Parallel multi-layer cognitive network optimization
US9122993B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2013 |
| Grant date | Sep 1, 2015 |
| Priority date | — |
| Expiry date | Nov 26, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/043
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
System (300) and methods (400, 600) for providing a Cognitive Network (“CN”). The methods involve: partially solving Multi-Objective Optimization Algorithms (“MOOAs”) for Protocol Stack Layers (“PSLs”) using initialization parameters generated based on project requirements (572); and monitoring the convergence behaviors of MOOAs (584) to identify when solutions (106) thereof start to converge toward Pareto-Optimal solutions (104). In response to said identification, a convergence of a solution trajectory for at least one MOOA is “biased” so that compatible non-dominated solutions are generated at PSLs. A Pareto Front (100) for each PSL is determined by generating remaining solutions for MOOAs. The Pareto Fronts are analyzed in aggregate to develop Best Overall Network Solutions (“BONSs”). BONSs are ranked according to a pre-defined criteria. A Top Ranked Solution (“TRS”) is identified for BONSs that complies with current regulatory/project policies. Configuration parameters are computed for PSL protocols that enable implementation of TRS within CN.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.