DocumentCode
52281
Title
Cloud computing meets mobile wireless communications in next generation cellular networks
Author
Yegui Cai ; Yu, F. ; Shengrong Bu
Author_Institution
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
Volume
28
Issue
6
fYear
2014
fDate
Nov.-Dec. 2014
Firstpage
54
Lastpage
59
Abstract
In next generation cellular networks, cloud computing will have profound impacts on mobile wireless communications. On the one hand, the integration of cloud computing into the mobile environment enables MCC systems. On the other hand, the powerful computing platforms in the cloud for radio access networks lead to a novel concept of C-RAN. In this article we study the topology configuration and rate allocation problem in C-RAN with the objective of optimizing the end-to-end performance of MCC users in next generation cellular networks. We use a decision theoretical approach to tackle the delayed channel state information problem in C-RAN. Simulation results show that the design and operation of future mobile wireless networks can be significantly affected by cloud computing, and the proposed scheme is capable of achieving substantial performance gains over existing schemes.
Keywords
cellular radio; cloud computing; mobile computing; radio access networks; C-RAN; MCC system; cloud computing; delayed channel state information problem; mobile wireless communications; next generation cellular networks; radio access networks; Cellular networks; Cloud computing; Delays; Mobile communication; Mobile computing; Next generation networking; Wireless networks;
fLanguage
English
Journal_Title
Network, IEEE
Publisher
ieee
ISSN
0890-8044
Type
jour
DOI
10.1109/MNET.2014.6963805
Filename
6963805
Link To Document