T8: Machine Learning for Resource Allocation in 6G Wireless Networks

Co-organizer: Hina Tabassum, York University, Canada
Co-organizer: Aryan Kaushik, Manchester Met, UK

Abstract: Faster decision-making becomes imminent in future wireless networks as they are anticipated to be more complex, heterogeneous, and experience rapid channel variations due to higher transmission frequencies, massive antenna deployments with pencil-like beams, and ultra-dense access points. In this context, machine learning (ML) techniques are gaining prominence as they offer robust, fast, and scalable wireless solutions. This tutorial will cover the fundamentals of advanced machine learning techniques and then discuss their applications in 6G wireless resource management. Specifically, the tutorial will first cover the fundamental concepts related to deep learning and generative artificial intelligence including large-language models (LLMs). We then delve into the deep unsupervised learning methods for network resource allocation problems with non-linear and non-convex constraints. The use of deep implicit layers and differentiable projection methods to enable zero constraint violation will be discussed with applications to beamforming, phase-shift optimization, and power allocation problems. We will present an overview of fundamentals of popular Generative AI models, including LLMs, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), transformers, and diffusion models and explain how these models contribute to proactive network resource allocation. The tutorial will then focus on case-studies demonstrating the applications of reinforcement learning in vehicular networks and non-terrestrial networks (NTN) and conclude by pointing out the existing research gaps and highlight potential research directions.

Co-organizer’s Bios:

Hina Tabassum

Prof. Hina Tabassum received the Ph.D. degree from the King Abdullah University of Science and Technology (KAUST). She is currently an Associate Professor with the Lassonde School of
Engineering, York University, Canada, where she joined as an Assistant Professor, in 2018. She is also appointed as a Visiting Faculty at University of Toronto in 2024 and the York Research Chair of
5G/6G-enabled mobility and sensing applications in 2023, for five years. Prior to that, she was a postdoctoral research associate at University of Manitoba, Canada. She has been selected as IEEE ComSoc Distinguished Lecturer (2025-2026). She is listed in the Stanford’s list of the World’s Top Two-Percent Researchers in 2021-2024. She received the Lassonde Innovation Early-Career
Researcher Award in 2023 and the N2Women: Rising Stars in Computer Networking and Communications in 2022. She has been recognized as an Exemplary Editor by the IEEE Communications Letters (2020), IEEE Open Journal of the Communications Society (IEEE OJCOMS) (2023 – 2024), and IEEE Transactions on Green Communications and Networking (2023). She was recognized as an Exemplary Reviewer (Top 2% of all reviewers) by IEEE Transactions on Communications in 2015, 2016, 2017, 2019, and 2020. She is the Founding Chair of the Special Interest Group on THz communications in IEEE Communications Society (ComSoc)-Radio Communications Committee (RCC). She served as an Associate Editor for IEEE Communications Letters (2019–2023), IEEE OJCOMS (2019–2023), and IEEE Transactions on Green Communications and Networking (2020–2023). Currently, she is also serving as an Area Editor for IEEE OJCOMS and an Associate Editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, and IEEE Communications Surveys and Tutorials.

Aryan Kaushik

Prof. Aryan Kaushik is an Associate Professor at Manchester Met, UK, since 2024, and has been an Assistant Professor on senior grade with University of Sussex, UK, from 2021-24. Prior to that, he has been with University College London, UK (2020-21), University of Edinburgh, UK (2015-19), and Hong Kong University of Science and Technology, Hong Kong (2014-15). He has also held visiting appointments at Imperial College London, UK (2019-20), University of Bologna, Italy (2024), University of Luxembourg, Luxembourg (2018), Athena RC, Greece (2021), and Beihang University, China (2017-19, 2022). He has been External PhD Examiner internationally such as at Universidad Carlos III de Madrid, Spain, in 2023. He has been an Invited Panel Member at the UK EPSRC ICT Prioritisation Panel in 2023, and has led several collaborative projects forging industry and academic collaborations on topics of strategic importance. He has been Editor of three books on ISAC (2024 Edition), 6G NTN (2025 Edition) and ESIT (2025 Edition) by Elsevier, and several journals such as IEEE Open Journal of the Communications Society (Best Editor Award 2023), IEEE Communications Letters (Exemplary Editor 2023), IEEE Internet of Things Magazine (including the AI for IoT miniseries), IEEE Communications Technology News (initiated the IEEE ComSoc Podcasts series), and several special issues such as in IEEE Wireless Communications Magazine, IEEE Network Magazine, and many other IEEE venues. He has been an invited/keynote and tutorial speaker for over 75 academic and industry events, and conferences globally such as at IEEE ICC 2024, IEEE GLOBECOM 2023 and 2024, IEEE VTC-Spring 2023 and 2024, IEEE ICMLCN 2024, IEEE WCNC 2023, IEEE MeditCom 2023 and 2024, One6G Summit 2023 and 2024, and many other events worldwide. He has been chairing in Organizing and Technical Program Committees of 10 flagship IEEE conferences such as IEEE ICC 2024 and 2025, IEEE ICMLCN 2024 and 2025, and IEEE WCNC 2023 and 2024, etc. He has been General Chair of over 18 workshops for IEEE ComSoc conferences such as at IEEE ICC 2024, IEEE GLOBECOM 2023 and 24, IEEE WCNC 2023 and 2024, IEEE PIMRC 2022, 2023 and 2024, etc. https://sites.google.com/view/aryankaushik/