Research

6G-RIC develops key technologies for future 6G communication systems

One of the greatest challenges of the technological shift to 6G is how to reconcile the expected explosive growth in data traffic, the integration of sensor services and massive network densification with the demand for global sustainability and fairness.

In view of Germany’s long-term climate goals and the rapid spread of wireless communications, a profound reduction in energy consumption in future mobile networks is of particular social and economic importance. Privacy protection and user security are also growing more and more crucial for the social acceptance of future 6G technologies. In parallel, with the advent of quantum computing, it is essential for the security of 6G networks to be based from the outset on techniques that are resistant to quantum attacks.

Transition from 5G to 6G

6G-RIC envisions a holistic approach to the transition from 5G to 6G, with energy consumption, data acquisition, network computation and “security by design” serving as integral parts of the network design.

Technological Innovation Areas (TIAs)

Conceptually, 6G-RIC comprises six Technological Innovation Areas (TIA), which aim to develop disruptive solutions that go far beyond the current state of the art. The research work in each TIA is organized within an individual working group (WG).

illu-tias-logo-neg
Dr. Zoran Utkovski coordinates the working groups
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute Conventional

Traditional communication protocols are content-agnostic, meaning that they consider communication links to be data pipes that carry communication messages whose context-dependent meaning is ignored. In light of emerging networked intelligent systems, the traditional role of communication engineering should be revisited to incorporate the semantics of information, in an effort to provide a goal-oriented, unified treatment of data generation, transmission, and usage. Enabled in part by novel computing/processing paradigms for edge/on-device intelligence, the concept can be seen as an integral part of a general holistic approach that integrates different forms of contextual information in the quest to provide scalable, energy-efficient connectivity solutions for future communication systems.

TIA 1:
Sub-THz Mobile Access

Commercial development of the highest signal bandwidths in the sub-THz range for market-ready mobile applications requires new energy-efficient and cost-effective transceiver technologies. 6G-RIC is addressing the emerging bandwidth limitations of existing communication infrastructures to ensure not only that future networks are able to reliably transmit 100 Gbit/s, but also that sub-THz transmission becomes at least twice as energy-efficient and cost-effective as the current state of the art.

6G-RIC will achieve these ambitious goals via optimized integration, such as the hybrid integration of semiconductor technologies – RF CMOS, SiGe, and III-V compound semiconductors. For example, the HF front-end components required for the highest signal bandwidths and the best signal-to-noise ratio will be integrated in SiGe or III-V technologies, while the IF and baseband components will be implemented in RF CMOS in an energy-efficient and cost-effective manner. By also using the latest packaging techniques based on low-loss circuit board materials, 6G-RIC will deliver the world’s first highly integrated communication module that not only opens the sub-THz range, but also fulfills the bandwidth, cost, energy and security requirements of future 6G applications. In addition to the frequency range around 30 GHz, 6G-RIC will address the frequencies around 150 GHz and 300 GHz are addressed.

On the physical layer, 6G-RIC will also develop waveforms, adaptive mixed-signal concepts, and algorithms that are either self-adapting or resistant to hardware influences (phase noise, nonlinearities, and IQ imbalance), Doppler frequencies, and other disruptive influences. To establish reliable mobile connections, novel multi-antenna techniques (reconfigurable antennas, holographic beamforming, hybrid beamforming, massive MIMO) are combined with concepts such as multi-connectivity (e.g. in connection with lower frequencies), and “seamless handover”. Full duplex communication is another important research aspect within 6G-RIC.

In addition, the hub also examines direct sampling concepts with mixed-signal signal processing and heterointegration of various semiconductor technologies to optimize performance and energy consumption – supplemented by the evaluation of external influences on packaging materials (e.g. aging). The individual components of the radio part as well as the radio channel characterization and the intelligent surfaces are developed with partners following a modular approach. This makes it possible to combine all major semiconductor technologies (CMOS, SiGe, III/V) at different frequencies up to the THz range (28 GHz, 150 GHz, 300 GHz) with mixed-signal processing and connect digital circuits to a fully functional Radio Unit (RU).

