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The Role of Digital Twins in 6G

Low-Complexity Neural Networks for Baseband Signal Processing

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Description

Simulation and emulation capabilities have significantly improved with the advances in compute power in the last few decades. Many applications are utilizing the power of enhanced simulation and emulation, but the wireless network quickly becomes an application that can maximize these tools due to its ever-increasing scope, scale and expanding requirements. As new network topologies are explored and the complexity of the network increases, these network tools can harness the capabilities of Digital Twins to evaluate wired and wireless network functions, design resiliency, and validate network design. This spike in complexity in network topologies is happening in tandem to the need flexible and adaptive research platforms that are capable of iterating and scaling from 5G to 6G and beyond in order to deliver novel technical results but still be useable by the larger research community. Digital twins, measurement and data fed simulations and models, offer an infrastructure to meet the rapid acceleration of design challenges that face a research ecosystem. Understanding the architectures, tools and methodologies for these model-based systems and being able to contrast them and utilize them with their physical counterparts will be integral in their use.

Event
IEEE Global Communications Conference 2022
ComSoc Member Price
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IEEE Member Price
$15.00
Non-Member Price
$25.00

6G Massive MIMO: Evolution or Revolution?

Low-Complexity Neural Networks for Baseband Signal Processing

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Description

MIMO technology has been a key technical component for LTE and LTE-advanced. Although a variety of MIMO modes, including open-loop MIMO, closed-loop MIMO, transmit diversity, spatial multiplexing, etc were supported by LTE, only limited number of antenna ports were assumed especially for early LTE deployment. To support C-band transceiver with more digital RF chains and millimeter wave transceiver with large number of antenna elements, massive MIMO has been considered as one of basic enabling technologies in designing NR system. Beamforming and beam management technologies, including high-precision CSI acquisition for MU-MIMO transmission, beam training and tracking, beam failure recovery have been designed and specified by NR standards. In order to meet 6G requirements new spectra such as 10~15GHz mid-band and high end mmWave & THz are being explored. On the other hand, the emergence of new materials (e.g. meta-surface material), advanced antenna array design technology, native AI learning and sensing capability provide us new enablers to achieve technology breakthrough in the research of 6G massive MIMO. It is expected that 6G ultra-Massive MIMO technologies will significantly increase system capacity for 6G network. The proposed panel will address new massive MIMO innovation opportunities and new challenges to researchers in academy and industry.

Event
IEEE Global Communications Conference 2022
ComSoc Member Price
$0.00
IEEE Member Price
$15.00
Non-Member Price
$25.00

IEEE Future Networks Roadmap Towards 6G

Low-Complexity Neural Networks for Baseband Signal Processing

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INGR (International Networks Generation Roadmap) is a key component of IEEE Future Networks Initiative (futurenetworks.ieee.org). The first version of roadmap white paper was published in 2017 that led to the creation of 15 working groups. These working groups include Applications and Services, Artificial Intelligence and Machine Learning, Connecting the Unconnected, Deployment, Edge Services and Automation, Energy Efficiency, Hardware, Massive MIMO, Millimeter Wave and Signal Processing, Optics, Satellite, Standardization and Building Blocks, Systems Optimization, and Testbed. As the industry continues to advance, the evolution and deployment of network generations is influenced and impacted not only by emerging, evolving, and potential convergence of technologies, but also by local and world socio-economic and health conditions (and politics). So much can happen in a year, which is why the INGR is a living document that is updated annually. The inaugural INGR was released in 2020 and its focus was primarily on the evolution of 5G networks. The intention of the 2021 INGR Edition was to take a more end-to-end perspective that included integrating future network technologies and establish a transdisciplinary framework and a predictive model for mobile networks. 2022 and the next two years will be a time of heavy 5G deployment, transformation at the edge, and increased interworking of network technologies and systems. Hence, the 2022 Edition of the IEEE Future Networks International Network Generations Roadmap (INGR) points to trends, challenges, and solutions in the current and near-term mobile network landscape, and the future vision as being cultivated through the activities of Standards Development Organizations (SDOs) and the industry around the globe. This 2022 INGR Edition broadens applications of the transdisciplinary framework, progresses each technology and system challenges and opportunities especially while interworking with other areas - while noting lessons learned that can be applied to beyond 5G. As part of this panel, the working group co-chairs will share the highlights of various INGR technology working groups and how these will affect the evolution of next generation networks and deployments over varying timelines.

