Energy Efficient QoS Provisioning and Resource Allocation for Machine Type Communication

Thesis event information

Date and time of the thesis defence

Place of the thesis defence

Remote connection: https://oulu.zoom.us/j/69016261611

Topic of the dissertation

Energy Efficient QoS Provisioning and Resource Allocation for Machine Type Communication

Doctoral candidate

Master of Science Mohammad Shehab

Faculty and unit

University of Oulu Graduate School, Faculty of Information Technology and Electrical Engineering, Centre for Wireless Communication

Subject of study

Wireless Communication

Opponent

Professor Olav Tirkkonen, Aalto University

Second opponent

Professor Mustafa Gursoy, Syracuse University

Custos

Assistant Professor Hirley Alves, University of Oulu

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A Study on energy efficiency and resource allocation for high quality IoT

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.
Last updated: 8.12.2021