Distributed and Movable Multi-Antenna Techniques for Machine-Type Communications
Thesis event information
Date and time of the thesis defence
Topic of the dissertation
Distributed and Movable Multi-Antenna Techniques for Machine-Type Communications
Doctoral candidate
Communications Engineering Eduardo Noboro Tominaga
Faculty and unit
University of Oulu Graduate School, Faculty of Information Technology and Electrical Engineering, CWC - Radio Technologies
Subject of study
Wireless Communications
Opponent
Professor Emil Björnson, KTH Royal Institute of Technology, Stockholm, Sweden
Custos
Associate Professor Hirley Alves, University of Oulu
Emerging Antenna Technologies for Internet of Things Applications in 6G Networks
Wireless communication technologies like 4G, 5G, and Wi-Fi already allow many devices to connect to the network at the same time by using multiple antennas. But the demands of future networks will be much tougher: higher speeds, lower delays, stronger reliability, and much more devices connected simultaneously. Meeting these demands will require new ways of designing wireless networks, such as using more antennas, spreading antennas across different locations, or combining existing methods with new technologies.
This thesis looks at these new directions, focusing on indoor networks designed for machines rather than people—for example, Internet of Things (IoT) devices that exchange data with the network without any human intervention. The thesis tests different ways of handling large numbers of connected devices at the same time. First, it examines a method that combines two existing techniques (called MIMO and NOMA) to see if this helps boost performance when many devices must share limited radio resources. Then, it explores distributed MIMO networks, where antennas are spread out across an area instead of being concentrated in a single location. The question is: is it better to have a many antennas in one place, or multiple antennas spread around?
The research also investigates innovative technologies, such as antennas that can move or rotate to improve signal coverage.
The results provide insights for researchers exploring future wireless communications networks, as well as for companies that design, build, and deploy them. They highlight promising technologies for making future networks more efficient, reliable, and ready for the massive growth of the number of connected devices.
This thesis looks at these new directions, focusing on indoor networks designed for machines rather than people—for example, Internet of Things (IoT) devices that exchange data with the network without any human intervention. The thesis tests different ways of handling large numbers of connected devices at the same time. First, it examines a method that combines two existing techniques (called MIMO and NOMA) to see if this helps boost performance when many devices must share limited radio resources. Then, it explores distributed MIMO networks, where antennas are spread out across an area instead of being concentrated in a single location. The question is: is it better to have a many antennas in one place, or multiple antennas spread around?
The research also investigates innovative technologies, such as antennas that can move or rotate to improve signal coverage.
The results provide insights for researchers exploring future wireless communications networks, as well as for companies that design, build, and deploy them. They highlight promising technologies for making future networks more efficient, reliable, and ready for the massive growth of the number of connected devices.
Last updated: 10.9.2025