@phdthesis{Maeder2008,
  author    = {M{\"a}der, Andreas},
  title     = {Performance Models for UMTS 3.5G Mobile Wireless Systems},
  doi       = {10.25972/OPUS-2766},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-32525},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {Mobile telecommunication systems of the 3.5th generation (3.5G) constitute a first step towards the requirements of an all-IP world. As the denotation suggests, 3.5G systems are not completely new designed from scratch. Instead, they are evolved from existing 3G systems like UMTS or cdma2000. 3.5G systems are primarily designed and optimized for packet-switched best-effort traffic, but they are also intended to increase system capacity by exploiting available radio resources more efficiently. Systems based on cdma2000 are enhanced with 1xEV-DO (EV-DO: evolution, data-optimized). In the UMTS domain, the 3G partnership project (3GPP) specified the High Speed Packet Access (HSPA) family, consisting of High Speed Downlink Packet Access (HSDPA) and its counterpart High Speed Uplink Packet Access (HSUPA) or Enhanced Uplink. The focus of this monograph is on HSPA systems, although the operation principles of other 3.5G systems are similar. One of the main contributions of our work are performance models which allow a holistic view on the system. The models consider user traffic on flow-level, such that only on significant changes of the system state a recalculation of parameters like bandwidth is necessary. The impact of lower layers is captured by stochastic models. This approach combines accurate modeling and the ability to cope with computational complexity. Adopting this approach to HSDPA, we develop a new physical layer abstraction model that takes radio resources, scheduling discipline, radio propagation and mobile device capabilities into account. Together with models for the calculation of network-wide interference and transmit powers, a discrete-event simulation and an analytical model based on a queuing-theoretical approach are proposed. For the Enhanced Uplink, we develop analytical models considering independent and correlated other-cell interference.},
  subject      = {Mobilfunk},
  language  = {en}
}
@article{SchofferSchueleinArandetal.2016,
  author    = {Schoffer, Olaf and Sch{\"u}lein, Stefanie and Arand, Gerlinde and Arnholdt, Hans and Baaske, Dieter and Bargou, Ralf C. and Becker, Nikolaus and Beckmann, Matthias W. and Bodack, Yves and B{\"o}hme, Beatrix and Bozkurt, Tayfun and Breitsprecher, Regine and Buchali, Andre and Burger, Elke and Burger, Ulrike and Dommisch, Klaus and Elsner, Gudrun and Fernschild, Karin and Flintzer, Ulrike and Funke, Uwe and Gerken, Michael and G{\"o}bel, Hubert and Grobe, Norbert and Gumpp, Vera and Heinzerling, Lucie and Kempfer, Lana Raffaela and Kiani, Alexander and Klinkhammer-Schalke, Monika and Kl{\"o}cking, Sabine and Kreibich, Ute and Knabner, Katrin and Kuhn, Peter and Lutze, Stine and M{\"a}der, Uwe and Maisel, Tanja and Maschke, Jan and Middeke, Martin and Neubauer, Andreas and Niedostatek, Antje and Opazo-Saez, Anabelle and Peters, Christoph and Schell, Beatrice and Schenkirsch, Gerhard and Schmalenberg, Harald and Schmidt, Peter and Schneider, Constanze and Schubotz, Birgit and Seide, Anika and Strecker, Paul and Taubenheim, Sabine and Wackes, Matthias and Weiß, Steffen and Welke, Claudia and Werner, Carmen and Wittekind, Christian and Wulff, J{\"o}rg and Zettl, Heike and Klug, Stefanie J.},
  title     = {Tumour stage distribution and survival of malignant melanoma in Germany 2002-2011},
  series = {BMC Cancer},
  volume    = {16},
  journal   = {BMC Cancer},
  number    = {936},
  doi       = {10.1186/s12885-016-2963-0},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-164544},
  year      = {2016},
  abstract  = {Background Over the past two decades, there has been a rising trend in malignant melanoma incidence worldwide. In 2008, Germany introduced a nationwide skin cancer screening program starting at age 35. The aims of this study were to analyse the distribution of malignant melanoma tumour stages over time, as well as demographic and regional differences in stage distribution and survival of melanoma patients. Methods Pooled data from 61 895 malignant melanoma patients diagnosed between 2002 and 2011 and documented in 28 German population-based and hospital-based clinical cancer registries were analysed using descriptive methods, joinpoint regression, logistic regression and relative survival. Results The number of annually documented cases increased by 53.2\% between 2002 (N = 4 779) and 2011 (N = 7 320). There was a statistically significant continuous positive trend in the proportion of stage UICC I cases diagnosed between 2002 and 2011, compared to a negative trend for stage UICC II. No trends were found for stages UICC III and IV respectively. Age (OR 0.97, 95\% CI 0.97-0.97), sex (OR 1.18, 95\% CI 1.11-1.25), date of diagnosis (OR 1.05, 95\% CI 1.04-1.06), 'diagnosis during screening' (OR 3.24, 95\% CI 2.50-4.19) and place of residence (OR 1.23, 95\% CI 1.16-1.30) had a statistically significant influence on the tumour stage at diagnosis. The overall 5-year relative survival for invasive cases was 83.4\% (95\% CI 82.8-83.9\%). Conclusions No distinct changes in the distribution of malignant melanoma tumour stages among those aged 35 and older were seen that could be directly attributed to the introduction of skin cancer screening in 2008. "},
  language  = {en}
}