Working Group 1 (Sub-THz Mobile Access) is led by:

Prof. Dr. Wilhelm Keusgen
Technical University of Berlin

In 6G, communications in the mm-wave and sub-THz range will play a central role. The development of mobile communications in these frequency bands is extremely challenging and possible by combining the work of different disciplines only. The 6G-RIC provides an ideal framework for this.
Photo © Felix Noak

Dr. Lorenzo Miretti
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute

As a passionate information and communication theorist, 6G-RIC offers me the perfect environment for turning my knowledge into action, and to expand it towards new horizons. I am very excited to have joined this incredible team with such a broad domain of expertise. This is crucial for the successful investigation of complex technologies such as sub-THz access networks.

TIA 2:
Intelligent Radio Environments

Due to the continuous need for higher data rates as well as the trend towards higher frequencies, MIMO will remain an essential part of 6G networks, making it an important research topic for 6G RIC. The aim of 6G-RIC is a user-centric co-design of hardware and software for cell-less operation and distributed MIMO systems. It must take practical aspects into account such as uncertain and missing channel information, near/far field behavior, nonlinearities of power amplifiers, antenna coupling effects, non-stationarities, and hybrid digital-analog hardware architectures with low-resolution A/D converters.

To enable truly intelligent MIMO that can compensate for the lack of a good model, new hybrid ML/AI methods must be developed which can handle non-stationarities in distributions in order to overcome these practical limitations. To ensure energy-efficient operation, these methods are combined with antenna selection processes. Another topic will be channel estimation for coherent processing. To minimize the channel estimation effort, methods for exploiting statistical dependencies over time, frequency, and space are considered, among other things. The best performance is currently achieved through Massive MIMO (M-MIMO). As a logical next step, 6G-RIC will explore the potential of holographic MIMO, which extends the concept of Massive MIMO to the extreme case where the array can be viewed as a continuum of antenna elements.

This consideration promises further performance gains as well as simpler algorithmic solutions. Edge computing also plays an important role, allowing novel paradigms such as neuromorphic computing and analog signal processing to be integrated into open processing platforms such as RISC-V ISA. In addition, new channel coding methods are needed for applications with very high throughput, which requires the development of fast decoders that run on hardware-related virtualized environments. Another focus is the research and development of intelligent reflecting surfaces (IRS) to adapt and optimize the radio environment, which represents a paradigm shift compared to current radio networks. The ability to influence the environment using radio technology opens new opportunities for reliable, energy-efficient, and inherently secure communication. An important aspect here is the development of ML-based algorithms for real-time optimization of IRS that approximate the solutions of complex combinatorial problems.

Working Group 2 (Intelligent Radio Environments) is led by:

Prof. Dr. Robert Schober
Friedrich-Alexander-Universität Erlangen-Nürnberg

I am happy to contribute to 6G-RIC put Germany in the position to become an international leader in 6G research and to actively shape future 6G wireless communication systems! Robert’s main area of expertise is the physical layer of wireless communication systems. His research in 6G-RIC focuses on intelligent reflecting surfaces (IRSs), integrated sensing and communications (ISAC), and future multiple-access schemes.securing 6G in the age of powerful quantum computers.

TIA 3:
Network as a Sensor

6G networks will not only enable new applications with extreme bandwidths and high reliability combined with low latency times, but also offer integrated radio-sensing services such as localization and detection (“network as a sensor”). This is particularly important for applications such as extended reality, connected robotics, and autonomous systems.

Furthermore, radio-sensing will enable 3D imaging of the radio environment across different frequencies. Research within this TIA covers the details of combining communication and radio-sensing: waveform design, channel charting-based localization solutions with centimeter-level accuracy, information extraction in the network, information fusion across multiple terminals, and processing of the sensed information via edge caching.

