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The IEEE Communications Society History committee organized a special panel at IEEE GLOBECOM 2022 to celebrate the 70th anniversary of ComSoc. The panel featured well known individuals in communications technology as speakers who recognized communications leaders who had been instrumental in advancing communications and also ComSoc, but who had died in 2022. Looking at their lives and careers made communications technology come alive.
The central topic of the course is the study of architectures and protocols to enable virtualization in future communication networks, with a specific focus on mobile networks (5G and beyond). Softwarization and virtualization are considered vital in the next generation of communication networks, as seen in the current framework of 5G as standardization moves from New Radio to the infrastructure and management aspects. This course presents a holistic understanding of such technologies, and it proposes both theoretical as well as practical concepts. An extensive hands-on component is included in this course, where participants will learn how to use the discussed technologies.
The technical issues addressed by the course will include:
Introductory session: Presenting the reasoning on the need for computing in communication networks, this introduction will provide a picture of the evolution of networks up to present day. Instructors will discuss 5G basics, requirements, evolution from 4G and current standardization status and beyond. The hands-on practice environment and its concepts will be also introduced during this part of the course. Key theoretical concepts: The first part of this session will address Software Defined Networking (SDN) and will describe conceptual issues and design opportunities deriving from the detachment of the control plane from the data plane, network programmability, and existing solutions in the SDN eco-system (mainly OpenFlow, but with an overview of ONOS and P4). Next the instructors will cover Network Function Virtualization (NFV), discussing conceptual issues and design opportunities deriving from the abstraction of network functionalities from dedicated hardware, performance issues, and existing solutions for NFV (docker, OpenStack). Hands-on sessions on SDN and NFV: This portion of the course will provide participants with an opportunity to review the concepts presented earlier in the course in a practical environment. Concepts and hands-on on advanced network services: The instructors will discuss Mobile Edge Cloud, Network Coding, as well as Machine Learning and Compressed Sensing applications. Pre-defined examples in the distributed Virtual Machine will be used to illustrate the practical implementation of such concepts and enable the participants to “play” with such technologies themselves. Advanced topics will be reviewed at the end of the course, allowing time for a question and answer session with the participants. The course is the first of its kind that tries to build up a holistic understanding of the technologies supporting the development of the next generation of communication networks (e.g. 5G), and proposes both theoretical as well as practical concepts – including extensive hands-on where the attendees will learn how to use the presented technologies.
In fact, besides the theoretical subjects above, the course will also address the issues about actual deployment and implementation of such concepts, by introducing to the participants the proper open-source software tools to use for experimentation. Details regarding the software to download and install will be shared with participants in advance of the course, so that they will are ready to participate in real-time during the hands-on experience. Practical sessions will be explored step-by-step by the instructors as well as in supplemental materials.
The course is based on a book written by the instructors on “Computing in Communication Networks,” which was recently published by Elsevier in May 2020. The virtual machine referenced in the course can be accessed at https://git.comnets.net/public-repo/comnetsemu
6G and beyond systems will continue to rely heavily on ubiquitous wireless connectivity. Different than the generations that came before, next generation systems will need to cater to applications that demand more than just faster rates. The increasingly capable wireless edge consisting of multifunctional devices will aid in the paradigm shift where networked communication occurs to realize, support or improve a functionality other than (or in addition to) reliably communicating digital messages. Catalyzed by the AI revolution, the next wireless revolution thus promises to bring to life integrated designs fueled by the edge. This talk will delve into the new paradigm of connecting with purpose, where the wireless edge devices communicate (collectively) to support a goal such as designing a learning model, realizing a learning system, computing, and sensing. The talk will provide a summary of our recent contributions in this paradigm in several directions. The talk will demonstrate, with relevant theory and applications to use cases, the design of semantic networks and task-oriented communications, joint communication and sensing systems, and wireless edge networks that improve distributed AI. We will conclude with future directions.
With the rise of the Agentic-AI and Embodiment-AI, the state-of-the-art of AI has four powerful capabilities: (1) infinity-long token generative-AI (2) infinity-step of logic-reasoning (3) direct natural-language-to-X (4) novel Agent-native language. These unprecedent intelligent capabilities open a new opportunity for novel communications paradigm, instead of transmission of bits, we focus on two types of communications objects, the AI Model and Tokens, their traffic properties and security/privacy aspect of such two types communications. We present new architecture for AI communications, with respect to AI device, access network, core network and the AI computing-cluster cloud. We also raise the research topic for further study: (1) the token capacity of a model (2) the Turing-complete AI-Agent machine, (3) the language of Agent-Automata.
