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Abstract: Artificial Intelligence (AI) has been growing rapidly as being used in many applications. It is a great tool that can be used to reach the right decision for emerging applications. With this, it brings many challenges, such as energy fairness, security and efficiency. With the Internet of Things (IoT) transforming our society by connecting the world, anytime and anywhere, AI can be a great tool to achieve ultimate objectives. However, the use of AI in ubiquitous connections brings with it many challenges that range from providing efficient security to ubiquitous networks, for instance. On the other hand, adversarial AI can slow the adoption of these systems and in turn block such advances. These smart services rely on computation and communication resources. Furthermore, being able to provide adequate services using these complex systems present enormous challenges. In this talk, we review the current efforts in using AI to mitigate some of these challenges. Then, we discuss applications on how to alert researchers from taking care of adversarial AI. We showcase our research activities that will contribute to these efforts and advocate possible solutions using AI models. We provide ways on how to manage the available resources intelligently and efficiently to offer better living conditions and provide better services. Finally, we discuss some of our research results to support a variety of applications in smart environments.
Abstract: This keynote talk will first provide a brief introduction of VisionX sitting at the intersection of machine learning and communication in terms of enablers and mathematical tools, while contrasting it with current efforts in the area. Then, recent results in semantics-native communication and learning communication protocols from data will be presented.
Abstract: A rapid increase in the use of wireless services over the last few decades has led to the problem of radio-frequency (RF) spectrum exhaustion. More specifically, due to this RF spectrum scarcity, additional RF bandwidth allocation, as utilized in the recent past over "traditional bands", is not anymore enough to fulfill the demand for more wireless applications and higher data rates. The talk goes first over the potential offered by extreme band communication (XB-Com) systems to relieve spectrum scarcity. Indeed, mm-wave, THz, and free space optics broadband wireless systems recently attracted several research interests worldwide due to the progress in electronics and photonics technologies. By utilizing these extreme frequency bands and employing extreme large bandwidths, the 6G target data rates over 100 Gbps could be achieved. The talk then summarizes (i) some of the challenges that need to be surpassed before such kinds of systems can be deployed and (ii) some of on-going activities in this area in order to achieve this goal.
Abstract: Multi-antenna communication technology can, in theory, provide great bit rates between a transmitter and receiver through spatial multiplexing; that is, sending different spatial layers over different propagation paths. Unfortunately, traditional systems operate in the far field where there is often, at most, one strong propagation path. This might change in 6G. By increasing the carrier frequency, adding more antennas, and densifying the network infrastructure, we will enter a paradigm where communications mostly happen in the radiative near-field. In this keynote, we will revisit the fundamentals of multiple-input multiple-output (MIMO) communications and explore the new features that arise when operating in the near field. The relation between spatial modes, spherical wavefronts, and array geometries will be described and illustrated. Is massive spatial multiplexing the next untapped signal dimension that can sustain the capacity growth in future networks?