INVESTIGATION OF CELLULAR NETWORK RESOURCE DIVISION PROCEDURES FOR THE JOINT SERVICING OF REAL-TIME MULTISERVICE TRAFFIC AND ELASTIC IOT TRAFFIC

Mukhtar Andrabi Umer, Central University of Kashmir, Srinagar, Jammu and Kashmir, India, umer.andrabi@phystech.edu
Sergey N. Stepanov, Moscow Technical University of Communications and Informatics, Moscow, Russia, stpnvsrg@gmail.com

DOI: 10.36724/2664-066X-2020-6-1-7-10

SYNCHROINFO JOURNAL. Volume 6, Number 1 (2020). P. 7-10.

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 propose two scheduling schemes for sharing radio resources between LTE and NB-IoT. 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: matched filter, Reed-Solomon code, incoherent reception, demodulator, bit error probability, unintentional interference, code speed, signal-to-noise ratio, channel transfer coefficient, code energy gain.

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