Considering communication and radio-sensing together leads to new and even more complex multi-dimensional optimization problems. Conflicting communication part KPIs must be balanced not only against each other, but also against sensing requirements like classification and localization errors. 6G-RIC is examining the approach of a jointly optimized waveform. This solution promises not only the highest spectral efficiency, but also the highest power efficiency and lowest cost due to the fully shared transmitter and largely shared receiver. The combination with sub-THz technologies also brings a significant improvement in sensing accuracy, enabling new applications in industry and healthcare.

Working Group 3 (Network as a Sensor)  is led by:

Prof. Dr. Anke Schmeink
RWTH Aachen

In 6G-RIC, we will train the professional experts who drive innovation for future communication technologies. In this way, we will ensure the development of sustainable know-how for the European economy, enable a trend-setting digital transformation for our community, and equip ourselves for future crises.

TIA 4:
6G Connectivity

The vision of IoT connectivity required for diverse machine-type communication (MTC) applications has yet to be realized. In particular, the current approach of modifying existing wireless systems, which are designed primarily for “person-to-person” communications, to meet IoT connectivity requirements has often proven to be inefficient and not scalable.

One missing design element is the E2E perspective, meaning the entire protocol stack from the physical layer to the application layer. Therefore, this TIA focuses on developing coding schemes for uncoordinated multiple access (random access), including new methods combining “unsourced” random access with Massive MIMO receivers, polar code constructions (including polar-coded modulation and waveform), and code design for very short blocks with incomplete (or missing) channel state information. Considering application and communication separately can significantly limit the efficiency and resilience of the overall system. This TIA therefore includes procedures that are also based on the concept of semantic-aware communication (such as co-designing control and communication).

In this context, semantic-based communication solutions will be developed that deviate from traditional communication paradigms by making the “semantics of information” the basis of the communication process, thus achieving the envisioned standardization in how data is generated, transmitted, and used.
One approach for achieving this is to equip communication devices with the ability to drive data via semantic pre-processing (e.g. context-based sampling) in order to perform target-oriented signal reconstruction in a fusion center (e.g. in the edge cloud).

Working Group 4 (6G Connectivity)  is led by:

Dr. Gianluigi Liva
German Aerospace Center

Satellite Networks Department – Institute of Communications and Navigation, German Aerospace Center (DLR) Information Transmission Group Leader „Within the 6G-RIC consortium, we will bring our knowledge in the design of reliable communication techniques for massive-size wireless networks. Thanks to the complementary areas of expertise of the 6G-RIC partners, we aim at developing key technologies, laying the foundation of next generation cellular systems.

TIA 5:
Post-Quantum Security by Design

From both an economic and a social point of view, it is essential to consider aspects of communication security and data protection (privacy) as integral components of the design right from the start. This TIA envisions a security architecture for 6G networks that ensures security by design.

It will also systematically assess the real danger of attacks with quantum hardware and develop defense mechanisms based on post-quantum cryptography and physical layer security (the latter offers information-theoretical security). Another focus is methods for detecting attacks (such as distributed denial-of-service attacks or the targeted injection of messages that cause instability) at the level of the analog radio channel. Machine learning methods will be used for detection here. In addition, the TIA will design and implement appropriate countermeasures as prototypes.

Working Group 5 (Post-Quantum Security by Design)  is led by:

Prof. Dr. Stefan Katzenbeisser
University of Passau

Open and secure radio access networks will form the basis for mobile communications in Germany in the future. We will contribute our expertise in practical IT security issues with a focus on hardware-oriented security, critical infrastructures and data protection to the 6G-RIC consortium.

