Data-Cognition-Empowered Intelligent Wireless Networks: Data, Utilities, Cognition Brain, and Architecture

Wenjun Xu, Yue Xu, Chia-Han Lee, Zhiyong Feng, Ping Zhang, Jiaru Lin

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

With the proliferation of heterogeneous wireless networks, classical information-theoretical methods can no longer provide accurate mathematical models to analyze the complicated network performance for the regulation and optimization of networks. The emerging landscape of big data and machine learning has provided a new paradigm for the design and optimization of intelligent wireless networks. In this article, a general architecture for data-cognition-empowered intelligent wireless networks is proposed. Characteristics of wireless data, the frequently used utilities for data cognition, and data cognition methods are discussed to depict the building blocks and challenges in the exploration of the architecture for data-cognition-empowered intelligent wireless networks.

Original languageEnglish
Pages (from-to)56-63
Number of pages8
JournalIEEE Wireless Communications
Volume25
Issue number1
DOIs
StatePublished - 1 Feb 2018

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