IEEE International Conference on Communications
16–20 May 2022 // Seoul, South Korea // Hybrid: In-Person and Virtual Conference
Intelligent Connectivity for Smart World

WS-2: Special Workshop on 6G: Current Research Trends and Open Challenges

Organizer:

Mehdi Bennis, Associate Professor at Univ. of Oulu, head of ICON, IEEE Fellow.

 

Title: 6G: Current Research Trends and Open Challenges

Since 2019, many 6G events have been organized around the world in order to pen down the next G. This workshop aims at understanding the latest trends and vision. This workshop will include 12 invited speakers from academia and industry whose goal is to discuss the latest trends in terms of research and visions from different wireless actors. The topics covered in the workshop include: edge intelligence, semantic communication, communication and control codesign, intelligent surfaces, among others. The full-day workshop consists of 3 sessions and each session has 4 talks. All the talks are invited talks without article submission.This is an invited Special Workshop that was solicited by the Workshops and General Chairs of IEEE ICC 2022. The main idea of this Special Workshop is to gather expert researchers (from academia an industry) to give presentations on their latest research works in this emerging field of research.

 

Invited speakers (confirmed as of now):

Merouane Debbah (TII, UAE), CSO

Title: From Connected Things to Connected Intelligence

Abstract:  The standardization for 5G wireless systems is maturing and researchers around the world have already started to look at beyond the 5G systems. Although the next G gossip is at a premature stage, this talk aims to provide an overview of the vision, challenges and key enabling technologies envisioned by the wireless community. The talk will mostly focus on the fundamental technologies and will discuss potential research directions to meet the requirements of next generation wireless systems

 

Shilpa Talwar (Intel Labs, USA)

Title: 6G Connectivity in the Era of Distributed Intelligence

Abstract: The confluence of 5G and AI is transforming wireless networks to deliver novel services at the Edge driving towards a vision of pervasive distributed intelligence. 5G has represented a paradigm shift from 1G to 4G, adding machine communications to co-exist along with the human centric communications. As we move into the 6G era, networks will need to deliver quality of experience for diverse services through seamless integration of communication, computation, and AI.  Therefore, 6G networks must become intelligent, distributed, programmable platforms across the continuum of data delivery. In this talk, we present three cross-disciplinary research directions that promise to transform the wireless network into an autonomous compute-communication and learning engine.

 

Seong-Lyun Kim (Yonsei Univ, Korea)

Title: Post-MAC for 6G: A New Horizon for Interference Control and Opportunity Detection

Abstract: The 5G system is currently under its way toward successful deployment, bridging between wireless communications and vertical applications (e.g., city, factory, vehicles, etc). On the other hand, the research community launched 6G pilot projects, wherein white papers are talking about service scenarios in 2030. AI/Machine Learning is to be an important ingredient, known as either “AI for Wireless” or “Wireless for AI.” The talk will give insights on how the next generation media access control (Post-MAC) needs to be shaped in such an AI/ML era. Speed, accuracy, delay, energy-efficiency, and data protection are KPIs in Post-MAC. The talk takes examples from our testbed experience, and will share our principles for the Post-MAC.

 

Karl H. Johansson (KTH Royal Institute of Technology, Sweden)

Title: Event-triggered Control of Networked Systems

Abstract: Motivated by the need for safe control of cyber-physical systems in intelligent transportation and process automation, we will in this talk discuss how an event-triggered control paradigm allows more efficient and flexible use of network resources. When multiple physical systems are coupled over a dynamic network, the limitations and time-sensitivity of the individual physical systems need to be carefully  integrated into a service-layer architecture. We will show that the control-communication co-design tradeoffs can be formulated as optimization problems and that they under certain assumptions allow real-time distributed implementation. The results will be illustrated in experimental evaluations on automated vehicles and wireless automation.

 

Kaniz Mehdi (VMWare, USA), VP

Title: Path to 6G

Abstract: The wireless and cloud industries have gone through a massive transformation over the past ten years, so much so that we can confidently assert that next generation of wireless systems will merely be characterized as distributed modern applications, which will be hypercomposed by stitching together software workloads stretched across a scalable edge to cloud continuum underpinned with heterogenous compute and networking resources managed by disparate providers. These distributed modern applications will be no different than any other workloads running in the cloud except that they will be constrained by strict latency and jitter budgets spanning over a dynamically variable scale. In today’s talk Kaniz will walk you through the journey of wireless from networking monoliths to distributed modern applications, and how VMware is driving innovation throughout the entire edge-to-cloud continuum by innovating in virtualization, multi-cloud grid, time-sensitive fabrics, and distributed applications, to pave a non-traditional path for 6G

 

Alain Mourad (Interdigital UK)

Title: 6G Technology Trends: A Deeper Dive into Reconfigurable Intelligent Surfaces

Abstract: Upon issuing its recommendations for IMT-2020 in early 2021, the ITU-R didn’t wait to kick start an effort on IMT-2030 (a.k.a. 6G) vision and future technology trends with the aim to issue a report by the Summer 2022. All global and regional stakeholders into 6G have been contributing inputs into this activity at ITU-R. While the consolidation of the inputs is taking place, this is clearly emerging a consensus on a number of technology trends including RIS (Reconfigurable Intelligent Surfaces). This talk will review the current state of technology trends as captured into the ITU-R IMT-2030 vision and future technology trends, and present a deep dive into the RIS technology and its state of pre-standards research as captured in the recently launched ETSI RIS Industry Specification Group.

