Miretti, Lorenzo - Dr. Communication systems
Date: - Location: Eurecom
Abstract: We introduce modern signal processing methods to solve many common optimization problems in distributed "cell-free" massive MIMO systems, some of them considered open until very recently. In more detail, current theoretical and algorithmic solutions for optimal resource allocation and beamforming design in centralized MIMO systems have been developed under specific assumptions that are seemingly difficult to generalize to distributed systems. For example, classical frameworks do not cover optimal beamforming design in distributed massive MIMO systems subject to limited information exchange at the network side, which is particularly relevant if practical fronthaul impairments, such as delay and capacity constraints, must be taken into account. Furthermore, they cannot cope with different time scales for beamforming and power control, an approach that has attracted significant attention in the literature. For these reasons, many recent studies devoted to the analysis of modern centralized and distributed architectures and their respective tradeoffs are largely empirical in nature. Against this background, as we explain in this talk, by combining fixed point theory of subhomogeneous order-preserving mappings with team-decision theory, we now have a unified framework to solve many of the above-mentioned problems with simple algorithms that are provably optimal and convergent. In some cases, we are even able to derive analytical solutions to problems that are often addressed with heuristics or with complex iterative methods. Bio: Dr. Lorenzo Miretti received the B.Sc. and M.Sc. degrees in Telecommunication Engineering from Politecnico di Torino in 2015 and 2018, respectively, and the Ph.D. degree in wireless communications from EURECOM and Sorbonne Universite in 2021. He is currently a post-doctoral researcher with the Technical University of Berlin and the Fraunhofer Heinrich Hertz Institute. He investigates novel solutions for next generation wireless networks, such as cell-free massive MIMO and sub-THz mobile access networks.
