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Institution

Deutsche Telekom

CompanyWelwyn Garden City, United Kingdom
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.


Papers
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Proceedings ArticleDOI
12 Apr 2010
TL;DR: It is shown that significant performance gains may be realized with both proposed feedback methods compared to conventional LTE Release 8 networks without MU-MIMO support.
Abstract: We compare the performance of the downlink of a 3GPP UTRAN Long Term Evolution (LTE) system with multiuser (MU) multiple input multiple output (MIMO) support and channel state information (CSI) feedback to a standard MU-MIMO LTE system utilizing channel quality indicator (CQI) feedback only. For the latter case, we propose an efficient method for estimating the appropriate MU-MIMO transmission parameters based on the LTE Release 8 feedback, which is not providing any additional MU-MIMO feedback information. In order to facilitate a fair performance comparison, we spend approximately the same number of feedback bits for both feedback methods and we evaluate which method performs better in the considered scenario for various cases by means of extensive system-level simulations, assuming a low-rate feedback channel. It is shown that significant performance gains may be realized with both proposed feedback methods compared to conventional LTE Release 8 networks without MU-MIMO support.

14 citations

Journal ArticleDOI
TL;DR: Transmission capabilities of a coherent real-time UDWDM PON over deployed fibers in two testbeds and extensive coexistence tests including LTE backhauling and GPON, RF-Video, 100G and OTDR were performed.
Abstract: Transmission capabilities of a coherent real-time UDWDM PON over deployed fibers in two testbeds (Berlin and Darmstadt, Germany) are demonstrated. Extensive coexistence tests including LTE backhauling and GPON, RF-Video, 100G and OTDR were performed. A silicon photonics-integrated CMOS laser was used for parts of the trial.

14 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate polynomial factorization as a classical analysis method for servers with semi-Markov arrival and service processes, and give an overview of numerical and performance aspects of factorization in comparison to alternative methods.
Abstract: We investigate polynomial factorization as a classical analysis method for servers with semi-Markov arrival and service processes. The modeling approach is directly applicable to queueing systems and servers in production lines and telecommunication networks, where the flexibility in adaptation to autocorrelated processes is essential. Although the method offers a compact form of the solution with favourable computation time complexity enabling to consider large state spaces and system equations of high degree, numerical stability is not guaranteed for this approach. Therefore we apply interval arithmetic in order to get verified results for the workload distributions, or otherwise to indicate that the precision of the computation has to be improved. The paper gives an overview of numerical and performance aspects of factorization in comparison to alternative methods.

14 citations

Book ChapterDOI
TL;DR: This paper describes ongoing work that is aiming to understand the practical implications and benefits of applying agent technology to network and service management through prototyping and experimentation.
Abstract: Agent technology promises to increase the flexibility and power of telecommunications management systems and services. This paper describes ongoing work that, through prototyping and experimentation, is aiming to understand the practical implications and benefits of applying agent technology to network and service management.

14 citations

Proceedings ArticleDOI
10 Apr 2011
TL;DR: The experiment methodology of deploying the Goose software in two campuses located in Germany and China is introduced and the observation reveals the following aspects of user interactions and their influences.
Abstract: Mobile social applications are popular as the proliferating of mobile devices. Understanding user social behaviors is important to improve mobile social applications and enhance its quality of service. However, there is still lack of data for real deployment mobile social application on data analysis of human interaction and social behaviors in mobile social networks.In this paper, we introduce the experiment methodology of deploying the Goose software in two campuses located in Germany and China respectively. Goose is a mobile social network application allows microblogging, message sending. With the help of volunteers, we collect user interaction data in the duration of 15 days. Based on the collected data, our observation reveals the following aspects of user interactions and their influences. First, user overall activities approximately match user daily life work pattern with a slightly longer time duration and periodically appearance. Second, user encounters in mobile social network follow the heavy tail distribution in small social communities, and user interactions follow the Pareto principle, where about 20% of users make close connections to the other users. Third, communication path between a pair of mobile nodes is mostly within 6 hops, and information diffusion using an epidemic strategy demonstrates that the informed population reaches to 50% in a short term and approaches to 80% in a long term.

14 citations


Authors

Showing all 3475 results

NameH-indexPapersCitations
Jörg Müller6740715282
Anja Feldmann6734017422
Yuval Elovici6254414451
Lior Rokach5535719989
Pan Hui5246817724
Hartmut G. Roskos504349643
Wolfgang Haase5062411634
Shlomi Dolev4851610435
Jean-Pierre Seifert452987516
Stefan Schmid455619088
Fabian Schneider441647437
Karsten Buse433947774
Tansu Alpcan432937840
Florian Metze423187148
Christian Bauckhage422858313
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
20227
202139
202061
201984
201897