 

Wen Tong (Huawei Wireless, Canada), CTO

Title: 6G Will Revolutionize AI

Abstract: The emerging 6G is a new network upgrade to a native AI capable global platform to make proliferation of AI service and applications a reality. In addition, the machine-learning technology will bring a fundamental change for the wireless communications. In this talk we address three aspects: first the end-to-end machine learning based wireless link, with a true universal transceiver based on deep neural network that learnt all the real-world wireless channels, we also demonstrate how to generalize this scheme into multi-user access case; the second is the new communications framework based on the so-called System-1 construction and the associated attributes to enable the machine-to-machine, human to machine communications at semantic-meaning level, this will make wireless communications network itself an intelligence platform; the third is the deep-learning based data-funnel which is leveraged the information bottleneck theory to ensure the machine learning data security

 

Taesang Yoo (Qualcomm, USA)

Title: Role of AI in the 5G Evolution and 6G

Abstract: 5G has promised to efficiently connect virtually everything around us, and it is continuing to evolve in the new decade to reach its full potential. 5G Advanced (Release 18 and beyond) will bring even better performance and efficiency. To accelerate wireless innovations on the path to 6G, novel machine learning techniques can bring broad benefits to the table, fueling advancements across a wide range of technology areas. In this talk, we will discuss why 5G/6G and AI, the essential ingredients of the connected intelligent edge, will fuel future use cases, how machine learning can be applied in solving difficult wireless communication challenges, and some of the AI research areas that will drive the 5G Advanced evolution and 6G.

 

Dinesh Sharma (IBM, USA), IBM Fellow 

Title: 5G/6G Edge Computing and Enterprise Edge AI Solutions

Abstract: 5G has introduced the concept of Edge Computing which can potentially enable several enterprise edge solutions providing lower latency, data security and regulatory compliance. In this talk, we will discuss several enterprise solutions, primarily AI based, that could benefit from the availability of edge computing in 5G and 6G networks. 

 

Jungsoo Jung (Samsung, Korea)

Title: Communications-computing convergence, a key technology for 6G 

Abstract: In next 10 years, the main consumer of wireless communications will be changed from human to intelligent machines that have almost no limitation on its sensing capability and generates or processes immense amount of data.

6G, the next generation wireless communications technology, needs to be designed considering such change while providing enhanced performance for human users that overcomes limited computing performance and battery capability of user equipments with various form-factors. In this talk, we will explore evolution of communication systems and its main driver from 1G to 6G, example 6G services and convergence between computing/AI and 6G communications, a key technology required to support forementioned two major future trends.

 

MANSOOR HANIF (NEOM, Saudia Arabia)

Title: The Cognitive Generation

Abstract: The global vison for 6G is already exactly in-line with NEOM’s current work on building the first truly Cognitive Cities. NEOM can drive global collaboration to drive the vison of 6G as “CognitiveG” – the Cognitive Generation. NEOM is already working on research projects with KAUST – many of which fit with the vision of 6G. NEOM will also leverage the Applied Research Institute for Cognitive Cities to drive further global collaboration in this area. NEOM offers an integrated CONNECT, COMPUTE and CONTEXTUALIZE capability which is unique for the development of 6G. Key areas where NEOM is already driving new thinking which will flow into 6G include Remote Interaction, Human-Machine symbiosis, Converged networks for Urban Robotics and AR/VR/Holograms merging with physical assets.

 

Prof Vincent Poor (Princeton, USA)

Title: Distributed Machine Learning for Wireless Semantic Communication

Abstract: The emergence of new wireless services and applications is generating unprecedented amounts of data that will strain the capacity of modern-day wireless networks. A novel paradigm, called semantic communication, allows the meaning of the data to be extracted based on the background knowledge of users and transmitted over wireless links, thus significantly improving communication efficiency. To ensure that each user can accurately extract the meaning of data meaning, understand the meaning of the received data, and recover the original data, there is a need to design distributed learning based wireless semantic communication frameworks. Distributed learning techniques enable wireless devices to collaboratively train a shared semantic information extraction model and a shared data recovery model. In this talk, we present a framework to address some of the fundamental challenges of semantic communications. First, we introduce the fundamentals of distributed learning techniques and semantic communications. Second, we introduce a novel distributed semantic communication framework that jointly considers the semantic information extraction and transmission, data recovery, as well as the evaluation of semantic communication performance. Then, we will show that the proposed distributed semantic communication framework can effectively reduce the size of the text data that needs to be transmitted while ensuring the semantic similarity between the recovered text and the original text. We conclude the talk with the discussion on future research directions.

Bio: H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University, where his interests include information theory, machine learning and network science, and their applications in wireless networks, energy systems, and related areas. He is a Member of U.S. National Academy of Engineering and the U.S. National Academy of Sciences, an Honorary Member of the National Academy of Sciences, Republic of Korea, and a Foreign Member of the National Academy of Engineering of Korea. He received the IEEE Alexander Graham Bell Medal in 2017.

 

Duration (tentative):

The Special Workshop will be scheduled according to the plan already made by the General Chairs, as reported in the following table (SW 2).

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