Cross-Layer Network Optimization for Spectrum-Aware Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current network modeling techniques rely on uniform models that are imprecise due to broad approximations at lower levels of abstraction, leading to inefficiencies in resource allocation and potential service interruptions.
Innovation Solution
The technology employs a cross-layer optimization (XL optimization) technique that models networks at a higher layer of abstraction, such as the packet layer, without using broad approximations for elements at lower layers, allowing for more precise modeling and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform models with broad approximations are used for network modeling, then the model complexity is reduced and easier to operate, but the measurement precision and manufacturing precision of network resource allocation deteriorate significantly
Solution Approach 1:
The patent segments the network model into multiple layers of abstraction (e.g., physical layer, transport layer, packet layer) with each layer representing different levels of detail. This allows the system to maintain simplicity at higher abstraction levels while incorporating precise measurements at lower levels when needed, resolving the contradiction between ease of operation and measurement precision.
Solution Approach 2:
The patent introduces a dimensional approach by modeling networks at multiple levels of abstraction simultaneously. The cross-layer optimization technique adds a new dimension to network modeling by considering interactions between different layers, enabling precise resource allocation decisions while maintaining operational simplicity through hierarchical organization.
2Device complexity
If uniform models with broad approximations are used, then the device complexity is reduced, but the manufacturing precision of resource allocation deteriorates
Solution Approach 1:
The patent divides the network modeling system into segmented layers, where each layer handles specific aspects of network representation. This segmentation allows the system to maintain lower overall complexity while achieving high precision in resource allocation through detailed modeling at specific layers without requiring every component to be equally complex.
Solution Approach 2:
The patent applies local quality by allowing different levels of detail and precision at different layers of the network model. Higher layers maintain simplicity and broad approximations, while lower layers incorporate detailed spectral efficiency calculations and precise resource allocation parameters only where necessary, optimizing the balance between device complexity and manufacturing precision.
3Ease of manufacture
If broad approximations are used at lower levels of abstraction, then the model is simpler and easier to implement, but the reliability of network resource allocation deteriorates
Solution Approach 1:
The patent performs preliminary actions by pre-calculating and storing spectral efficiency values and network capacity parameters at lower levels of abstraction. This allows the higher-level resource allocation models to access precise reliability data without having to perform complex calculations in real-time, maintaining both ease of manufacture and high reliability through pre-computed accurate parameters.
Solution Approach 2:
The patent introduces intermediary components that bridge the gap between simplified high-level models and detailed low-level implementations. These intermediaries translate broad approximations into precise resource allocation decisions by incorporating spectral efficiency calculations and network capacity data, ensuring reliable resource allocation while maintaining model simplicity at the application layer.
Data Source
AI summary
Allocating network resources to one or more signals that are to be conveyed over the network by calculating a transport capacity for a sublink of the network based on a spectral efficiency of at least one subpath included in the sublink, and allocating the sublink to at least one signal based on the calculated transport capacity.