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Our Keynote & Tutorial Speakers

09:15AM - 10:15AM

Making Machine Learning Sustainable

Prof. Carla Fabiana Chiasserini
Polytechnic University of Turin, Italy

Abstract: While Machine Learning has become pervasive as an essential component of many network services and user applications, its energy cost is often difficult to cope with. It is thus critical to improve the sustainability of Machine Learning by reducing its resource demand. This talk tackles this issue while focusing on the emerging approach of Distributed Machine Learning. In particular, we will discuss both the benefits and the challenges posed by Distributed Learning, and the solutions to minimize the energy cost of this approach while fulfilling the performance requirements of a learning process, in terms of learning quality and time. The talk will also discuss Machine Learning model compression as a promising solution to energy saving as well as to the need for the reuse of computing resources. By leveraging model compression, it is indeed possible not only to tune the network and computing resources to the learning requirements, but also to tailor a Machine Learning model around the available resources.

10:15AM - 11:15AM

Stratospheric Networks of the Future: It is More than Connectivity

Prof. Halim Yanikomeroglu
Carleton University, Canada

Abstract: In this talk, a forward-looking wireless infrastructure will be presented which includes a new stratospheric access & computing layer composed of HAPS (high altitude platform station) constellations positioned in stratosphere, 20 km above the ground, in addition to the legacy terrestrial layer and the emerging satellite layer. With its bird’s-eye and almost-line-of-sight view of an entire metropolitan area, a HAPS is more than a base station in the air; it is a new architecture paradigm with access, transport, and core network functionalities for integrated connectivity, computing, sensing, positioning, navigation, and surveillance, towards enabling a variety of use-cases in an agile, smart, and sustainable manner for smart cities and societies of the future.

11:30AM - 12:30

Exploring the Union of AI and 6G

Prof. Mérouane Debbah
Technology Innovation Institute, UAE

Abstract: Fueled by the availability of more data and computing power, recent breakthroughs in cloud-based machine learning (ML) have transformed every aspect of our lives from face recognition and medical diagnosis to natural language processing. However, classical ML exerts severe demands in terms of energy, memory and computing resources, limiting their adoption for resource constrained edge devices. The new breed of intelligent devices requires a novel paradigm change calling for distributed, low-latency and reliable ML at the wireless network edge. This talk will explore the potential of the Mobile AI paradigm to unlock the full potential of 5G and beyond.

01:00PM - 02:00PM

Guessing Random Additive Noise Decoding (GRAND) or how to stop worrying about error-correcting code design

Prof. Muriel Médard
Massachusetts Institute of Technology, US

Abstract: To maintain data integrity in the face of network unreliability, systems rely on error-correcting codes. System standardization, such as has been occurring for 5G, is predicated on co-designing these error-correcting codes and, most importantly, their generally complex decoders, into efficient, dedicated and customized chips. In this talk, we show that this assumption is not necessary and is has been leading to significant performance loss. We describe "Guessing Random Additive Noise Decoding," or GRAND, by Duffy, Médard and their research groups, which renders universal, optimal, code-agnostic decoding possible for low to moderate redundancy settings.
Moreover, recent work with Yazicigil and her group has demonstrated that such decoding can be implemented with extremely low latency in silicon. GRAND enables a new exploration of codes, in and of themselves, independently of tailored decoders, over a rich family of code designs, including random ones. Surprisingly, even the simplest code constructions, such as those used merely for error checking, match or markedly outperform state of the art codes when optimally decoded with GRAND. Without the need for highly tailored codes and bespoke decoders, we can envisage using GRAND to avoid the issue of limited and sub-optimal code choices that 5G encountered, and instead have an open platform for coding and decoding.

09:00AM - 10:00AM

Thoughts and Possible Advancements on 4 Thrusts for 6G

Prof. Gerhard Fettweis
Vodafone Chair, Dresden University of Technology, Germany

Abstract: Even though 6G is 8 years away, many seem to try pinning down exact features and specifications already today. This leads to some interesting statements, also made by large corporate players. Just one example is the statement that 6G will require a 10x improvement in spectral efficiency while simultaneously achieving at least a 10x improvement in energy efficiency. No theory has yet been known to show how this could be achievable. In the end, operators will need to earn money providing a new level of services at a cost-level which makes these services affordable for mass market consumers. Therefore, here we rather want to ask the question which thrust of improvement could make sense, and why. And then give some possible ways forward. The 4 thrusts for improvements discussed are: trustworthiness, energy efficiency, cost, and new functionality. If we truly believe that 6G will provide an infrastructure for Tactile Internet remote controlled personal mobile robotic and XR applications, we need lower cost, energy efficient, and trustworthy networks that integrate joint communications & sensing. Can this be realistically achieved without infringing physics or theoretic bounds?

