Random Access and Virtual Resource Allocation in Software-Defined Cellular Networks with Machine-to-Machine Communications
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, a hypervisor enables the virtualization of the physical M2M network, which is abstracted and sliced into multiple virtual M2M networks. In addition, we develop a decision-theoretic approach to optimize the random access process of M2M communications. Furthermore, we develop a feedback and control loop to dynamically adjust the number of resource blocks 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.
|Keywords||Machine-to-machine (M2M) communications, random access (RA), resource allocation, software-defined networking (SDN), wireless network virtualization|
|Journal||IEEE Transactions on Vehicular Technology|
Li, M. (Meng), Yu, F.R, Si, P. (Pengbo), Sun, E. (Enchang), Zhang, Y. (Yanhua), & Yao, H. (Haipeng). (2017). Random Access and Virtual Resource Allocation in Software-Defined Cellular Networks with Machine-to-Machine Communications. IEEE Transactions on Vehicular Technology, 66(7), 6399–6414. doi:10.1109/TVT.2016.2633525