed spectrum with energy sensing, then they can share spectrum resources, but they create interference through collision-based protocols
Solution Approach 1:
The quantum computer analyzes band capture data to detect incumbent network signatures and identify underutilized spectrum bands. This enables the mobile network to assign frequencies in real-time based on actual spectrum usage patterns, avoiding interference through intelligent detection rather than collision-based protocols.
Solution Approach 2:
The system continuously monitors spectrum usage by detecting PHY and MAC signatures of incumbent networks, uses this feedback to dynamically adjust frequency assignments for mobile devices, thereby avoiding interference and optimizing spectrum utilization in real-time.
Data Source
AI summary
A wireless communications system includes a feedback processing unit for analyzing captured bandwidth data from a remote radio head, and a problem-type processor in operable communication with the feedback processing unit. The problem-type processor is configured to (i) analyze the captured bandwidth data to determine whether the captured bandwidth data presents one of a computational polynomial time problem and a non-deterministic polynomial-time hard (NP-hard) problem, and (ii) transmit problem-specific data based on the determination. The system further includes a communications processor in operable communication with the problem-type processor. The communications processor is configured to process polynomial time problem data from the transmitted problem-specific data. The system further includes a quantum computer in operable communication with the problem-type processor. The quantum computer is configured to process NP-hard problem data received from the transmitted problem-specific data.