Dynamic Spectrum Allocation via Predictive Quality Modeling
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Solution Overview
Problem
Current radio frequency spectrum sharing systems are static and fail to respond to real-time conditions, leading to inefficiencies in spectrum allocation and utilization, with manual processes, outdated data, and lack of real-time awareness, resulting in underutilization and interference issues.
Innovation Solution
The system employs dynamic optimization using predictive modeling and real-time measurements to allocate spectrum based on predicted and measured quality, enabling sub-leasing and micro-leasing, granular spectrum requests, and dynamic billing to ensure optimal resource allocation and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static spectrum allocation policies are used, then spectrum management is simple, but spectrum utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic spectrum allocation by continuously monitoring spectrum conditions and automatically adjusting allocations in real-time. The system transitions from static pre-assigned spectrum to dynamic assignments that adapt to changing conditions, improving utilization efficiency while maintaining manageable complexity through automated decision-making algorithms.
Solution Approach 2:
The system employs feedback mechanisms where spectrum usage data and interference measurements are continuously collected and used to inform subsequent allocation decisions. This closed-loop approach enables the system to learn from past allocations and optimize future assignments, resolving the contradiction between simple management and efficient utilization.
2Device complexity
If manual spectrum allocation processes are used, then system implementation is simple, but allocation speed and responsiveness deteriorate
Solution Approach 1:
The spectrum allocation system performs self-service by automatically making allocation decisions based on monitored conditions without requiring manual intervention. The automated system monitors spectrum usage, identifies opportunities for optimization, and executes reallocations independently, achieving fast response times while keeping the implementation framework relatively simple through rule-based or AI-driven decision algorithms.
3Device complexity
If spectrum leasing systems lack real-time awareness, then system complexity is reduced, but interference management and quality control deteriorate
Solution Approach 1:
The system performs preliminary actions by proactively monitoring spectrum conditions and predicting potential interference issues before they occur. By maintaining real-time awareness of spectrum usage and anticipating conflicts, the system can pre-emptively adjust allocations to prevent interference, improving reliability without requiring overly complex reactive management systems.
4Productivity
If dynamic spectrum allocation with real-time sensing is implemented, then spectrum utilization efficiency improves, but system complexity and measurement requirements worsen
Solution Approach 1:
The patent segments the spectrum monitoring and allocation function into distributed components, where individual sensors and local controllers handle specific frequency bands or geographic areas. This modular approach enables dynamic spectrum allocation with real-time sensing capabilities while managing overall system complexity through distributed intelligence rather than centralized processing of all spectrum data.
Data Source
AI summary
Systems, methods and devices for allocating spectrum within a radio frequency system are provided. A spectrum optimization server receives from a lease management server information associated with a request for leasing radio frequency spectrum to a first lessee. The request can include a first indicator of quality. The spectrum optimization server can identify a first allocation of spectrum for the first lessee based on the first indicator of desired quality and a predicted quality of the first allocation of spectrum. The spectrum optimization server can transmit an indicator that the first lessee is granted access to the first allocation of spectrum. The spectrum optimization server can receive from a first spectrum sensing device information associated with at least one measure quality characteristic of the first allocation of spectrum. The spectrum optimization server can transmit to the lease management server an indication of measured quality of the first allocation of spectrum.