Immersive communication has been identified as one of the new usage scenario of IMT-2030 (6G). As we move toward a hyper-connected future, the demand for highly interactive and immersive experiences that blur the lines between the physical and virtual worlds is rapidly increasing. To realize these experiences, a profound synergy between network capabilities and media technologies is essential. This keynote explores how advanced network architectures and media processing techniques can be co-designed to meet the stringent requirements of immersive services, and thus to enable vertical applications across various sector. We will discuss the evolution of network technologies towards 6G, and also delve into media technology advancements that optimize content generation and delivery over 6G, with highlighting the need for standardized frameworks and collaboration between academia and industry stakeholders.
Today, the Information and Communications Technology (ICT) industry consumes about 5% of the world’s energy resources. Yet, with the explosion in channel bandwidths, network densification/buildout, and power-hungry Artificial Intelligence (AI) and Machine Learning (ML) applications for 5G and tomorrow’s 6G wireless networks, our industry will soon consume about 1/5 of the planet’s energy resources. This keynote demonstrates the evolution of energy consumption across the globe, and illustrates how the industrial and information revolutions have caused different parts of the globe to manage their energy production and resources in highly localized, disparate manners. Remarkably, however, all wireless deployments tend to follow similar energy demand patterns, and our industry has created standards for energy efficiency (EE) to allow operators and manufacturers to deploy and provision networks for sustainability. This talk illustrates the difficulty and complexity of trying to quantify the energy consumption of a mobile radio network, and reveals how all of the existing energy efficiency (EE) standards have significant flaws in capturing true energy efficiency. These flaws have likely slowed the adoption and utilization of 5G while clouding the understanding of power consumption in networks today. Fortunately, a new theory, called the Waste Factor theory, lays bare all of the energy consumption aspects of any communication or computer network, and offers the ability for the ICT industry to accurately design, compare, and optimize energy efficiency in any multi-user network that has a source and a sink (or sinks) of information. This talk demonstrates how Waste Factor was inspired by the popular Noise Factor theory developed at Bell Labs 80 years ago, and shows how to use the Waste Factor theory for determining energy consumption in a real world radio access network (RAN) or even a data center. The talk concludes by comparing Waste Factor with the global standards being used today in the ICT industry, highlighting the generality and utility of the Waste Factor to quantify and expose energy consumption sources that are currently being missed in today’s standards, allowing better network provisioning, optimization and substantially more energy efficient designs which are vital for our industry and planet.
As the countdown to the 6G era accelerates, it’s time to take a closer look at the likely path of this new generation that, since 2018, has received the broadest and the longest period of global explorative R&D attention in history. What distinguishes the evolutionary revolution towards 6G from previous generations? Is it really about digital twins for everything or metaverse for all? Will 6G and beyond be defined following traditional closed-loop design patterns of standardization-test-deployment in which standardization plays the key, and almost the only role? We believe this may not be the case. The evolution of 5G towards 6G is a continuation of the true ICDT convergence in the Information era. It’s a result of a "perfect storm" formed by multiple new tenets integrated together, from AI and big data to softwarization, open source movements, and so on. In this keynote, we will explore these key drivers. We will also re-think the potential role changes of SDOs and correspondingly, that of open source software and open reference design hardware in the new era. We will also shed some light on two fundamental pillars: sustainability and security, which have been recognized as among the most crucial needs of our industry and gained unprecedented attention in the 6G design space, as they should. By examining these trends and their implications for the industry, we may gain a deeper understanding of the future of telecommunications and be better focused on the opportunities and challenges that lie ahead.
Over the past 40 years we have witnessed a phenomenal success of wireless networks from 1G to 5G. Starting on serving mobile telephony, then the mobile Internet, we can now control the motion of real and virtual objects (Tactile Internet). So far, we have thrived on a moderate 10-year interval between generations, relying on networks to keep our bits and bytes safe. However, despite experiencing a multi-year slowdown in innovation due to COVID-19, there is now mounting pressure to accelerate generational change towards 6G. The challenge lies in how operators can invest in the rollout of 6G while facing increasing difficulties in generating sufficient profits for future advancements. And, we have major challenges ahead: how to drastically cut the operational expenditures (OPEX), revisit the coverage challenge, adding needed new features, and last not least focusing on the trustworthiness of our networks. The talk will address technical challenges and amazing opportunities ahead, but also should wakeup the responsibility within every one of us to create a path for a great wireless future. Or are we possibly pushing the needle to a breakpoint?
The advent of 6G technology promises to bridge the gap between the present and the future, addressing the needs that will arise between 2030 and 2040. Unlike its predecessor, 5G, which was conceived nearly a decade ago, 6G aims to transcend mere communication enhancements. While 5G has made revolutionary breakthroughs in communications KPIs such as capacity, data rates, low latency, mobility, coverage, and connection density, 6G will grapple with challenges beyond traditional communication paradigms. It must accommodate system resiliency, integrated sensing, pervasive intelligence everywhere, and sustainability/efficiency.
