Adaptive Radio Resource Management Scheme in 5G networks support for IoT Applications

The perception of Next Generation Wireless Networks (NGWNs) is based on the coexistence and the interoperability of different types of Radio Access Technologies (RATs) such as LTE-advanced, C-IoT (Cellular Internet of Thing), Narrowband-IoT (NB-IoT) and 5G WiFi in a unified wireless heterogeneous system based on an IP core network infrastructure. Presently, users are attending the networks saturation because of the growing demands for bandwidth to support the high performance requirements of 5G IoT applications. In this context, our paper proposes an adaptive radio resource management (AdapRRM) scheme based on Quality of Service (QoS) requirements of the IoT applications to support the weighty uplink (UL) traffic produced by Machine to Machine (M2M) and Human to Human (H2H) communications. Our aims are to guarantee quality of service (QoS) requirements of all accepted calls by reducing call blocking probability and maximizing the bandwidth utilisation rate. The performance results of the proposed schemes are compared with other competing methods using simulation analysis.