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公开(公告)号:US20180035307A1
公开(公告)日:2018-02-01
申请号:US15223580
申请日:2016-07-29
Inventor: Ajay Mahimkar , Zihui Ge , Nabeel Mir , Sarat Puthenpura , Lili Qiu , Mubashir Adnan Qureshi
CPC classification number: H04W16/18 , H04L41/0816 , H04L41/082 , H04L41/147 , H04L43/08 , H04L43/50
Abstract: An approach for change roll out in wireless networks that utilizes a diverse set of features, such as software/hardware configuration, radio parameters, user population, mobility patterns, network topology and automatically identifies the test locations that would improve the predictability between the performance impacts during testing and network-wide deployment. Through automated and effective analysis of a wide variety of features, the approach for change roll out in wireless networks reflects the impacts observed during testing and predicts the performance of the post-test wide-scale deployment.
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公开(公告)号:US20160014622A1
公开(公告)日:2016-01-14
申请号:US14865594
申请日:2015-09-25
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Ajay Mahimkar , Ioannis Broustis , Zihui Ge , Sarat Puthenpura , Leonid Razoumov , Aman M. Shaikh , Nemmara K. Shankaranarayanan , Jia Wang , Xing Xu , He Yan
CPC classification number: H04W24/02 , H04W16/08 , H04W16/22 , H04W24/04 , H04W52/265 , H04W72/046 , H04W72/0473
Abstract: To efficiently mitigate cell coverage disruptions caused by either unplanned equipment failures or planned outages during maintenance activities, an efficient cell site outage mitigation system is provided to calculate an optimal configuration for neighboring cell site devices before adjusting the cell site configuration settings to cover the coverage gap. The optimal configuration is determined using an offline model learner. Radio frequency propagation models and user demand and distribution models can be used to determine the offline solution. The optimal configuration setting learnt using an offline model is then implemented when an outage is determined to have occurred in the operational field.
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公开(公告)号:US09173106B2
公开(公告)日:2015-10-27
申请号:US14088684
申请日:2013-11-25
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Ajay Mahimkar , Ioannis Broustis , Zihui Ge , Sarat Puthenpura , Leonid Razoumov , Aman M. Shaikh , Nemmara K. Shankaranarayanan , Jia Wang , Xing Xu , He Yan
IPC: G06F11/00 , H04L12/28 , H04M3/00 , G06F15/177 , H04W16/22
CPC classification number: H04W24/02 , H04W16/08 , H04W16/22 , H04W24/04 , H04W52/265 , H04W72/046 , H04W72/0473
Abstract: To efficiently mitigate cell coverage disruptions caused by either unplanned equipment failures or planned outages during maintenance activities, an efficient cell site outage mitigation system is provided to calculate an optimal configuration for neighboring cell site devices before adjusting the cell site configuration settings to cover the coverage gap. The optimal configuration is determined using an offline model learner. Radio frequency propagation models and user demand and distribution models can be used to determine the offline solution. The optimal configuration setting learnt using an offline model is then implemented when an outage is determined to have occurred in the operational field.
Abstract translation: 为了有效地减轻在计划外的设备故障或维护活动期间的计划中断造成的小区覆盖中断,提供了有效的小区站点中断缓解系统,以在调整小区站点配置设置以覆盖覆盖差距之前计算相邻小区站点设备的最佳配置 。 使用离线模型学习者确定最佳配置。 射频传播模型和用户需求分布模型可用于确定离线解决方案。 当确定在操作区域中发生中断时,实现使用离线模型学习的最佳配置设置。
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公开(公告)号:US20150146514A1
公开(公告)日:2015-05-28
申请号:US14088684
申请日:2013-11-25
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Ajay Mahimkar , Ioannis Broustis , Zihui Ge , Sarat Puthenpura , Leonid Razoumov , Aman M. Shaikh , Nemmara K. Shankaranarayanan , Jia Wang , Xing Xu , He Yan
IPC: H04W16/22
CPC classification number: H04W24/02 , H04W16/08 , H04W16/22 , H04W24/04 , H04W52/265 , H04W72/046 , H04W72/0473
Abstract: To efficiently mitigate cell coverage disruptions caused by either unplanned equipment failures or planned outages during maintenance activities, an efficient cell site outage mitigation system is provided to calculate an optimal configuration for neighboring cell site devices before adjusting the cell site configuration settings to cover the coverage gap. The optimal configuration is determined using an offline model learner. Radio frequency propagation models and user demand and distribution models can be used to determine the offline solution. The optimal configuration setting learnt using an offline model is then implemented when an outage is determined to have occurred in the operational field.
Abstract translation: 为了有效地减轻在计划外的设备故障或维护活动期间的计划中断造成的小区覆盖中断,提供了有效的小区站点中断缓解系统,以在调整小区站点配置设置以覆盖覆盖差距之前计算相邻小区站点设备的最佳配置 。 使用离线模型学习者确定最佳配置。 射频传播模型和用户需求分布模型可用于确定离线解决方案。 当确定在操作区域中发生中断时,实现使用离线模型学习的最佳配置设置。
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