TIA 6:

Autonomous, Convergent Networks

Autonomous, scalable, and flexible management of a virtualized, disaggregated 6G network requires new self-organizing, multi-governance network management as well as suitable abstractions of the hardware and software infrastructure components. This network management must address aspects such as automation, customization, data protection, and security while offering end-to-end orchestration functions for the system to be coherently and continuously adapted to the requirements and available resources. It must also allow the configuration of mobility and QoS management, as well as flexibility in the data and control level through new abstractions and programmability.

In 6G networks, new approaches for controlling network behavior (“intents”) must be implemented to monitor and simplify the control and operation of campus networks through autonomous network functions, among other things. Approaches using AI/ML-based methods should start with an intention-based “human-in-the-loop” concept in a reduced but important role to enable human intervention. This requires AI/ML processes and pipelines that allow changes to be made during operation. To make this happen, we need scalable solutions for E2E network monitoring allowing data to be acquired, aggregated, and, if necessary, pre-processed in the network. Such monitoring will form the basis for numerous network automation tasks, including traffic prediction, QoS estimation, network status verification, network debugging, and network modeling. Data acquisition and AI/ML techniques are also the prerequisites for forecasting and decision making to automatically create optimal configurations based on collected data and experience. Efficient management requires comprehensive optimization frameworks that handle communication, computation, caching, control, and learning in a holistic manner. This means that RAN, CORE, transport network, and cloud resources must be considered jointly. The growing complexity of communication systems can only be mastered through the approaches described here, and 6G campus networks will be able to meet these requirements.

Working Group 6 (Autonomous, Convergent Networks)  is led by:

Prof. Dr. Admela Jukan
Technical University of Braunschweig

The fundamentally new nature of 6G communications technology is also calling for new networking and computing paradigms with autonomous, pervasive and dependable network management. The emerging 6G ecosystem opens up opportunities to developing innovative network management strategies while navigating the network architecture evolution towards holistic optimizations of communications, computing, caching, control and learning, over RAN-, CORE-, Transport Network and cloud/edge computing infrastructures.

Research and Integration Modules

To integrate the interdisciplinary work across the working groups, 6G-RIC is additionally structured into six cross-topic research and integration modules: Modules 1, 2, and 3 focus on specific aspects of an open 6G communication system, specifically the lower physical layer (Module 1), real-time signal processing (Module 2), and intelligent network management (Module 3). Modules 4 and 5 consider the multidisciplinary topics of security by design (Module 4), integration, and demonstration (Module 5). Module 6 encompasses overarching standardization and public relations activities.

MODULE 1
6G Radio Unit and Propagation
  • Radio channel measurement and modeling
  • 28/150/300 GHz transceivers and antennas
  • Converters and mixed-signal circuits
  • Heterointegration
  • Low-PHY and fronthaul interface
  • Intelligent surfaces

This module aims to develop concepts and prototypical implementations of software-defined mm-wave and THz radio parts (radio units) for mobile communication and sensing (TIA1) as well as intelligent surfaces for controlling wave propagation in the radio channel (TIA2).

The module focusses on characterizing and modeling mm-wave and THz radio channels as well as on creating a database of channel measurement data for use in system simulations and machine learning methods (TIA1, TIA2, TIA3). The essential design criteria for the radio part are support of multiple data streams and mobility through hybrid beamforming approaches and sufficient equivalent radiated power for applications in outdoor microcells.

In addition, the module also examines direct sampling concepts with mixed-signal signal processing and heterointegration of various semiconductor technologies to optimize performance and energy consumption – supplemented by the evaluation of external influences on packaging materials (e.g. aging). The individual components of the radio part as well as the radio channel characterization and the intelligent surfaces are developed with partners following a modular approach. This makes it possible to combine all major semiconductor technologies (CMOS, SiGe, III/V) at different frequencies up to the THz range (28 GHz, 150 GHz, 300 GHz) with mixed-signal processing and connect digital circuits to a fully functional Radio Unit (RU).

