Antti Tölli (M'08, SM'14) is a Professor with the Centre for Wireless Communications (CWC), University of Oulu. He received the Dr.Sc. (Tech.) degree in electrical engineering from the University of Oulu, Oulu, Finland, in 2008. From 1998 to 2003, he worked at Nokia Networks as a Research Engineer and Project Manager both in Finland and Spain. In May 2014, he was granted a five year (2014-2019) Academy Research Fellow post by the Academy of Finland. During the academic year 2015-2016, he visited at EURECOM, Sophia Antipolis, France, while from August 2018 till June 2019 he was visiting at the University of California Santa Barbara, USA. He has authored numerous papers in peer-reviewed international journals and conferences and several patents all in the area of signal processing and wireless communications. His research interests include radio resource management and transceiver design for broadband wireless communications with a special emphasis on distributed interference management in heterogeneous wireless networks. From 2017 to 2021 he served as an Associate Editor for IEEE Transactions on Signal Processing.


Current and past projects


"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 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.


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


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


"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.


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