In this talk, we categorize foundational 6G technologies into two distinct groups: enablers for new emerging services and enablers for cost/energy efficient systems. In the first group of enablers of new services, we will discuss AI native systems, sensing and digital twin, ambient IOT, and new core networks. In the second group of technologies for efficiency, we will dive deeper into network sharing, Subband full-duplex, Giga-MIMO for upper mid-band, energy efficiency, and 5G to 6G migration technologies. We conclude by showcasing recent Qualcomm explorations in critical areas of 6G wireless technologies.
Over the coming years societies and businesses will go through major transformations such as electrification, green revolution, and efficiency through automation. High performance networks in an open architecture with open interfaces and open APIs are the foundation for digitalization and change. This keynote will explore the profound implications of 6G for industry digitalization, focusing on how 6G can nurture a dynamic and responsive ecosystem attracting application developers and enterprises.
Our vision for 6G is built on the desire to create a cyber-physical continuum where the digital and physical worlds as we know them today have merged, enabled by highly dynamic and performant networks. 6G will make it possible to move freely in the cyber-physical continuum, between the connected physical world of senses, actions and experiences, and its programmable digital representation. We will delve into example enablers and implications of this vision, such as increased demands on trustworthiness, pervasive AI, availability of good spectrum, network integrated compute, and how to enable limitless connectivity for all type of applications.
We realize that our 6G vision will not fully materialize over one day, but instead we will see an evolution from more basic first deployments of 6G around 2030. Standardization with requirements setting is already starting now in 2024. We will discuss key architectural foundations that need to be settled for the initial phase of 6G, while also stressing the need for research toward further 6G technology evolution and advancing ecosystems.
ITU has approved “Framework and overall objectives of the future development of IMT for 2030 and beyond” in World Radio Conference 2023 (WRC-23). At time same time, cmWave has been identified as one of the new candidate spectrums for International Mobile Telecommunications (IMT). These are two important milestones toward 6G research and development.
cmWave spectrum will be a key enabler to bring 6G vision into reality. Massive MIMO has been extensively deployed in 5G and will be further evolved for 5G-A. With the knowledge and experience learned in 5G, it is envisioned that ultra-massive MIMO technology will be the key technology to bring multi-fold capacity and spectrum efficiency gain to support immersive communication. With the large antenna array size and wide bandwidth, integrated sensing and communication in cmWave band will offer new exciting services.
In this talk, we will present the opportunities, challenges and enabling technologies to utilize cmWave spectrum, including simulation and test results.
The next generation of wireless networks, 6G, will need significant automation and AI capabilities embedded into timescales from milliseconds to hours, days and weeks. This level of ambition for AI-nativeness is a result of increased complexity of the networks, and the availability of more and meaningful data, augmented by advances in Machine Learning (ML) algorithms that has strong inference and decision-making capabilities. On the other hand, 2023 was the year of Generative AI, marking a fundamental change in how AI is perceived and used by the public. In this irreversible societal revolution, we have a journey to go from predictive analytics and intelligent control algorithms that allow turning the knobs and optimizing system parameters, towards more capable AI that understand the inherent complexities of the network better than humans do. To this end, reinforcement learning, deep reinforcement learning, transfer learning and many other ML algorithms have shown great success in optimizing network functions, besides being instrumental in providing insights for network operations. In this talk, we will provide an overview of the state-of-art machine learning algorithms used in 5G networks and 6G research. We will look into the challenges and the open issues in the journey towards AI-nativeness in 6G. Finally, we will touch the tip of the iceberg-of-opportunities when Generative AI meets the telecom world.
The contemporary digital landscape hinges profoundly upon the telecommunications industry, serving as the bedrock that facilitates adaptation and expansion to meet evolving consumer demands and business prerequisites. This evolution is giving rise to a realm of intricate, high-demand, and ultra-low-latency applications, spanning from the realms of smart cities and autonomous driving to Industrial IoT and remote surgery.
Amidst this dynamic and ever-evolving landscape, the concept of Telco Digital Twins emerges as a transformative force, endowing us with novel predictive capabilities aimed at optimizing and enhancing telecommunications networks and services. In this presentation, we will elucidate the workings of Telco Digital Twins, which create virtual software replicas of networks, empowering operators to swiftly and efficiently manage future network behaviors and disruptions.
In this talk we will explore how these digital twins play a pivotal role in propelling the evolution of next-generation network design, reliability, and performance. They stand as indispensable tools, adept at pre-emptively identifying network anomalies before they manifest, while also adeptly emulating the intricate traffic patterns and behaviors characteristic of complex 5G, Open RAN, or the much-anticipated 6G networks.
