47 research outputs found
Modelling the time-varying cell capacity in LTE networks
In wireless orthogonal frequency-division multiple access (OFDMA) based networks like Long Term Evolution (LTE) or Worldwide Interoperability for Microwave Access (WiMAX) a technique called adaptive modulation and coding (AMC) is applied. With AMC, different modulation and coding schemes (MCSs) are used to serve different users in order to maximise the throughput and range. The used MCS depends on the quality of the radio link between the base station and the user. Data is sent towards users with a good radio link with a high MCS in order to utilise the radio resources more efficiently while a low MCS is used for users with a bad radio link. Using AMC however has an impact on the cell capacity as the quality of a radio link varies when users move around; this can even lead to situations where the cell capacity drops to a point where there are too little radio resources to serve all users. AMC and the resulting varying cell capacity notably has an influence on admission control (AC). AC is the algorithm that decides whether new sessions are allowed to a cell or not and bases its decisions on, amongst others, the cell capacity. The analytical model that is developed in this paper models a cell with varying capacity caused by user mobility using a continuous -time Markov chain (CTMC). The cell is divided into multiple zones, each corresponding to the area in which data is sent towards users using a certain MCS and transitions of users between these zones are considered. The accuracy of the analytical model is verified by comparing the results obtained with it to results obtained from simulations that model the user mobility more realistically. This comparison shows that the analytical model models the varying cell capacity very accurately; only under extreme conditions differences between the results are noticed.
The developed analytical and simulation models are then used to investigate the effects of a varying cell capacity on AC. Also, an optimisation algorithm that adapts the parameter of the AC algorithm which determines the amount of resources that are reserved in order to mitigate the effects of the varying cell capacity is studied using the models. Updating the parameter of the AC algorithm is done by reacting to certain triggers that indicate good or bad performance and adapt the parameters of the AC algorithm accordingly. Results show that using this optimisation algorithm improves the quality of service (QoS) that is experienced by the users.This work was partially supported by the Spanish Government through project TIN2010-21378-C02-02 and contract BES-2007-15030.Sas, B.; Bernal Mor, E.; Spaey, K.; Pla, V.; Blondia, C.; MartĂnez Bauset, J. (2014). Modelling the time-varying cell capacity in LTE networks. Telecommunication Systems. 55(2):299-313. https://doi.org/10.1007/s11235-013-9782-2S2993135523GPP (2010). 3GPP TR 36.213: Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Physical layer procedures, June 2010.3GPP (2010). 3GPP TR 36.942: Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Radio Frequency (RF) system scenarios, September 2010.Al-Rawi, M., & JĂ€ntti, R. (2009). Call admission control with active link protection for opportunistic wireless networks. Telecommunications Systems, 41(1), 13â23.Bhatnagar, S., & Reddy, B.B.I. (2005). Optimal threshold policies for admission control in communication networks via discrete parameter stochastic approximation. Telecommunications Systems, 29(1), 9â31.Camp, T., Boleng, J., & Davies, V. (2002). A survey of mobility models for ad hoc network research. Wireless Communications and Mobile Computing, 2(5), 483â502.E3. ict-e3.eu.Elayoubi, S.-E., & Chahed, T. (2005). Admission control in the downlink of WCDMA/UMTS. In LNCS: Vol. 3427. Mobile and wireless systems (pp. 136â151).Garcia, D., Martinez, J., & Pla, V. (2005). Admission control policies in multiservice cellular networks: optimum configuration and sensitivity. In G. Kotsis, & O. Spaniol (Eds.), Lecture notes in computer science: Vol. 3427. Wireless systems and mobility in next generation Internet (pp. 121â135).Guo, J., Liu, F., & Zhu, Z. (2007). Estimate the call duration distribution parameters in GSM system based on K-L divergence method. In International conference on wireless communications, networking and mobile computing (pp. 2988â2991), Shanghai, China, September 2007.Hossain, M., Hassan, M., & Sirisena, H. R. (2004). Adaptive resource management in mobile wireless