KEYNOTE SPEAKERS FOR AWCA 2022
The conferences and exhibition of articles will be held in Auditorium 1 of the "Edificio de Aulas y Relación con el Medio Externo" (EARME), located at Toledo Avenue N23-55 and Madrid. To participate virtually via Zoom, with your registration, you will receive the respective link in a subsequent email.
Keynote Speech 1
Title: Wi-Fi 7: Objectives, Standardization, New Technologies, and Research
Wednesday, June 22 from 09:45 to 10:45
Speaker: Dr. Boris Bellalta
Abstract:
As hordes of data-hungry devices challenge its current capabilities, Wi-Fi strikes again with 802.11be, alias Wi-Fi 7. This brand-new amendment promises a (r)evolution of unlicensed wireless connectivity as we know it, unlocking access to gigabit, reliable and low-latency communications, and reinventing manufacturing and social interaction through digital augmentation. More than that, time-sensitive networking protocols are being put forth with the overarching goal of making wireless the new wired. With its standardization process being consolidated, this talk will provide an updated digest of 802.11be essential features, along presenting some of our latest research results.
Biography:
Boris Bellalta (EE, 2002; PhD, 2007) is a Full Professor at the Department of Information and Communication Technologies (DTIC) at Universitat Pompeu Fabra (UPF) since 2021. His research interests are in the area of adaptive systems and wireless networks. The results from his research have been published in more than 125 international journal and conference papers, including top journals/conferences. He has received several best-paper awards. He is currently involved in several research projects as principal investigator in the area of wireless networks, adaptive systems and machine learning. He has supervised 10 PhD students, with 5 more on-going. At UPF he is giving several courses on networking, queueing theory, wireless networks and machine learning. He was the coordinator of the interuniversity (UPF and Universitat Politècnica de Catalunya) Master’s Programme in Wireless Communications (2013-2018). He is currently Deputy director of the DTIC, in charge of Research, Innovation/Technology Transfer and coordinator of the PhD program.
Keynote Speech 2
Title: Towards 6G: The challenges of the upper layers
Thursday, June 23rd from 09:00 to 10:00
Speaker: Dr. Ilker Demirkol
Abstract:
Although the theoretical performance of mobile network links improves with each generation (e.g., maximum transfer rate, minimum delay), in practice, this theoretical performance is rarely achieved. The culprit is, in many cases, the upper layers of communication between the base station and the mobile. In this talk, we will identify some of the problems that originate in the upper layers (MAC, RLC, PDCP, etc.), we will see the impact of these problems on the overall performance, and we will offer concrete solutions, quantitatively analyze the improvements that these solutions provide.
Biography:
Dr. Ilker Demirkol, IEEE Senior Member, is an Associate Professor in the Department of Mining, Industrial and ICT Systems Engineering at the Universitat Politècnica de Catalunya, Barcelona, Spain, where his research currently has the focus on network algorithmics, Internet of Things and mobile networks. He received the BSc., MSc., and PhD. degrees in computer engineering from the Bogazici University, Istanbul, Turkey. Over the years, he has worked in a number of research laboratories and industrial corporations in Europe and the USA. He has coauthored more than 75 ACM/IEEE journal and conference papers, including the recipients of the Best Paper Award in IEEE ICC’13 and the Best Demo Award in IEEE MASS 2019. He is currently a member of the IEEE COMMAG Editorial Board and has been actively participating in IEEE conferences, e.g., as IEEE INFOCOM 2019 FlexNets Workshop TPC Chair, IEEE WCNC 2018 FlexNets Workshop Chair, IEEE CCNC’17-GCCN TPC Chair, and IEEE CCNC’15 Demo Chair.
Conference 1
Title: Machine Learning for Wireless Networks
Wednesday, June 22 from 14:00 to 15:00
Speaker: Dr. Manuel Morocho
Abstract:
Taking into account the ever-increasing complexity of mobile and wireless networks, and the emergence of novel use cases such as autonomous cars, industrial automation, virtual reality, e-health, and several intelligent applications, machine learning (ML) is expected to be essential to assist in making the 5G vision conceivable. In this talk, we will focus on the potential solutions for 5G from an ML-perspective. We will start establishing the fundamental concepts of supervised, unsupervised, and reinforcement learning, taking a look at what has been done so far in the adoption of ML in the context of mobile and wireless communication. We’ll then discuss the promising approaches for how ML can contribute to supporting each target 5G network requirement, emphasizing its specific use cases and evaluating the impact and limitations they have on the operation of the network. Lastly, we’ll address the potential features of Beyond 5G (B5G), providing future research directions for how ML can contribute to realizing B5G.
Biography:
I received the B.S. degree in electronic engineering from Universidad Politécnica Salesiana, Cuenca, Ecuador, in 2012; the M.Sc. degree in communications engineering and networks from The University of Birmingham, England, United Kingdom, in 2016; and the Ph.D. in electronic engineering (artificial intelligence for wireless networks) at Kumoh National Institute of Technology, Gyeongsangbuk-do, Republic of Korea, in 2020.
From 2017 to 2020, I was a Research Assistant with KIT Future Communications and Systems Laboratory in Gumi-si, Republic of Korea. I've also worked as a Research Fellow at Escuela Superior Politécnica del Litoral in Guayaquil, Ecuador. Currently, I'm a full-time lecturer at Yachay Tech University, where I have been serving as the Coordinator of Research for the School of Mathematical and Computational Sciences, the advisor of the IEEE Computer Society Yachay Tech, and the Director of DeepARC Research.
Currently, I am interested in exploring artificial intelligence as a computational tool to optimize engineering processes such as predictive analysis, robotics, mobile and wireless networks, computer vision, autonomous driving, and cryptography.
Conference 2
Title: Massive MIMO for 5G/6G and beyond
Thursday, June 23rd from 14:00 to 15:00
Speaker: MSc. Andrea Guevara
Abstract:
This talk presents an overview of massive MIMO for 5G, and its vision for 6G and beyond. With a particular focus on antenna configurations, interference suppression, user allocation techniques and the envision of massive MIMO in the ORAN architecture.
Biography:
Andrea P. Guevara obtained her BSc in Electronics and Telecommunications at the University of Cuenca, Ecuador in 2013. In 2015 she got her MSc in Telecommunications by Research, and she was awarded the prize for the best academic performance in the same program by King’s College London, U.K. In 2016 she was a full-time teacher at the University of Cuenca in Antenna Theory, Introduction to the IoT, Physics, Electricity and Magnetism. She is currently pursuing a PhD degree with KU Leuven. Her main interests are massive MIMO, infrastructure sharing, spectrum sharing and interference suppression.