ZTE Communications ›› 2017, Vol. 15 ›› Issue (4): 47-66.DOI: 10.3969/j.issn.1673-5188.2017.04.007
• • 上一篇
收稿日期:
2017-07-14
出版日期:
2017-10-25
发布日期:
2019-12-02
ZHANG Xian, PENG Mugen
Received:
2017-07-14
Online:
2017-10-25
Published:
2019-12-02
About author:
ZHANG Xian (zhangxian_email@163.com) received the B.E. degree in telecommunications engineering from Chongqing University of Posts and Telecommunications, China in 2016. He is currently pursuing Ph.D. with Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), China. His research interests include resources allocation and optimization for fog computing based radio access networks (F-RANs) and software-defined radio access networks.|PENG Mugen (pmg@bupt.edu.cn) received the Ph.D. degree in communication and information systems from Beijing University of Posts and Telecommunications (BUPT), China, in 2005. Afterward, he joined BUPT, where he has been a full professor with the School of Information and Communication Engineering since 2012. His main research interests focus on cooperative communications, self-organization networking, heterogeneous networking, cloud communication, and the Internet of Things. He has authored/coauthored over 70 refereed IEEE journal papers and over 200 conference proceeding papers. He was a recipient of the 2014 IEEE ComSoc AP Outstanding Young Researcher Award, and the best paper award in JCN, IEEE WCNC 2015, WASA 2015, GameNets 2014, IEEE CIT 2014, ICCTA 2011, IC-BNMT 2010, and IET CCWMC 2009. He is on the Editorial/Associate Editorial Board of IEEE Communications Magazine, IEEE Access, IEEE Internet of Things Journal, IET Communications, and China Communications. He is the Fellow of IET.
. [J]. ZTE Communications, 2017, 15(4): 47-66.
ZHANG Xian, PENG Mugen. Virtualization Technology in Cloud Computing Based Radio Access Networks: A Primer[J]. ZTE Communications, 2017, 15(4): 47-66.
Figure 4. An example of cache virtualization framework. The physical content (cache) is sliced into virtual contents that can be shared among different services dynamically and the slicing can be time multiplexing or space multiplexing [29].
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