Energy Efficient QoS Provisioning and Resource Allocation for Machine Type Communication

The new generations of mobile telecommunications (5G and 6G) are expected to support high quality communication with low delay (few milliseconds) and extreme reliability (> 99.99 %). In this thesis, we discuss different methods to reduce energy consumption and improve the quality of communication for internet of things (IoT) in 5G and 6G. This would aim at reducing health risks of electromagnetic radiation, and extend battery life of IoT devices. In order to achieve this, we develop energy efficient communication schemes that exploit the properties of IoT short packet transmission. Moreover, we invent efficient traffic prediction algorithms, which allow for pre-emptive resource allocation for IoT devices to achieve lower communication latency. The impact of this research is the contribution to a green, high quality, low latency IoT and extending the battery life of IoT devices.