Event
IEEE Global Communications Conference 2022
ComSoc Member Price
$0.00
IEEE Member Price
$15.00
Non-Member Price
$25.00

6G Network Security: Back to Basics and a New Perspective

Low-Complexity Neural Networks for Baseband Signal Processing

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Description

Wireless network cybersecurity has become a complex topic involving everything from physical-layer to network and application-layer techniques. Because the threat surface of 5G is larger than previous generations and because the technologies are so involved, we engineers dive into those complexities with detailed explanations and myriad acronyms (DDOS, MiTM, OpenSSL, SBA, SEAF, SEPP, SCAS, etc.). Because wireless security involves interwoven disciplines of radio, mobile networking, datacomms, and computer security principles, and even the sociological study of the anticipation of malicious behavior, experts in any one of these areas find at least one of the others difficult to grasp. Addressing security is also a mix of addressing security by specification, by design, by implementation, and by operational practice. This presentation will provide a fundamental framework for building understanding across these disciplines—especially between the wireless domain and the cybersecurity domain. From a design and measurement perspective, this talk will provide a practical foundation for both communities based on the context of two important perspectives: 1) Fundamentals for better understanding; 2) Proposals for a better approach to measure network security.

Event
IEEE Global Communications Conference 2022
ComSoc Member Price
$0.00
IEEE Member Price
$15.00
Non-Member Price
$25.00

Mega-Constellation-Based Non-Terrestrial Network for 6G

Low-Complexity Neural Networks for Baseband Signal Processing

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Description

Non-terrestrial networks (NTN) are complimentary to terrestrial network and expected to provide eMBB services to the areas where there are limitations. In recent years, this non-terrestrial industry has been evolving at an unprecedented speed. A couple of mega constellations have been initiated or planned in the coming years as the cost of launching rockets and rolling out satellites are hugely reduced, which make it possible to build mega (Low Earth Orbit) LEO/VLEO constellation. The emergence of low-cost mega LEO/VLEO constellations tends to be a game changer, since (i) their lower orbit altitude ensures a low latency close to that of a global cellular network and (ii) the scale of constellation provides much higher area capacity than a traditional satellite network. Both are crucial to providing eMBB services. The integration of NTN into terrestrial cellular networks is another important aspect in achieving truly global coverage, since it facilitates seamless roaming between cellular and non-terrestrial networks with a single device. The above-mentioned low latency, high capacity and seamless roaming will jointly contribute to a better user experience. However, a set of enablers are needed to realize the benefits of LEO/VLEO constellations. In this panel, we would like to invite experts from both industry and academia to shape the future of integrated mega constellation based network, deep dive the pain point of existing solutions and find out the potential research directions.

Event
IEEE Global Communications Conference 2022
ComSoc Member Price
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IEEE Member Price
$15.00
Non-Member Price
$25.00

How to Become an IEEE Fellow?

Low-Complexity Neural Networks for Baseband Signal Processing

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Description

This session discusses "How to Become a Fellow Member of ComSoc".

Event
IEEE International Conference on Communications 2022
ComSoc Member Price
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IEEE Member Price
$10.00
Non-Member Price
$20.00

The Long Journey Through Phd to Research and Academia

Low-Complexity Neural Networks for Baseband Signal Processing

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The Spotlights Session on “The Long Journey through PhD to Research and Academia” will feature speakers with experience from Industry & Academia. The Session will mainly focus on the topics that are important for Young Professionals such as Research, Startups and Innovation, Standardization and Fundin

Event
IEEE International Conference on Communications 2022
ComSoc Member Price
$0.00
IEEE Member Price
$10.00
Non-Member Price
$20.00

Reliable Federated Learning for Mobile Networks

Low-Complexity Neural Networks for Baseband Signal Processing

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Description
In this talk, we present an integration of blockchain technology into federated learning for secure and reliable federated learning. The concept of reputation is introduced as a reliable metric for federated learning workers. Based on this metric, a reliable worker select.
Event
IEEE International Conference on Communications 2021
ComSoc Member Price
$0.00
IEEE Member Price
$15.00
Non-Member Price
$25.00

AI-Enabled Future Wireless Networks and Security

Low-Complexity Neural Networks for Baseband Signal Processing

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Description
Future wireless systems will require a paradigm shift in how they are networked, organized, configured, optimized, and recovered automatically, based on their operating situations. Emerging Internet of Things (IoT) and Cyber-Physical Systems (CPS) applications aim to bring people, data, processes, and things together, to fulfill the needs of our everyday lives. With the emergence of software defined networks, adaptive services and applications are gaining much attention since they allow automatic configuration of devices and their parameters, systems, and services to the user's context change. It is expected that upcoming Fifth Generation and Beyond (5G&B) wireless networks, known as more than an extension to 4G, will be the backbone of IoT and CPS, and will support IoT systems by expanding their coverage, reducing latency and enhancing data rate. However, there are several challenges to be addressed to provide resilient connections supporting the massive number of often resource-constrained IoT and other wireless devices. Hence, due to several unique features of emerging applications, such as low latency, low cost, low energy consumption, resilient and reliable connections, traditional communication protocols and techniques are not suitable.
Event
IEEE International Conference on Communications 2021
ComSoc Member Price
$0.00
IEEE Member Price
$15.00
Non-Member Price
$25.00