10:00AM - 11:00AM

The Role of Communications as Enablers for Achievement of Sustainable Development Goals

Prof. Francisco Falcone
Universidad Publica de Navarra, ISC-UPNA, TEC Moterrey, Spain

Abstract: In order to cope with global challenges humanity is facing in terms of climate change, sustainability and governance, the UN has established the roadmap for years to come on the pillars of the Sustainable Development Goals (SDG). Among the different aspects and specific goals specified within the SDGs, providing resilient and adaptive communication technologies is key towards their achievement. In this presentation, an overview of capabilities and challenges related with communication technologies, with a specific focus on wireless communications will be discussed, with applications related to the scope of implementing context aware environments in Smart Cities and Smart Regions, thus enabling the advancement in several SDGs.

09:00AM - 10:30AM

Data-Driven Mean-Field Game Theory (1/2)

Prof. Hamidou Tembine New York University, UAE/USA.

10:45AM - 12:15PM

Data-Driven Mean-Field Game Theory (2/2)

Prof. Hamidou Tembine New York University, UAE/USA.

Technical Sessions

VANET-Based Traffic Light Management for an Emergency Vehicle

— Adel Izadi (Technical University of Ilmenau, Germany); Ashkan Gholamhosseinian (Technische Universität Ilmenau, Germany); Jochen Seitz (Technische Universitaet Ilmenau, Germany)

Deep Reinforcement Learning to Improve Vehicle-To-Vulnerable Road User Communications

— Andy Triwinarko (Politeknik Negeri Batam, Indonesia); Zoubeir Mlika (University of Sherbrooke, Canada); Soumaya Cherkaoui (Polytechnique Montreal, Canada); Iyad Dayoub (University Polytechnique Hauts-de-France, IEMN-DOAE CNRS, France & INSA Hauts de France, France)

Pervasive Computing for Efficient Intra-UAV Connectivity: Based on Context-Awareness

— Biruk E Tegicho, Tadilo Endeshaw Bogale and Corey Graves (North Carolina A&T State University, USA)

Road Accident Analysis of Dhaka City Using Counter Propagation Network

— Nazmus Sakib (Bangladesh University of Engineering and Technology, Bangladesh); Sohel Bashar (Student, Bangladesh); Ashikur Rahman (University of Alberta, Canada)

Study, Designing and Mathematical Modeling of a Hybrid Fixed-Wing UAV With VTOL Capability

— Adil Sayouti (ENSEM, HASSAN II University, Morocco); Alaa Bensaid (EMI, Mohammed V University, Morocco); Imane Daoudi (ENSEM, HASSAN II University, Morocco); Mostafa Moussid (ENSEM, HASSAN II University, Morocco)

Trading off Controlled System Energy and Wireless Communication Energy

— Yifei Sun (CentraleSupelec, France); Samson E Lasaulce (CRAN (CNRS - University of Lorraine), France); Michel Kieffer (CentraleSupelec, France)

Resource Allocation and Power Control for Heterogeneous Cellular Network and D2D Communications

— Ramiro Agila (Escuela Superior Politecnica del Litoral, Ecuador); Rebeca Estrada (Escuela Superior Politécnica del Litoral, Espol, Guayaquil, Ecuador & Facultad de Ingeniería en Electricidad y Computación, Ecuador); Katty Rohoden (Universidad Técnica Particular de Loja, Ecuador)

Towards Facilitating URLLC in UAV-Enabled MEC Systems for 6G Networks

— Ali Nawaz Ranjha (École de Technologie Supérieure ÉTS, Canada); Diala Naboulsi and Mohamed El-Emary (École de Technologie Supérieure, Canada)

Optimized Network Coding With Real-Time Loss Prediction for Hybrid 5G Networks

— Ramesh Srinivasan (University of California, Santa Cruz, USA); Jj Garcia-Luna-Aceves (University of California at Santa Cruz, USA)

