Analysis and design of adaptive MAC layer for machine to machine communication over next generation wireless networks

Narrowband Internet of Things (NB-IoT) proves superiority to the other IoT networks from many different aspects. Where, it became as a complement part of the fifth-generation (5G) networks specifications. However, the increasing future demand for IoT applications requires that resource utilization be optimized to serve the maximum possible number of NB-IoT (User Equipment) UEs. Additionally, the relation between the NB-IoT spectral efficiency and the type of IoT traffic is not studied enough. Therefore, the achievement of traffic management over NB-IoT for efficient spectrum utilization is currently a new area for IoT 5G networks. In this dissertation, we introduced a holistic vision that achieved two main goals. First, we improved the NB-IoT spectral efficiency to serve the increasing number of NB-IoT UEs. Second, we alleviated the burden of two issues; the signaling during each transmission request for periodic and aperiodic traffic such as Smart-Meters (SM) and emergency alarms and the queuing burden for periodic traffic. Additionally, this dissertation addresses the modeling issue of the NB-IoT from modeling ease, model scalability, and the impact of other upper layers of its protocol architecture