- 专利标题: Autonomous, closed-loop and adaptive simulated annealing based machine learning approach for intelligent analytics-assisted self-organizing-networks (SONs)
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申请号: US14988359申请日: 2016-01-05
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公开(公告)号: US10327159B2公开(公告)日: 2019-06-18
- 发明人: Yongxi Tan , Jin Yang , Nandu Gopalakrishnan , Yan Xin , James Mathew , Kamalaharan Dushyanthan , Iyad Alfalujah , Yanjie Fu
- 申请人: Futurewei Technologies, Inc.
- 申请人地址: US TX Plano
- 专利权人: Futurewei Technologies, Inc.
- 当前专利权人: Futurewei Technologies, Inc.
- 当前专利权人地址: US TX Plano
- 代理机构: Slater Matsil, LLP
- 主分类号: G06N20/00
- IPC分类号: G06N20/00 ; H04W24/02
摘要:
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.
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