MmWave communication has garnered attention over the last decade due to its potential to provide large bandwidth capable of meeting the requirements of 5G and 6G cellular systems, ranging from achieving gigabits-per-second transmission rates to accommodating millions more connected devices. However, one major challenge that has been identified at an early stage is the high path loss, which has been the focus of extensive research efforts. Despite concerted efforts that led to the standardization of the mmWave bands, practical implementation did not yet witness much success. This is primarily attributed to two key factors related to device mobility. Firstly, there is a lack of universal and efficient solutions for beam tracking of mobile users to combat path loss, especially considering device rotations and non-line-of-sight environments, without incurring large overheads. Existing research predominantly relies on ray tracing models and simplified ray models, which often exhibit discrepancies with real-world measurements. Second, the high path loss is one fundamental issue among others that are of utmost importance, including phase noise and rapid channel variations. While phase noise arises from imperfect hardware and channel variations stem from short wavelengths, differing in nature, both result in phase and amplitude alterations of the received data symbol. Channel equalization, a resource-intensive process, can consume more than a third of the allocated radio resources, as confirmed by recent 3GPP standards. Moreover, the phase noise introduces an additional 6dB loss each time an x2 frequency multiplier is employed, necessitating additional overhead and processing for phase tracking.

Aligned with industry opinion regarding mmWave technology, the academic pioneers of mmWave have recently begun to echo industry perspectives, recognizing mmWave’s primary use is in backhauling between stationary access nodes. Our team has embarked on a journey to prove the feasibility of mmWave communications for mobile devices. In this seminar, we will delve into the fundamental challenges associated with mmWave and present our recent results, solutions, and aspirations, supported by real-world experiments. Specifically, we will discuss our approaches for beam tracking, channel equalization, and phase noise mitigation across various scenarios, including non-line-of-sight, indoor propagation environments, and highly mobile devices. Toward the end of the seminar, we will discuss our contributions to contiguous fields and highlight our results

 About Mohaned Chraiti

Dr. Mohaned Chraiti joined the Electronics Engineering department of Sabanci University as an Assistant Professor in July 2022. He received a Ph.D. degree in Electrical and Computer Engineering from Concordia University in 2020. He was a Postdoctoral Researcher with the Laboratory of Information and Decision Systems at the Massachusetts Institute of Technology (MIT) for two years (2020-2022). He was a Visiting Researcher at Nokia Bell Labs, Crawford Hills, New Jersey in 2018, and at Texas A&M University in 2016 and 2019.   In recognition of his outstanding research achievements, he received multiple awards: the prestigious Governor General’s Gold (the most prestigious scholar award in Canada); Valedictorian title of the School of Engineering and Concordia University; the Natural Sciences and Engineering Research Council of Canada Postdoctoral (NSERC) Grant; the Fonds de Recherche du Québec Nature-Technologies (FRQNT) Postdoctoral Grant; the Marie Skłodowska-Curie Actions (MSCA) fellowship; the FRQNT doctoral scholarship. He has played a pivotal role in securing and managing numerous research grants, totaling half a million dollars as a Principal Investigator (PI), and exceeding a million dollars without holding the PI title. His primary research focus revolves around wireless communications, with a particular emphasis on tackling foundational challenges within the realm of 6G New Radio. Presently, he leads two projects with a combined funding of 350 thousand euros.

This event will be conducted in English