6G has been envisioned to redefine our wireless communication landscape with its focus on native intelligence. It aspires to deliver personalized services, adaptive networks, and seamless resource sharing. The realization of this vision for 6G can be significantly facilitated through the incorporation of semantic cognition, understanding, and reasoning capabilities. Traditionally, the evolution of wireless communication, from 1G to 5G, centered on optimizing signal transmission from sender to receiver. However, a new paradigm has emerged in the form of cognitive semantic communication, garnering considerable attention from both industry and academia. This transformative approach goes beyond conventional methods by infusing cognitive abilities into semantic communication systems. Cognitive Semantic Communication systems offer numerous advantages, including enhanced reliability, robustness, efficiency, and interpretability. These benefits are realized through the incorporation of external knowledge. Semantic encoders facilitate semantic cognition and understanding, aided by external knowledge. At the receiving end, semantic decoders employ external knowledge for semantic reasoning and adaptive correction. Moreover, semantic cognitive technologies, such as knowledge graphs and large language models, are seamlessly integrated into the encoder and decoder. Furthermore, semantic information theory paves the way to analyze and validate cognitive semantic communication. This keynote will walk through underlying theories and technologies driving the advancement of cognitive semantic communication within the 6G landscape and also highlight ongoing industry and academic efforts in this field. Furthermore, the challenges to realize the potential of cognitive semantic communication in 6G will be discussed.
This panel commemorates the IEEE Eric E. Sumner Award given to Stephen Weinstein, Len Cimini and Geoffrey Yi Li, for fundamental contributions to frequency domain communications including orthogonal frequency division multiplexing (OFDM). It brings together a diverse set of highly knowledgeable speakers to engage in a discussion with the audience about the lessons learned from the development of OFDM and how to extend them to the design of the 6G. OFDM is one of those unique ideas that we have been building as a community for a very long time and became a practical reality when the mass market applications coincided with the availability of efficient software and electronics, being today fully used in a large amount of communication standards.
Integrated AI, Sensing and Communications are two key usage scenarios that distinguish 6G from previous generations of connectivity-centric wireless systems. These new usage scenarios enable 6G to go beyond communication. The recently completed ITU-R 6G framework has endorsed this vision, demonstrating the industry’s consensus towards this direction. There are many different interpretations of integrated AI and communication, including Native AI, AI for communication, AI for Network, Communication for AI, Network for AI, etc. With the rise of Generative AI or Large Model Based AI, this topic is becoming even more intriguing. In this talk, we will try to discuss the key essence of this new beyond communication capability of 6G, focusing on the benefits, challenges, technologies and roadmap to enable them from a standard perspective. We will present some recent experimental results to demonstrate the feasibility of these concepts.
Reconfigurable intelligent surfaces (RIS) are currently a topic of great interest in the wireless communication community, and are proposed as a new paradigm for the sixth generation (6G) of communications networks. The same concept is also under development for multi-user sound communications in reverberating environment as acoustic reconfigurable intelligent surfaces (ARIS), However, when dealing with audible acoustic waves, the problem is more complex that for classical narrowband RIS, as the reconfigurable surface needs to cover a wide range of frequencies spanning several decades. Consequently, each element of the RIS needs to have a complex transient response to optimize its performance across each spectral range. To address this challenge, we have developed feedback metasurfaces where each elementary cell works as a reconfigurable spatio-temporal filter. By appropriately configuring the spatio-temporal filters of the metasurface, one can establish acoustic communication between groups of individuals immersed in a noisy environment, effectively creating a multi-user multiple-input multiple-output (MU-MIMO) acoustic system. This research opens the field of ultrawideband RIS communications systems.
The evolution of generative artificial intelligence (GenAI) constitutes a turning point in reshaping the future of technology in different aspects. Wireless networks in particular, with the blooming of self-evolving networks, represent a rich field for exploiting GenAI and reaping several benefits that can fundamentally change the way how wireless networks are designed and operated nowadays. To be specific, large language models (LLMs), a subfield of GenAI, are envisioned to open up a new era of autonomous wireless networks, in which a multimodal large model trained over various Telecom data, can be fine-tuned to perform several downstream tasks, eliminating the need for dedicated AI models for each task and paving the way for the realization of artificial general intelligence (AGI)-empowered wireless networks. In this talk, we aim to unfold the opportunities that can be reaped from integrating LLMs into the Telecom domain. In particular, we aim to put a forward-looking vision on a new realm of possibilities and applications of LLMs in future wireless networks, defining directions for designing, training, testing, and deploying Telecom LLMs, and reveal insights on the associated theoretical and practical challenges.