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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Big Data Analytics, Machine Learning and Artificial Intelligence in Next-Generation Wireless Networks
ترجمه فارسی عنوان مقاله:
تحلیل داده های بزرگ، یادگیری ماشین و هوش مصنوعی در شبکه های بی سیم نسل بعدی
منبع:
IEEE - This article has been accepted for publication in a future issue of this journal, but has not been fully edited: Content may change prior to final publication: Citation information: DOI 10:1109/ACCESS:2018:2837692, IEEE Access
نویسنده:
Mirza Golam Kibria,Kien Nguyen, Gabriel Porto Villardi,Ou Zhao, Kentaro Ishizu and Fumihide Kojima
چکیده انگلیسی:
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.
قیمت: رایگان
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