Seong-Lyun Kim Professor. Chan-Byoung Chae Professor. Dae-Sik Hong Professor.
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5G NR - 1st Edition
All rights reserved. Therefore, the development of the fifth generation 5G wireless communication technologies is a priority issue currently. The evolution towards 5G wireless communications will be a cornerstone for realizing the future human-centric and connected machine-centric networks, which achieve near-instantaneous, zero distance connectivity for people and connected machines. On the other hand, wireless networks have been widely used in civilian and military applications and become an indispensable part of our daily life. Therefore, security is a critical issue for future 5G wireless networks.
Physical layer security techniques can be used to either perform secure data transmission directly or generate the distribution of cryptography keys for conventional cryptography techniques in the 5G networks. With careful management and implementation, physical layer security can be used as an additional level of protection on top of the existing security schemes. The developments in mobile computing, communications, and mass storage architectures in the past decade have brought about the phenomenon of big data, which involves unprecedented amounts of valuable data generated in various forms at a high speed.
The ability to process these massive amounts of data in real time using machine learning brings along many benefits that could be utilized in cyber threat analysis systems.
This information can help detect system vulnerabilities and attacks that are becoming prevalent and develop security solutions accordingly. This workshop will focus on machine learning solutions for the security problems in a wide array of computerized systems and networks.
Original research papers are welcome on topics including but not limited to:. Moreover, they are expected to provide orders of magnitude improvement to such heterogeneous networks in key technical requirements such as throughput, number of connected devices, latency and reliability. Identifying those communication features and technical requirements, the envisioned services for future wireless networks are classified as: enhanced mobile broadband eMBB e.
As an overarching feature towards 5G-and-beyond to support all scenarios efficiently, network slicing enables design, deployment, customisation, and optimisation of isolated virtual sub-networks, or slices on a common physical network infrastructure. It has been attracting much attention recently from both academia and industry on the core network function virtualisation.
However, from the radio network aspect, spectrum- and cost-efficient radio air-interface to achieve the true potential of end-to-end network slicing for the future diverse radio system is still an open issue under discussion in academia and industry. While it is critical towards the full end-to-end slicing and gain the true potential for wide range of vertical industries and section including manufacturing, entertainment, public safety, public transport, healthcare, financial services, automotive and energy utilities.egsigentrec.tk
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The proposed workshop RAN Slicing is anticipated as a collection of outstanding technical research and industrial papers covering new research results with wide range of ingredients within the 5G-and-beyond framework. Moreover, the anticipated workshop RAN Slicing is expected to provide an opportunity for exchanging new ideas and creating new space for innovative concepts in solving the challenging problems of heterogeneous communication requirements. The topics of interest for the workshop include, but are not limited to:.
Abstract: The Internet of Things IoT has numerous applications in healthcare, from smart wearable or implantable sensors to remote monitoring of elderly, medical device networking, and in general creating a healthcare network infrastructure. IoT has the potential to create a pervasive environment for monitoring patient health and safety as well as improving how physicians deliver care. It can also boost patient engagement and satisfaction by allowing them to spend more time in the comfort of their residence and interact with their care centers whenever needed. A significant driver for the IoT-Health market is the increasing penetration of connected devices in healthcare.
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Wearable sensors have received a remarkable growth in recent years; however, a pervasive IoT-Health infrastructure is still long way from commercialization. The end-to-end health data connectivity involves the development of many technologies that should enable reliable and location-agnostic communication between a patient and a healthcare provider.
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IoT-Health workshop aims to focus on the design, development, performance evaluation and experimentation of IoT enabling technologies in healthcare applications. The topics of interest for the workshop include, but are not limited to, the following:.
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Cyber-Physical Systems CPS are co-engineered interacting networks of physical and computational components. These systems will provide the foundation of our critical infrastructure, form the basis of emerging and future smart services, and improve our quality of life in many areas. For instance, a multitude of CPS devices and applications exist in industrial, transportation, medical, home-security, building automation, emergency management, power, and many other systems, which serve critical functions in our lives.
However, there are several issues and challenges remain open in this field, such as robust and real-time communication, network heterogeneity, data security and privacy, safety, etc.
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This Workshop seeks novel submissions describing practical and theoretical solutions to challenges facing CPS and Internet of Things. Submissions may represent any application area for CPS. Work-in-progress submissions are also welcome. Towards the goal of the TC-CPS, the topics of interest for the workshop include, but are not limited to, the following:.