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
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.
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: 1.3.2023