Module 1 (6G Radio Unit and Propagation)  is led by:

Prof. Dr. Gerhard Kahmen
Leibniz Institute for High Performance Microelectronics

Communication Systems represent the backbone of a connected society. Developing and Mastering the 6G Technology and having unlimited access to important components is of strategic relevance and provides a crucial contribution to Germanys and Europes technological sovereignty. Based on the comprehensive experience of the 6G-RIC consortium 6G key components will be researched and developed across all fields of technology. The transfer of results into applications is a strong focus point right from the beginning.

MODULE 2
Real-Time Sensitive Signal Processing
  • Real-time sensitive signal processing
  • Signal processing for wireless and optical communication
  • 6G connectivity and semantic-based communication
  • Joint communication and sensing
  • Intelligent radio environments
  • Real-time management of network resources

This module researches and develops new signal processing methods for the high PHY and MAC layers. The aim here is to conceptualize and implement algorithmic solutions and transmission schemes for real-time sensitive applications. This includes hybrid ML/AI methods for MIMO technologies with a focus on the sub-THz range (TIA1) taking into account practical constraints (co-design of software and hardware), as well as solutions for real-time baseband processing in software.

Other topics include the integration of antenna selection methods for energy-saving operation and the minimization of channel estimation effort by exploiting statistical dependencies over time, frequency, and space. The module will also explore the potential of holographic MIMO. The aim is to understand the fundamental limitations of holographic MIMO and to tailor existing algorithmic solutions from Massive MIMO to holographic MIMO. For this purpose, continuous MIMO models will be developed and used instead of the established discrete models. Furthermore, aspects of intelligent radio environments (TIA2) such as the algorithmic design of ML techniques for real-time configuration of intelligent reconfigurable surfaces and signal processing in the context of holographic MIMO will be considered. In parallel to the signal processing aspects, the module will develop channel coding solutions for very high throughput applications. Another aspect is the investigation of solutions for massive connectivity with a focus on uncoordinated multiple access and semantics-based radio access protocols (TIA4). This module is also intended to develop an integrated framework for sensing, communication, computation, localization, and control (TIA3). It will also examine solutions for interference management, distributed resource allocation, and caching. This module also considers the coexistence of networks in licensed/unlicensed bands as well as cross-technology communication support. Finally, it will address fronthaul aspects including support for dynamic functional splits.

In addition, the module also examines direct sampling concepts with mixed-signal signal processing and heterointegration of various semiconductor technologies to optimize performance and energy consumption – supplemented by the evaluation of external influences on packaging materials (e.g. aging). The individual components of the radio part as well as the radio channel characterization and the intelligent surfaces are developed with partners following a modular approach. This makes it possible to combine all major semiconductor technologies (CMOS, SiGe, III/V) at different frequencies up to the THz range (28 GHz, 150 GHz, 300 GHz) with mixed-signal processing and connect digital circuits to a fully functional Radio Unit (RU).

Module 2 (Real-Time Sensitive Signal Processing)  is led by:

Prof. Dr. Giuseppe Caire
Technical University of Berlin

If 2G made mobile voice telephony ubiquitous, 3G and 4G brought the Internet in users‘ pocket, and the presently deploying 5G is bringing in focus new uses, such as dedicated campus networks for „vertical“ users and machine-to-machine communications, 6G will represent the apex of this development process, achieving fiber-like data rates, reliability, and latency, and combining communication and sensing functions, such that even the most demanding services such as interactive virtual reality and super-high definition video will be supported. 6G-RIC represents a unique opportunity for Germany to lead the research and development effort in the next generation of wireless data communication networks, which in turn have proven to act as a lever on a large segment of economy by enabling new ideas and eventually opening new business opportunities. On my side, I bring to 6G-RIC my competence in information theory applied to multiuser-MIMO systems, and my recent work in joint radar sensing and communications. For me and my PhD students 6G-RIC provides a great opportunity to establish productive and synergistic collaboration bonds with the other excellent research groups participating in the project.

