Use Case
„Virtual Realities“
The project researches, develops, tests and evaluates selected VR applications over 5G networks, e.g. streaming of 360° videos and new forms of immersive media, such as volumetric data (point clouds). These applications require and test both the high data rates and the extremely low delay times of 5G networks, in the downlink (streaming to a VR glasses) as well as in the uplink (streaming live content from a 360° camera away). In addition, edge computing components are used, which 5G provides to achieve higher presentation quality and faster response times of the VR system when a user moves/interacts. VR systems are being developed which allow to demonstrate the power of 5G.
Contact person:
Univ.-Prof. DI Dr. Hermann Hellwagner
Phone: +43 463 2700 36 03
Institute:
Department of Information Technology (ITEC)
University of Klagenfurt (AAU)
Use Case
„Communication in Swams“
The aim of the project is to build up know-how in the field of future communication networks, such as 5G. Specifically, an evaluation of a swarm of drones and ground robots communicating over a 5G network and jointly performing specific tasks is carried out. The robots are not controlled centrally, but organize themselves independently on the basis of exchanged information (e.g. position, sensor, multimedia data) and with the help of swarm algorithms. Edge computing is necessary for processing the sensor data, since individual swarm members do not have enough computing capacity. Scenarios in which such autonomous swarms can be used Search and rescue missions, monitoring tasks for the protection of critical infrastructures, logistics scenarios, etc.
Contact person:
DI Dr. Christian Raffelsberger
Phone: +43 463 28 70 44 77
Institute:
Lakeside Labs GmbH
Use Case
„Communication in Swams“
The aim of the project is to build up know-how in the field of future communication networks, such as 5G. Specifically, an evaluation of a swarm of drones and ground robots communicating over a 5G network and jointly performing specific tasks is carried out. The robots are not controlled centrally, but organize themselves independently on the basis of exchanged information (e.g. position, sensor, multimedia data) and with the help of swarm algorithms. Edge computing is necessary for processing the sensor data, since individual swarm members do not have enough computing capacity. Scenarios in which such autonomous swarms can be used Search and rescue missions, monitoring tasks for the protection of critical infrastructures, logistics scenarios, etc.
Contact person:
DI Dr. Christian Raffelsberger
Phone: +43 463 28 70 44 77
Institute:
Lakeside Labs GmbH
Use Case
„Smart City“
The term Smart City encompasses a broad cross-sectional topic with various fields of knowledge starting from Smart Sensors, Smart Grids up to Smart Cities and Smart Regions. The information and communication technology part is seen as a fundamental element and serves as a basis for management tasks such as decision making when planning resources or selecting measures to optimize the eco-balance.
The aim of the Smart-City Use-Case is to research applications that can be operated more efficiently by means of 5G mobile phone technology or that can be realized at all. Prototypes developed from these applications will be tested in field tests in the spatial environment of the 5G playground Carinthia.
Contact person:
FH-Prof. Dr. Helmut Wöllik
Phone: 05 90500 3131
Institute:
Carinthia University of Applied Sciences, Study Course Network and Communication Technology
Use Case
„Wireless Industrial Robotics“
– Use of 5G in the environment of mobile robot systems
To be able to perceive the environment comprehensively, robot systems use different sensor technologies. At present, all required sensors are permanently installed on mobile robots. Sometimes, however, it makes sense to use special sensor technology directly at the workstations, for example, in order to be able to optimally detect the environment, perform a task or guarantee safety. The use of 5G technologies makes it possible to make these sensors dynamically accessible to the robot at those locations where they are needed. There are many different sensor technologies that have special requirements regarding bandwidth, latency and reliability for 5G connectivity. On the one hand, cameras require a high bandwidth, real-time data transmission is not absolutely necessary. On the other hand, safety-relevant sensors do not require high bandwidths, but data transmission is highly time-critical and must be reliable. These two extremes must be combined in a wireless 5G network.
For the first time, 5G also enables the use of edge computing. Here, data processing is outsourced to a geographically nearby data center or to computing capacities directly at the 5G transmitter station in order to keep communication paths and thus also latency low. This technology is particularly interesting for computationally intensive functions such as object recognition, which is currently limited to the on-board computing capacity of mobile robots.
Contact person:
DI Dr. Bernhard Dieber
Phone: +43 316 876-2008
Institute:
JOANNEUM RESEARCH Forschungsgesellschaft mbH, ROBOTICS – Institute for Robotics and Mechatronics
Use Case
„Wireless Industrial Robotics“
– Use of 5G in the environment of mobile robot systems
To be able to perceive the environment comprehensively, robot systems use different sensor technologies. At present, all required sensors are permanently installed on mobile robots. Sometimes, however, it makes sense to use special sensor technology directly at the workstations, for example, in order to be able to optimally detect the environment, perform a task or guarantee safety. The use of 5G technologies makes it possible to make these sensors dynamically accessible to the robot at those locations where they are needed. There are many different sensor technologies that have special requirements regarding bandwidth, latency and reliability for 5G connectivity. On the one hand, cameras require a high bandwidth, real-time data transmission is not absolutely necessary. On the other hand, safety-relevant sensors do not require high bandwidths, but data transmission is highly time-critical and must be reliable. These two extremes must be combined in a wireless 5G network.
For the first time, 5G also enables the use of edge computing. Here, data processing is outsourced to a geographically nearby data center or to computing capacities directly at the 5G transmitter station in order to keep communication paths and thus also latency low. This technology is particularly interesting for computationally intensive functions such as object recognition, which is currently limited to the on-board computing capacity of mobile robots.
Contact person:
DI Dr. Bernhard Dieber
Phone: +43 316 876-2008
Institute:
JOANNEUM RESEARCH Forschungsgesellschaft mbH, ROBOTICS – Institute for Robotics and Mechatronics
