CELLULAR NETWORK RESOURCE DISTRIBUTION METHODS
FOR THE JOINT SERVICING OF REAL TIME MULTISERVICE
TRAFFIC AND GROUPED IOT TRAFFIC
DOI: 10.36724/2072-8735-2020-14-10-61-69
Umer Mukhtar Andrabi, Moscow Institute of Physics and Technology (State University),
Moscow, Russia, umer.andrabi@phystech.edu
Sergey N. Stepanov, MTUCI, Moscow, Russia, stpnvsrg@gmail.com
Juvent Ndayikunda, MTUCI, Moscow, Russia, juvndayi@mail.ru
Margarita G. Kanishcheva, MTUCI, Moscow, Russia, juvndayi@mail.ru
Abstract
Immense growth in the volumes and multiplicity of data to be collected in future Internet of Things (IoT) applications is one of the crucial challenges for the networking organizations as they develop from 4G+ to true 5G systems. Particularly bulk of this traffic includes complex, unstructured and varied data (Big Data) evolve from smart networking ecosystems (LTE-devices, NB-IoT devices). Although 5G offers many low power wide area technologies (Lora WAN, GSM and NB-IoT etc.), principally NB-IoT seems very promising addressing the problem because of its certain characteristics like high fault tolerance, delay tolerance, higher coverage area etc. However, due to the limited bandwidth (180 kHz) availability one of the challenges is how to efficiently use these resources to support and handle massive number of growing IoT devices, also resource management and allocation methodology between LTE and NB-IoT traffic flows. In this context, several key issues for IoT communications in 5G networks should be addressed to satisfy quality of service (QoS) provisioning. In this paper, we proposed a mathematical model for Operator Surveillance systems for sharing radio resources between LTE and NB-IoT. The model utilizes the technique of network slicing for resource management. The proposed techniques provide scenarios that aims to offer a trade-off between the two types of traffics by guaranteeing the network performance and avoiding unproductive utilization of available resources.
Keywords: Narrowband Internet of Things (NB-IoT), Long Term Evolution (LTE), Radio Resource Management (RRM), IoT, LTE Radio Frame Structure, Network Slicing
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Information about authors:
Umer Mukhtar Andrabi, PhD student, Moscow Institute of Physics and Technology (State University), the chair of infocommunication networks and systems, Moscow, Russia
Sergey N. Stepanov, professor, doctor of science, MTUCI, head of the chair of communication networks and commutation systems, Moscow, Russia
Juvent Ndayikunda, PhD student, MTUCI, the chair of communication networks and commutation systems, Moscow, Russia
Margarita G. Kanishcheva, Master degree student, MTUCI, the chair of communication networks and commutation systems, Moscow, Russia