5G radio resource management approach for multi-traffic IoT communications

Abstract

Nowadays, Internet of Things (IoT) communications have significant impact on our social life due to the exponential growth of many objects and devices creating a fully interconnected world. To bear this growth explosion of IoT communication traffics and to support the diversity of IoT applications and services, 5G network will be the suitable solution with a needed enhancements to reach emerging features such as Human-to-Human (H–H) and machine-to-machine (M–M) communications. In this context, several key issues for IoT communications in 5G networks should be addressed to satisfy quality of service (QoS) provisioning. Radio Resource Management or scheduling is an important key issue for IoT communications in 5G network. In this paper, we propose two schedulers for IoT communications based on QoS requirements. The proposed schemes give best scenarios that aim to provide a trade-off between the two types of traffics by guaranteeing the network performance and avoiding ineffective exploitation of available resources. The simulation results prove that the proposed schedulers operate efficiently in terms of maximizing the bandwidth utilisation rate which is the important challenge of the 5G radio resource management.