MODULE 3
Campus Network Autonomous Platforms and Operations
  • Campus network autonomous platforms and operations
  • Intelligent connectivity and autonomous platform management
  • Infrastructure abstractions and enabling AI/ML
  • Intelligent infrastructure control and technology provisioning

The focus is on the autonomous control, operation, and programmability of campus networks (TIA6). To achieve this, the module will determine the basics for models and requirements in terms of performance, reliability, and innovative business aspects for campus networks regarding the core network, the required abstractions, and controlling the data path up to the RAN (TIA2).

This includes analyzing and designing the latest network models and communication technologies and their applicability in the planned campus networks. The module will identify opportunities for optimization and AI-based solutions and design an architecture bringing together the different paradigms and technologies to optimally support AI-driven applications while considering data intelligence aspects such as compliance and ethics. The challenges and solutions mentioned in connection with TIA6 regarding self-organizing network management will be examined and developed. These solutions inherently take into account the guarantee of privacy, security (TIA5), and reliability in the design. For scalable and flexible management of a virtualized, disaggregated 6G network, the module will develop abstraction of the hardware and software infrastructure components and create dynamic AI/ML models during operation. Such models form the basis for E2E network monitoring and, consequently, for autonomous 6G networks while also helping to improve resource and energy efficiency. Furthermore, new mechanisms for a permanent and seamless connection to the network as well as new concepts for programmatic control of the data level from the RAN to the private edge clouds (TIA3) are being developed. Finally, the module will research approaches to increase resilience through co-design of control and communication based on the prediction of control requirements and quality of service (QoS) as well as QoS provisioning (TIA4).

In addition, the module also examines direct sampling concepts with mixed-signal signal processing and heterointegration of various semiconductor technologies to optimize performance and energy consumption – supplemented by the evaluation of external influences on packaging materials (e.g. aging). The individual components of the radio part as well as the radio channel characterization and the intelligent surfaces are developed with partners following a modular approach. This makes it possible to combine all major semiconductor technologies (CMOS, SiGe, III/V) at different frequencies up to the THz range (28 GHz, 150 GHz, 300 GHz) with mixed-signal processing and connect digital circuits to a fully functional Radio Unit (RU).

Module 3 (Campus Network Autonomous Platforms and Operations)  is led by:

Prof. Dr. Admela Jukan
Technical University of Braunschweig

The future deployment of 6G networks is inextricably connected with diverse hardware elements and infrastructures, thus leading not only to a highly heterogeneous environment, but also to functions and features that cannot be anticipated at the time of design. In 6G-RIC, new aspects of control and management, such as intent-based networking, are proposed and the methods of AI/ML-based systems with „Human-In-The-Loop“ features. Telemetry and data acquisition and pipelining play a critical role, as well as end-to-end-network monitoring, to name a few.

MODULE 4
Security
  • Security
  • System security for 6G networks
  • Future-proof lightweight cryptography
  • Physical-layer security to protect against eavesdropping attacks
  • Anomaly and jamming detection

The module will design a security architecture for 6G networks based on a system-wide analysis of threats and risks. It will also provide concrete guidelines for setting up inherently secure campus and open RAN networks. To secure 6G-relevant communication methods, new cryptographic primitives such as quantum computer-resistant signature methods with low latency will be developed and implemented while ensuring their resistance to side-channel attacks.

Another goal of the module is to integrate physical layer security (PLS) methods. This will result in lightweight protection mechanisms that secure highly scalable analog communication methods against eavesdropping and protect against unauthorized interference in communications. Since PLS methods inherently depend on radio channel properties, the module is also developing methods for quantifying security using channel measurements (secrecy maps) and for influencing it by shaping the radio channel using intelligent reflecting surfaces (IRS) and friendly jamming. Another focus will be on detecting and defending against (D)DoS attacks.

Examples of this include jamming and smuggling messages that cause instability and malfunctions in the network. Security is a cross-topic that affects TIA1-TIA6.

