Communication Network Demand Packing for Shared Route Allocation
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Solution Overview
Problem
Existing communication networks inefficiently use network resources by assigning separate hardware and software resources to multiple demands with the same source and target nodes, leading to wasted capacity and reduced network efficiency.
Innovation Solution
Packing multiple demands with the same source and target nodes into a single route using a heuristic or dynamic programming method, associating each package with a corresponding transceiver type to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate hardware and software resources are assigned to each demand with the same source and target nodes, then each demand can be satisfied independently, but network resources are used inefficiently leading to wasted capacity
Solution Approach 1:
The patent merges multiple demands with the same source and target nodes into a single aggregated demand. Instead of allocating separate transceivers and routes for each individual demand, the system combines them into one package that shares common network resources, thereby reducing resource waste while still satisfying all individual demand requirements
Solution Approach 2:
The patent creates a universal package structure that can accommodate multiple demands with different parameters (bandwidth, latency, priority) using a single transceiver allocation. This multi-functional approach allows one transceiver to serve multiple demands simultaneously, improving resource utilization efficiency
2Reliability
If separate resources are allocated to multiple demands, then each demand receives dedicated capacity, but the overall network capacity to accommodate additional demands is reduced
Solution Approach 1:
By aggregating multiple demands into packages, the system frees up network capacity that would otherwise be wasted on underutilized separate allocations. This merged approach increases the network's ability to accommodate additional demands while maintaining reliable service for existing demands through shared resource pools
3Adaptability or versatility
If multiple transceivers are deployed to handle multiple demands, then demand coverage is improved, but device complexity and resource allocation complexity increase
Solution Approach 1:
The patent segments the resource allocation process into two distinct stages: (1) aggregating multiple demands into packages with shared transceiver requirements, and (2) allocating transceivers at the package level rather than individual demand level. This segmentation simplifies the overall allocation complexity while maintaining comprehensive demand coverage
Solution Approach 2:
The package structure serves as a universal container that groups multiple demands with common transceiver requirements. This universal packaging approach reduces device complexity by providing a standardized method for resource allocation that applies across all demands with the same source and target nodes
Data Source
AI summary
A set of demands on a communication network between a source node and a terminal node can be packed into a set of packages. Each package can be associated with a corresponding transceiver type. The packing of the set of demands into the set of packages can be performed using a heuristic method or a dynamic programming method. The packing of the set of demands can depend on the costs associated with each package. Multiple packings can be generated using different packing conditions. One of the multiple packings can then be selected. The communication network can be configured to satisfy each package using a transceiver of the corresponding transceiver type.