Staged Topology Selection for Wireless Networks
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Solution Overview
Problem
Fixed topologies in communication networks may not provide the most effective solution for network connectivity, as they do not adapt to changing conditions and can be complex to manage, especially in wireless communication networks where links and node capabilities vary frequently.
Innovation Solution
Implementing staged topologies that consist of a sequence of subsets of communication links, allowing for periodic reconfiguration and simplification by determining beaming capabilities and using matrix techniques to select the most efficient sequence that provides full connectivity, such as through connection matrix multiplication and weighting matrices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed topology is used to provide network connectivity, then network stability is maintained, but network efficiency and adaptability deteriorate due to inability to adjust to changing conditions
Solution Approach 1:
The patent implements staged topologies that allow the network to dynamically transition between different connectivity configurations. Instead of a static fixed topology, the network can reconfigure links and nodes across multiple stages to adapt to changing conditions while maintaining operational stability through structured transition paths.
Solution Approach 2:
The network topology is divided into multiple stages or layers, where each stage represents a different connectivity configuration. This segmentation allows the network to progress through predefined topological transformations, enabling adaptability while maintaining stability through the structured nature of staged transitions.
2Productivity
If comprehensive topology determination is performed to optimize network connectivity, then network efficiency improves, but computational complexity increases
Solution Approach 1:
The topology determination process is divided into multiple stages, where each stage evaluates a specific subset of topological configurations. This segmentation of the computational process reduces the complexity of any single evaluation while achieving comprehensive optimization through the cumulative effect of staged assessments.
Solution Approach 2:
The patent employs dynamic algorithms that adapt the topology evaluation process based on current network conditions. The computational complexity is managed by implementing staged determination methods that progressively refine topology selections, optimizing network efficiency without requiring exhaustive simultaneous analysis of all possible configurations.
3Adaptability or versatility
If frequent topology updates are implemented to maintain optimal performance, then network adaptability improves, but network stability and management complexity worsen
Solution Approach 1:
The patent implements periodic topology updates following structured staged patterns. Rather than continuous or ad-hoc reconfiguration, the network undergoes systematic topology transitions at defined intervals or trigger points, maintaining adaptability while reducing management complexity through predictable, organized update cycles.
Solution Approach 2:
The network topology management system dynamically adjusts the frequency and timing of topology updates based on network conditions and requirements. This dynamic approach allows the system to maintain optimal adaptability while managing complexity by implementing updates only when necessary, using staged transition methods to ensure stability during reconfiguration.
Data Source
AI summary
Methodologies for determining one or more staged topologies for a communication network, communication networks implementing one or more staged topologies, and systems for determining one or more staged topologies for a communication network are provided. In one embodiment, a method of determining a staged topology for a wireless communication network including a plurality of nodes includes identifying a plurality of topologies comprising different subsets of available communication links among the nodes, establishing the beaming capabilities at each node, selecting a subset of the identified topologies meeting the beaming capabilities of each node, associating a connection matrix with each identified topology in the subset of topologies, establishing one or more sequences of topologies using the identified topologies in the subset of topologies, multiplying the connection matrices associated with the topologies in each sequence of topologies to obtain a sequenced connection matrix corresponding with each sequence of topologies, multiplying each sequenced connection matrix by a weighting matrix to obtain a total cost matrix corresponding with each sequence of topologies, and selecting one of the sequences of topologies as the staged topology based on the total cost matrices corresponding with each sequence of topologies.