In addition, the module also examines direct sampling concepts with mixed-signal signal processing and heterointegration of various semiconductor technologies to optimize performance and energy consumption – supplemented by the evaluation of external influences on packaging materials (e.g. aging). The individual components of the radio part as well as the radio channel characterization and the intelligent surfaces are developed with partners following a modular approach. This makes it possible to combine all major semiconductor technologies (CMOS, SiGe, III/V) at different frequencies up to the THz range (28 GHz, 150 GHz, 300 GHz) with mixed-signal processing and connect digital circuits to a fully functional Radio Unit (RU).

Module 4 (Security)  is led by:

Prof. Dr. Stefan Katzenbeisser
University of Passau

Open and secure radio access networks will form the basis for mobile communications in Germany in the future. We will contribute our expertise in practical IT security issues with a focus on hardware-oriented security, critical infrastructures and data protection to the 6G-RIC consortium.

MODULE 5
6G-RIC Infrastructure and Demonstration
  • 6G-RIC infrastructure
  • Demonstration
  • Testbed

Module 5 sets up the test infrastructure (6G-RIC infrastructure) in the form of a dynamically growing testbed comprising three components: first, a laboratory environment that allows developed technology components to be implemented under controlled conditions with state-of-the-art measurement technology.

The second pillar is a “real bed“: a test environment for the different communication scenarios. This consists of partially virtualized, emulated network elements and the actual RAN hardware (industrial indoor and urban outdoor scenario). The measurement and probing data obtained, as well as the synthetic emulation data, form the basis for suitable AI models. The third pillar is the high-performance computing infrastructure, consisting of CPU, GPU, and FPGA resources; the programmable, high-rate GbE networking of computing and RAN; and the high-performance data storage architecture. This infrastructure is available to the partners, as well as the associated companies and startups, and intends to establish Germany and the Berlin-Brandenburg region as the leading driver of sustainable innovation in the field of future 6G technologies.

During the project period, the real lab serves primarily as a technological base for the planned end-to-end (E2E) demonstrations E1-E2, whereas the laboratory environment is primarily used for the various technology demonstrators D1-D6. The latter primarily demonstrate the key technologies of TIAs 1-6 via selective implementations of a future 6G infrastructure. To supplement this, the two end-to-end demonstrations should combine a number of key technologies across modules and thus represent a future 6G landscape.

Module 5 (6G-RIC Infrastructure and Demonstration)  is led by:

Prof. Dr. Wilhelm Keusgen
Technical University of Berlin

In 6G, communications in the mm-wave and sub-THz range will play a central role. The development of mobile communications in these frequency bands is extremely challenging and possible by combining the work of different disciplines only. The 6G-RIC provides an ideal framework for this.
Photo © Felix Noak

MODULE 6
Dissemination
  • Dissemination
  • Standardization
Module 6 includes overarching activities for public relations work and for standardization activities.
Publications
2024
2023
2022
2021
Education & PhD Workshops

The educational approach and training of PhD students within the 6G-RIC project is an important part of the Hub. We are organizing PhD workshops during the project period to encourage young talents.

The networking and promotion of qualified professionals is an important milestone in fostering young researchers and creating prospects.

We are looking forward to catch up for the next PhD Workshop in October 2023. In Fall/Winter 2023/2024 we are planning the next PhD School at DLR Munich, in Oberpfaffenhofen. 

Stay tuned for updates. If you have questions please contact us by mail @info@6g-ric.de

With great pleasure, we hosted the second 6G-RIC PhD Workshop on June 22 with around 40 PhD students & postdocs.
We are proud to announce that 6G-RIC researcher Matthias Frey successfully completed his PhD at TU Berlin on December 12, 2022
We are proud to announce that 6G-RIC researcher Johannes Dommel successfully completed his PhD at TU Berlin on November 25, 2022
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