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نتیجه جستجو - بی سیم نسل بعدی

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Big Data Analytics, Machine Learning and Artificial Intelligence in Next-Generation Wireless Networks
تحلیل داده های بزرگ، یادگیری ماشین و هوش مصنوعی در شبکه های بی سیم نسل بعدی-2018
The next-generation wireless networks are evolving into very complex systems because of the very diversified service requirements, heterogeneity in applications, devices, and networks. The network operators need to make the best use of the available resources, for example, power, spectrum, as well as infrastructures. Traditional networking approaches, i.e., reactive, centrally-managed, one-size-fits-all approaches and conventional data analysis tools that have limited capability (space and time) are not competent anymore and cannot satisfy and serve that future complex networks regarding operation and optimization cost-effectively. A novel paradigm of proactive, self-aware, selfadaptive and predictive networking is much needed. The network operators have access to large amounts of data, especially from the network and the subscribers. Systematic exploitation of the big data dramatically helps in making the system smart, intelligent, and facilitates efficient as well as cost-effective operation and optimization. We envision data-driven next-generation wireless networks, where the network operators employ advanced data analytics, machine learning and artificial intelligence. We discuss the data sources and strong drivers for the adoption of the data analytics, and the role of machine learning, artificial intelligence in making the system intelligent regarding being self-aware, selfadaptive, proactive and prescriptive. A set of network design and optimization schemes are presented concerning data analytics. The paper concludes with a discussion of challenges and benefits of adopting big data analytics, machine learning, and artificial intelligence in the next-generation communication systems.
Index Terms: Big data analytics, Machine learning, Artificial intelligence, Next-generation wireless.
مقاله انگلیسی
2 Big Data Analytics for User-Activity Analysis and User-Anomaly Detection in Mobile Wireless Network
تجزیه و تحلیل داده بزرگ برای تجزیه و تحلیل کاربری فعالیت و تشخیص ناهنجاری کاربر در شبکه های بی سیم سیار-2017
The next generation wireless networks are expected to operate in fully automated fashion to meet the burgeoning capacity demand and to serve users with superior quality of experience. Mobile wireless networks can leverage spatiotemporal information about user and network condition to embed the system with end-to-end visibility and intelligence. Big data analytics has emerged as a promising approach to unearth meaningful insights and to build artificially intelligent models with assistance of machine learning tools. Utilizing aforementioned tools and techniques, this paper contributes in two ways. First, we utilize mobile network data (big data) – call detail record (CDR) – to analyze anomalous behavior of mobile wireless network. For anomaly detection purposes, we use unsupervised clustering techniques namely k-means clustering and hierarchical clustering. We compare the detected anomalies with ground truth information to verify their correctness. From the comparative analysis, we observe that when the network experiences abruptly high (unusual) traffic demand at any location and time, it identifies that as anomaly. This helps in identifying regions of interest (RoI) in the network for special action such as resource allocation, fault avoidance solution etc. Second, we train a neural-network based prediction model with anomalous and anomaly-free data to highlight the effect of anomalies in data while training/building intelligent models. In this phase, we transform our anomalous data to anomaly-free and we observe that the error in prediction while training the model with anomaly-free data has largely decreased as compared to the case when the model was trained with anomalous data.
Index Terms: Next generation wireless networks | 5G | Anomaly detection | call detail record | machine learning | network analytics | network behavior analysis | wireless cellular network
مقاله انگلیسی
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