DRIVE

News

• 2023-09-20

  Successful collaboration between Karlstad University and Rohde & Schwarz

  On Thursday 14 September, the subject of Computer Science held an open colloquium where Marco Neri from the telecommunication company Rohde & Schwarz talked about solutions and measurements related to 5G.

  Marco Neri has been involved in a joint research collaboration with Karlstad University since 2018. The research activity is one of the first collaborations in Europe to measure and analyse 5G mobile network performance. This gives Karlstad University a key role in the research context related to 5G empirical analyses and data-driven improvements.

• 2023-06-22

  Achieving Low Latency and High Throughput over Cellular Internet Connections

  Mobile networks are constantly evolving to enable improved throughput and low latency for applications. However, it has been shown that current standard congestion control algorithms can cause long delays in mobile networks due to over-allocation of buffers. In his thesis, Habtegebreil Kassaye Haile has investigated the performance of two possible solutions to this problem.

  The Internet is constantly evolving. This evolution is driven by the need to support new application requirements and improve the performance of existing applications. The layered architecture of the Internet enables this evolution to take place at a specific layer without having to make changes to components at other layers. However, upgrades limited to a specific layer or component are often not sufficient to achieve the desired performance of the application. When upgrading mobile networks, performance and latency issues can simply be moved to another layer. 

• 2023-05-26

  Edge Computing – an emerging research field

  Edge computing is one of the drivers for future industries and a fundamental component in 5G networks, says Professor Javid Taheri. He has recently published a reference book on the subject, Edge Intelligence: From Theory to Practice. The book provides a valuable introduction to a nascent field of research.

  What are the current shortcomings of cloud computing systems that Edge Computing solves?

• 2023-04-28

  Edge computing optimizes services for smart maintenance and remote support

  The DRIVE sub-project 3 “Service optimization in federated edge platforms“ aims to design and develop artificial intelligence and machine learning based solutions to optimize the performance of augmented reality and virtual reality services on user-edge-cloud continuum platforms. With this in place, smart maintenance techniques providing remote service and assistance could run more smoothly.

  Edge computing is the next generation of computing platforms to bring computing to where the data is created or required processing, instead of at its core, as is the case with cloud computing. Less network bandwidth is then being used, and the communication latency will be much lower, and significantly improve the performance of the desired service.

• 2023-03-31

  The antenna takes research on the conditions for information transfer to new heights

  Karlstad University has research equipment in several places in its premises. Now it could also be found outdoors. Since February, a Starlink antenna has been installed on the roof of the building where the Computer Science researchers are located. The antenna can now be used to measure the performance of satellite internet connections, a welcome addition to ongoing measurements of 5G and Wi-Fi network performance.

  - Our research is about information transfer, sending data over the internet, says Stefan Alfredsson, senior lecturer in Computer Science. There are different ways to connect to the internet, such as via mobile networks, Wi-Fi, 5G or satellite systems. The antenna we installed on the roof is part of the Starlink satellite system. We measure the bandwidth, latency and reliability of the Starlink connection and compare how well it works with other connection options.

• 2023-03-24

  Train connectivity tests on aggregated connectivity resulted in a Best Paper

  How reliable are different methods for connecting to mobile networks to support train signaling systems? This is what Professor Anna Brunström and Associate Professor Johan Garcia at Karlstad University have investigated in collaboration with DRIVE partner Icomera. Their work was recently highlighted in the trade press and has previously been rewarded with a Best Paper award at the IEEE 36th International Workshop on Communications Quality and Reliability (CQR) in Virginia, USA, for the paper "Measuring and Modeling Aggregate LTE Connection Reliability for Train Operators".

  Tests were conducted on 50 train sets operating on the Malmö-Stockholm route during the 2019-2021 time period. The assumption was that aggregated connectivity, i.e. multiple simultaneous connections, increases reliability and provides a more stable support for connectivity.