Biography

Antti Tölli (M’08–SM’14) is a Professor with the Centre for Wireless Communications (CWC), University of Oulu, Finland. He received the D.Sc. (Tech.) degree in Electrical Engineering from the University of Oulu in 2008. From 1998 to 2003, he worked at Nokia Networks as a Research Engineer and Project Manager in both Finland and Spain. In 2014, he was awarded a five-year Academy Research Fellow position by the Research Council of Finland. During 2015–2016, he was a Visiting Researcher at EURECOM, Sophia Antipolis, France, and from August 2018 to June 2019, he was a Visiting Scholar at the University of California, Santa Barbara, USA. He has contributed extensively to the field of wireless communications through numerous publications in leading international journals, conference records, and book chapters, and he also holds several patents. His research focuses on signal processing for wireless networks, communication, and information theory. From 2017 to 2019, he served as an Associate Editor for the IEEE Transactions on Signal Processing and is currently serving as an Editor for the IEEE Transactions on Wireless Communications.

Projects

Current and past projects

CAMAIDE

"Cache-aided mmWave Access for Immersive Digital Environments" funded by Academy of Finland, 1.9.2021 - 31.8.2025. Multipoint coded caching tailored for immersive experience.

5G-STARA

"5G standards research on mm-wave access" funded by Nokia, 3/2019 - 12/2021. New physical layer concepts targeted for 3GPP Rel’17-18 NR standard are investigated.

3D-WIDE

"Directional Data Delivery for Wireless Immersive Digital Environments" post-doctoral researcher funding by Finnish Research Impact Foundation (Dr. MohammadJavad Salehi), 1/2021 - 12/2022.

DELIGHT

"Device-Centric Low-Complexity High-Frequency Networks" H2020-MCSA-IF-2019 funding by EU (Dr. Italo Atzeni), 7/2020 - 6/2022.

CCCWEE

"Coded Collaborative Caching for Wireless Energy Efficiency" funded by Academy of Finland, 1.9.2018 - 31.8.2022. Coded caching to increase the overall energy efficiency of networks.

Courses

Wireless Communications II

Capacity of wireless channels, multiuser communications, adaptive modulation and coding, equalization, point-to-point MIMO communications and space-time coding.

Convex Optimization

The course introduces frameworks and systematic guidelines to handle mathematical optimization problems. The students will be able to recognize the role of convex optimization in various engineering applications including signal processing, wireless communications, networking, and machine learning.

Multi-Antenna Communications

Point-to-point MIMO communications, multiuser multiple antenna communications in uplink and downlink, opportunistic communications, massive MIMO, beamforming for mmWave, scheduling and interference management, coordinated multi-cell transmission.

Team Members

MohammadJavad Salehi

Postdoctoral Researcher

Italo Atzeni

Senior Research Fellow

Antti Arvola

PhD Candidate

Bikshapathi Gouda

PhD Candidate

Dileep Kumar

PhD Candidate

Praneeth Jayasinghe

PhD Candidate