I received my B.Sc in Computer Science, Electronic And Communication Engineering, and M.Sc. in Communication Engineering at the University of Parma in 2018 and 2020, respectively. Under the supervision of Prof. Alessandro Ugolini and Prof. Giulio Colavolpe, I presented my Master Thesis titled "Constellation Design for Non-linear Channels", focusing on the performances of some constellation design for modulation, in particular the spiral constellation.
From Febraury 2021 to August 2021, I received a Research Fellow Scholarship from National Inter-University Consortium for Telecommunications (CNIT) for the topic "Design of Multicarrier Modulation Formats for 5G Systems".
Under the supervision of Prof. Gerhard Kramer, I am currently conducting research on 6G Wireless Communication models, in particular using Intelligent Reflecting Surfaces (IRS), and Information Theory.
An overview on Cell-Free Massive MIMO wireless communication
Description
In the last decade, cell-free massive MIMO [1] has emerged as one of the most promising technology for wireless communications. Many studies have been made to understand the advantages and the applications of these system design, especially recently for 6G communications [2]-[3]. There are many different possible applications for this technology, i.e. for Federated Learning [4], and different configurations has been investigated [5]. The goal of this seminar is to understand the concept of cell-free massive MIMO in wireless communiations and to give an overview explaining the pros and the cons, applying it also to communication scenarios.
[1] Nayebi, Elina, et al. "Cell-free massive MIMO systems." 2015 49th Asilomar Conference on Signals, Systems and Computers. IEEE, 2015.
[3] He, Hengtao, et al. "Cell-free massive MIMO for 6G wireless communication networks." Journal of Communications and Information Networks 6.4 (2021): 321-335.
[4] Vu, Tung Thanh, et al. "Cell-free massive MIMO for wireless federated learning." IEEE Transactions on Wireless Communications 19.10 (2020): 6377-6392.
[5] Björnson, Emil, and Luca Sanguinetti. "Scalable cell-free massive MIMO systems." IEEE Transactions on Communications 68.7 (2020): 4247-4261.
Intelligent reflecting surfaces (IRS) have been considered a novel technology for 6G wireless communications. They allow to have a reliable transmission in scenarios where the LOS communication is not available (e.g, in case of blockage) [1]. They also allow to perform Integrated sensing and communication [2].
A very important scenario in which the IRS can be useful is the Multi-user one, where a BS is communicating with multiple UEs. In this case the IRS can be used in order to perform channel estimation or to improve the communication quality by increasing the Beamforming quality [3-4-5].
The task of the student is to make a literature review based on this case scenarios, in order to give an overview on the pros and cons of those technologies. The student can focus either on the channel estimation side or the beamforming one.
[1] He, Jiguang, et al. "Adaptive beamforming design for mmWave RIS-aided joint localization and communication." 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW). IEEE, 2020.
[2] Muhr, F., Zaniboni, L., Dehkordi, S. K., Pedraza, F., & Caire, G. (2023, May). Beam Alignment with an Intelligent Reflecting Surface for Integrated Sensing and Communication. In 2023 IEEE International Conference on Communications Workshops (ICC Workshops) (pp. 679-684). IEEE. [3] Wei, Li, et al. "Channel estimation for RIS-empowered multi-user MISO wireless communications." IEEE Transactions on Communications 69.6 (2021): 4144-4157. [4] Verde, Francesco, Donatella Darsena, and Vincenzo Galdi. "Rapidly time-varying reconfigurable intelligent surfaces for downlink multiuser transmissions." IEEE Transactions on Communications (2024). [5] Rafieifar, Anahid, et al. "Secure beamforming in multi-user multi-IRS millimeter wave systems." IEEE Transactions on Wireless Communications (2023).
