دانلود مقاله ISI انگلیسی شماره 46042
عنوان فارسی مقاله

داده کاوی برای سیستم های تشخیص فازی در شبکه های LTE

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
46042 2015 11 صفحه PDF سفارش دهید 9330 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Data mining for fuzzy diagnosis systems in LTE networks
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 42, Issue 21, 30 November 2015, Pages 7549–7559

کلمات کلیدی
خود ترمیم شونده - شبکه های خود سازمان ده - LTE - داده کاوی - داده های آموزش محور - یادگیری نظارت شده - مدیریت خطا - سیستم های فازی - اطلاعات بزرگ
پیش نمایش مقاله
پیش نمایش مقاله داده کاوی برای سیستم های تشخیص فازی در شبکه های LTE

چکیده انگلیسی

The recent developments in cellular networks, along with the increase in services, users and the demand of high quality have raised the Operational Expenditure (OPEX). Self-Organizing Networks (SON) are the solution to reduce these costs. Within SON, self-healing is the functionality that aims to automatically solve problems in the radio access network, at the same time reducing the downtime and the impact on the user experience. Self-healing comprises four main functions: fault detection, root cause analysis, fault compensation and recovery. To perform the root cause analysis (also known as diagnosis), Knowledge-Based Systems (KBS) are commonly used, such as fuzzy logic. In this paper, a novel method for extracting the Knowledge Base for a KBS from solved troubleshooting cases is proposed. This method is based on data mining techniques as opposed to the manual techniques currently used. The data mining problem of extracting knowledge out of LTE troubleshooting information can be considered a Big Data problem. Therefore, the proposed method has been designed so it can be easily scaled up to process a large volume of data with relatively low resources, as opposed to other existing algorithms. Tests show the feasibility and good results obtained by the diagnosis system created by the proposed methodology in LTE networks.

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