Autonomous, closed-loop and adaptive simulated annealing based machine learning approach for intelligent analytics-assisted self-organizing-networks (SONs)
US10327159B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 5, 2016 |
| Grant date | Jun 18, 2019 |
| Priority date | — |
| Expiry date | Aug 10, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Convergence times associated with simulated annealing based (SA-based) optimization in wireless networks can be reduced by introducing an additional local or cell-level evaluation step into the evaluation of global solutions. In particular, new local solutions may be evaluated based on local performance criteria when the new solutions are in a global solution deemed to have satisfied a global performance criteria. New local solutions that satisfy their corresponding local performance criteria remain in the new global solution. New local solutions that do not satisfy their corresponding local performance criteria are replaced with a corresponding current local solution from a current global solution, thereby modifying the new global solution. The resulting modified global solution includes both new local solutions and current local solutions prior to being accepted as the current global solution for the next iteration.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.