Dynamic Virtual Resource Allocation in Virtualized multi-RAT Cellular Networks

The legacy wireless systems are designed to exploit static configuration and deployment, and cannot handle the discrepancies of the spatio-temporal traffic demand. Cloud RAN (C-RAN) is a novel flexible radio technology that utilizes the virtualization concepts and can efficiently address the static...

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Bibliographic Details
Published in:Wireless personal communications 2017-11, Vol.97 (2), p.1677-1692
Main Authors: Rakovic, Valentin, Ichkov, Aleksandar, Marinova, Simona, Todorovski, Davor, Atanasovski, Vladimir, Gavrilovska, Liljana
Format: Article
Language:English
Subjects:
Algorithms
Cellular communication
Communications Engineering
Computer Communication Networks
Engineering
Low cost
Networks
Resource allocation
Signal,Image and Speech Processing
Virtual networks
Wireless networks
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Summary:The legacy wireless systems are designed to exploit static configuration and deployment, and cannot handle the discrepancies of the spatio-temporal traffic demand. Cloud RAN (C-RAN) is a novel flexible radio technology that utilizes the virtualization concepts and can efficiently address the static deployment of conventional wireless systems. The C-RAN also leverages high radio network flexibility by introducing the network function virtualization approach to wireless networks. This paper presents a novel C-RAN platform that virtualizes and operates with full GSM and LTE systems. The presented platform is solely based on open-source and off the shelf solutions, providing easy implementation, low cost and high scalability. The paper also introduces a novel dynamic resource allocation algorithm that facilitates the C-RAN’s optimal performance in dynamic scenarios. The proposed algorithm is analyzed and validated on the presented C-RAN platform. The results of the performance analysis clearly show the advantages of the proposed dynamic resource allocation algorithm. Moreover, they prove the applicability of the C-RAN platform for variety of different scenarios.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-017-4568-6