Dynamic Communication Resource Allocation via Risk-Return Characterization
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Solution Overview
Problem
Communication systems face challenges in dynamically allocating communication resources among channels to maximize data throughput and minimize variations in performance, due to interference and cross-talk between channels, which affects overall system efficiency.
Innovation Solution
The implementation of methods and systems that automatically allocate communication resources, such as transmission power and capacity, by determining a risk-return characterization across multiple communication channels, allowing for stochastic optimization of resource allocation to achieve an efficiency frontier, thereby optimizing data throughput and minimizing fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If communication resources are allocated dynamically among multiple channels, then data throughput is maximized, but variations in performance increase due to interference and cross-talk between channels
Solution Approach 1:
The patent implements dynamic resource allocation where communication resources (power, capacity, time slots) are continuously adjusted among multiple channels based on real-time channel conditions, interference levels, and cross-talk measurements. This dynamic adaptation allows the system to maximize throughput while managing performance variations through feedback-driven reconfiguration of resource distribution across channels.
2Productivity
If more communication channels are used to increase system capacity, then overall data transmission increases, but interference and cross-talk between channels worsen
Solution Approach 1:
The patent changes key operating parameters including transmission power levels, modulation schemes, and resource allocation patterns across multiple channels. By dynamically adjusting these parameters based on measured interference and cross-talk levels, the system can accommodate more channels while maintaining acceptable performance through parameter optimization that reduces harmful interactions between channels.
3Productivity
If resource allocation is optimized for maximum throughput, then data transmission efficiency increases, but system complexity increases due to need for continuous monitoring and adjustment
Solution Approach 1:
The patent implements feedback mechanisms where channel performance metrics, interference levels, and cross-talk measurements are continuously monitored and fed back to the resource allocation controller. This feedback loop enables automated optimization of resource distribution across channels, achieving high transmission efficiency while managing complexity through systematic monitoring and adjustment protocols that adapt to changing conditions without requiring manual intervention.
Data Source
AI summary
A method for dynamic allocation of communication resources includes (1) determining a risk-return characterization of a plurality of communication resource allocations across a plurality of communication channels in a communication system, (2) selecting a first allocation of the plurality of communication resource allocations from the risk-return characterization according to at least one predetermined criterion, and (3) automatically allocating communication resources among the plurality of communication channels according to the first allocation.