Deutsche Telekom

About: Deutsche Telekom is a company organization based out in Welwyn Garden City, United Kingdom. It is known for research contribution in the topics: Telecommunications network & Terminal (electronics). The organization has 3473 authors who have published 5208 publications receiving 65429 citations. The organization is also known as: DTAG & German Telecom.

First experiments with a 5G-Connected drone

Abstract: We perform experiments on the wireless communication between a drone flying at different heights and a commercial 5G base station. An Android-based tool deployed on a 5G test platform is used to record radio link parameters in the up- and downlink. In the downlink, measurements show a throughput of 600 Mbit/s on average with peaks above 700 Mbit/s. The uplink has a significantly lower throughput, comparable to 4G, with a few tens of Mbit/s.

Method and system for multiple physical use of a single identifier code shared by a group of terminals in mobile telecommunications networks

Abstract: A method for conducting communication between a plurality of terminals and at least one control center via a network, the terminals being combined into a group, with all the terminals in that group having the same identifier code within the network, and attachment to the network and establishment of a connection between an individual terminal and the control center taking place within a predetermined time window with subsequent terminating of the connection and detachment from the network, and attachment to the network and establishment of a connection between the next terminal in that group and the control center taking place within the following time window, so that after a predeterminable time period has elapsed all the terminals assigned to the group were or could have been connected to the control center at least once.

Process and apparatus for locating mobile stations

Abstract: Process and apparatus for locating mobile stations in a cellular mobile radio network. The apparatus may include a plurality of radio cells in which each radio cell is supplied by at least one base station, a plurality of transmitters in which each of the plurality of transmitters establish a locally defined underlay broadcast cell, the plurality of transmitters being located within at least one of the plurality of radio cells, a signal receiving and evaluating device associated with a respective mobile station that receives signals from the plurality of radio cells and the plurality of transmitters, information comparing units associated with the respective mobile station that compare information about one of the plurality of underlay broadcast cells received from a corresponding base station of the mobile radio network and information about the locally defined underlay broadcast cell received from one of the plurality of transmitters, a position determination device, and a device that forwards information about the locally defined underlay broadcast cell from the one transmitter to the position determination device when the compared information agree. The process may include emitting an underlay broadcast cell from the base stations of the mobile radio network, receiving, at the mobile stations, information about the underlay broadcast cell emitted from a corresponding base station of the mobile radio network, receiving, at the mobile stations, information about the locally defined underlay broadcast cell emitted from the transmitter, comparing the information received at the mobile stations from the corresponding base station and the transmitter, and determining a position of the mobile stations with the information received from the transmitter if the compared information agree.

Combining Self-Organizing Map Algorithms for Robust and Scalable Intrusion Detection

Abstract: In the field of intrusion detection systems, the aspect of anomaly detection is very important, and consequently there are many approaches that address these security issues. The usage of self-organizing map (SOM) makes a foundation for some of these approaches, which consequently often have problems to cope with the requirements of huge nowadays networks. The proposed approach focuses on improving the usage of SOMs for anomaly detection, by combining the strengths of different SOM algorithms. The performed evaluations have shown the necessity of paying attention to different aspects, coming along with network nodes, to individually choose the best matching SOM for each node's anomaly detection