Paper Info
Title
Random Access and Resource Allocation in Software-Defined Cellular Networks with M2M Communications.
Abstract
Machine-to-machine (M2M) communications have attracted great attention from both academia and industry. In this paper, with recent advances in wireless network virtualization and software-defined networking (SDN), we propose a novel framework for M2M communications in software-defined cellular networks with wireless network virtualization. In the proposed framework, according to different functions and quality of service (QoS) requirements of machine-type communication devices (MTCDs), a hypervisor enables the virtualization of the physical M2M network, which is abstracted and sliced into multiple virtual M2M networks. Moreover, we formulate a decision-theoretic approach to optimize the random access process of M2M communications. In addition, we develop a feedback and control loop to dynamically adjust the number of resource blocks (RBs) that are used in the random access phase in a virtual M2M network by the SDN controller. Extensive simulation results with different system parameters are presented to show the performance of the proposed scheme.
Year
Venue
Keywords
2016
IEEE Global Communications Conference
Machine-to-machine (M2M) communications,random access,resource allocation,wireless network virtualization,software-defined networking (SDN)
Field
DocType
ISSN
Virtualization,Wireless network,Computer science,Quality of service,Computer network,Hypervisor,Real-time computing,Full virtualization,Resource allocation,Cellular network,Distributed computing,Random access
Conference
2334-0983
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Meng Li1366.94
Fei Yu25116335.58
Pengbo Si318625.23
Enchang Sun4218.33
Yanhua Zhang514524.84