Resource Allocation for Machine-Type Communication. From massive connectivity to ultra-reliable low-latency.

Thesis event information

Date and time of the thesis defence

Place of the thesis defence

University of Oulu: https://oulu.zoom.us/j/210308386

Topic of the dissertation

Resource Allocation for Machine-Type Communication. From massive connectivity to ultra-reliable low-latency.

Doctoral candidate

Master of Electrical Engineering Onel Luis Alcaraz López

Faculty and unit

University of Oulu Graduate School, Faculty of Information Technology and Electrical Engineering, Centre for Wireless Communications - Radio Technologies (CWC-RT)

Subject of study

Communications Engineering

Opponent

Professor Eduard A. Jorswieck, Technische Universität Braunschweig, Germany

Custos

Assistant Professor Hirley Alves, University of Oulu

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Wirelessly powered IoT transforming digitalised society

Machine-type wireless communication is a key component of wireless connectivity for the internet of things (IoT) enabling key functions in our increasingly digitalised society from smart cities and homes, transportation and logistics, to agriculture and factories, to name a few.

This thesis proposes novel solutions for robust radio resource management, extreme reliability and low latency, non-orthogonal multiple access, and data aggregation. One of the key results is the use of massive wireless energy transfer (WET) for wireless powering of a large number of battery-constrained devices. Conventional WET solutions demand cumbersome resource management especially as the network densifies, which in turn leads to wastage of resources.

The novel solutions introduced in this thesis alleviate such immense overhead even for extremely dense networks and benefit from a distributed architecture. Furthermore, the outcomes of this thesis will inspire novel ideas and will influence the development and implementation of new strategies for coping with the increasingly growing quality of service demands of future wireless networks.
Last updated: 8.4.2020