標題: DATA-COGNITION-EMPOWERED INTELLIGENT WIRELESS NETWORKS: DATA, UTILITIES, COGNITION BRAIN, AND ARCHITECTURE
作者: Xu, Wenjun
Xu, Yue
Lee, Chia-Han
Feng, Zhiyong
Zhang, Ping
Lin, Jiaru
交大名義發表
National Chiao Tung University
公開日期: 1-二月-2018
摘要: 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.
URI: http://dx.doi.org/10.1109/MWC.2018.1700200
http://hdl.handle.net/11536/144640
ISSN: 1536-1284
DOI: 10.1109/MWC.2018.1700200
期刊: IEEE WIRELESS COMMUNICATIONS
Volume: 25
起始頁: 56
結束頁: 63
顯示於類別:期刊論文