TCP-RTA: Real-Time Topology Adaptiveness for Congestion Control in TCP

— Ramesh Srinivasan (University of California, Santa Cruz, USA); Jj Garcia-Luna-Aceves (University of California at Santa Cruz, USA)

Reinforcement Learning for Protocol Synthesis in Resource-Constrained Wireless Sensor and IoT Networks

— Hrishikesh Dutta, Amit Kumar Bhuyan and Subir Biswas (Michigan State University, USA)

Distributional Reinforcement Learning for VoLTE Closed Loop Power Control in Indoor Small Cells

— Sara Koulali (University Abdelmalek Essaadi, Morocco); Mostapha Derfouf (University Mohammed V, Morocco); Mohammed-Amine Koulali (University Mohammed I & ENSAO, Morocco); Mohammed Barboucha (Research Center High Studies of Engineering School EHEI, Morocco)

Reinforcement Learning Aided Routing in Tactical Wireless Sensor Networks

— Andrews A Okine (École de Technologie Supérieure, Canada); Nadir Adam (Ecole de Technologie Superieure, Canada); Georges Kaddoum (ETS Engineering School, University of Québec, Canada)

DA Green and Scalable Clustering for Massive IoT Sensors with Selective Deactivation

— Amine Faid (ENSEM, University of Hassan II of Casablanca, Morocco); Mohamed Sadik (ENSEM / UH2C, Morocco); Essaid Sabir (University of Quebec at Montreal, Canada)

On the Influence of Microscopic Mobility in Modelling Pedestrian Communication

— Lars Wischhof (Munich University of Applied Sciences & Hochschule Muenchen, Germany); Maximilian Kilian (Munich University of Applied Sciences HM, Germany); Stefan Schuhbaeck and Gerta Köster (Munich University of Applied Sciences, Germany)

Statistical Moments of the Temporal Spectrum of Electromagnetic Waves in the Equatorial Ionosphere

— George V. Jandieri, Academic (International Space Agency, Georgia & Georgian Technical University, Georgia); Akira Ishimaru (University of Washington, USA)

Low Profile CPW Fed Tri-Band Millimeter Wave Antenna Design for Future 5G Application

— Golap Kanti Dey (University of Alberta, Canada); Fariha Binte Rahmat Ali (Chittagong Independent University, Bangladesh); Sarosh Ahmad (Universidad Carlos III de Madrid (UC3M), Spain & Government College University Faisalabad (GCUF), Pakistan); Rashid Mirzavand (University of Alberta, Canada)

Rio_DSA: Redirecting I/O Scheme for Dynamic Storage Allocation on Docker Container

— Jaechun No and Sehoon Kwon (Sejong University, Korea (South)); Sung Soon Park (Anyang University, Korea (South))

A Novel Hybrid Deep Learning Model for Crop Disease Detection Using BEGAN

— Houda Orchi (Hassan II University & ENSEM, Morocco); Mohamed Sadik (ENSEM / UH2C, Morocco); Mohammed Khaldoun (GREENTIC/ENSEM/UH2C Morocco, Morocco)

Threat Mitigation Model With Low False Alarm Rate Based on Hybrid Deep Belief Network

— Avewe Bassene (University Cheikh Anta Diop of Dakar, Senegal); Bamba Gueye (Université Cheikh Anta Diop de Dakar, Senegal)

On Feature Selection Algorithms for Effective Botnet Detection

— Meher Afroz (Bangladesh University of Engineering and Technology & IQVIA, Bangladesh); Muntaka Ibnath (United International University & Bangladesh University of Engineering and Technology, Bangladesh); Ashikur Rahman (University of Alberta, Canada); Jakia Sultana (Bangladesh University of Engineering and Technology, Bangladesh); Raqeebir Rab (Ahsanullah University of Science and Technology, Bangladesh)

Multivariate Skewness and Kurtosis for Detecting Wormhole Attack in VANETs

— Souad Ajjaj (University Hassan II Casablanca, Morocco); Souad El Houssaini (Faculty of Sciences Chouaib Doukkali University, Morocco); Mustapha Hain (University Hassan II & ENSAM, Morocco); Mohammed-Alamine El Houssaini (Chouaib Doukkali University, Morocco)