networks using feedback control theory. Telecommunications Systems, 24(3â4), 401â415.Jeong, S.S., Han, J.A., & Jeon, W.S. (2005). Adaptive connection admission control scheme for high data rate mobile networks. In IEEE 62nd Vehicular technology conference, 2005. VTC-2005-Fall (Vol. 4, pp. 2607â2611).Kim, D.K., Griffith, D., & Golmie, N. (2010). A novel ring-based performance analysis for call admission control in wireless networks. IEEE Communications Letters, 14(4), 324â326.Latouche, G., & Ramaswami, V. (1999). Introduction to matrix analytic methods in stochastic modeling. ASA-SIAM. Baltimore: Philadelphia.MONOTAS. http://www.macltd.com/monotas .Neuts, M. (1981). Matrix-geometric solutions in stochastic models: an algorithmic approach. Baltimore: The Johns Hopkins University Press.NGMN. NGMN Radio Access Performance Evaluation Methodology, January 2008.NGMN. www.ngmn.org .Prehofer, C., & Bettstetter, C. (2005). Self-organization in communication networks: principles and design paradigms. IEEE Communications Magazine, 43(7), 78â85.Ramjee, R., Nagarajan, R., & Towsley, D. (1997). On optimal call admission control in cellular networks. Wireless Networks, 3(1), 29â41.Siwko, J., & Rubin, I. (2001). Call admission control for capacity-varying networks. Telecommunications Systems, 16(1â2), 15â40.SOCRATES. www.fp7-socrates.eu .Spaey, K., Sas, B., & Blondia, C. (2010). Self-optimising call admission control for LTE downlink. In COST 2100 TD(10)10056, Joint Workshop COST 2100 SWG 3.1 & FP7-ICT-SOCRATES, Athens, Greece.Spilling, A. G., Nix, A. R., Beach, M. A., & Harrold, T. J. (2000). Self-organisation in future mobile communications. Electronics & Communication Engineering Journal, 3, 133
Application of Molecular Topology for the Prediction of Reaction Yields and Anti-Inflammatory Activity of Heterocyclic Amidine Derivatives
Topological-mathematical models based on multiple linear regression analyses have been built to predict the reaction yields and the anti-inflammatory activity of a set of heterocylic amidine derivatives, synthesized under environmental friendly conditions, using microwave irradiation. Two models with three variables each were selected. The models were validated by cross-validation and randomization tests. The final outcome demonstrates a good agreement between the predicted and experimental results, confirming the robustness of the method. These models also enabled the screening of virtual libraries for new amidine derivatives predicted to show higher values of reaction yields and anti-inflammatory activity
Innocampus Explora: Nuevas formas de comunicar ciencia
[EN] Innocampus Explora aims to show the students of the Burjassot-Paterna campus of the Universitat de ValĂšncia how the different scientific degrees are interrelated. To do this we propose activities in which students and teachers work together to cover the interdisciplinary nature of science, both in everyday and professional issues. Throughout this course the activities developed relate to new ways to communicate science. With the development of this project we contribute to a transversal quality education for all the participating students.[ES] Innocampus Explora tiene por objetivo mostrar a los estudiantes del campus de Burjassot-Paterna de la Universitat de ValĂšncia cĂłmo los diferentes grados cientĂficos estĂĄn interrelacionados. Para ello proponemos actividades en las que estudiantes y profesores trabajen conjuntamente para abarcar la interdisciplinariedad de la ciencia, tanto en temas cotidianos como profesionales. A lo largo de este curso las actividades desarrolladas se relacionan con las nuevas formas de comunicar ciencia. Con el desarrollo de este proyecto contribuimos a una formaciĂłn transversal de calidad para todos los estudiantes participantes.Moros Gregorio, J.; Rodrigo MartĂnez, P.; Torres Piedras, C.; Montoya MartĂnez, L.; Peña Peña, J.; Pla DĂaz, M.; Galarza JimĂ©nez, P.... (2019). Innocampus Explora: Nuevas formas de comunicar ciencia. En IN-RED 2019. V Congreso de InnovaciĂłn Educativa y Docencia en Red. Editorial Universitat PolitĂšcnica de ValĂšncia. 814-823. https://doi.org/10.4995/INRED2019.2019.10449OCS81482
Jardins per a la salut
Facultat de FarmĂ cia, Universitat de Barcelona. Ensenyament: Grau de FarmĂ cia. Assignatura: BotĂ nica farmacĂšutica. Curs: 2014-2015. Coordinadors: Joan Simon, CĂšsar BlanchĂ© i Maria Bosch.Els materials que aquĂ es presenten sĂłn el recull de les fitxes botĂ niques de 128 espĂšcies presents en el JardĂ Ferran Soldevila de lâEdifici HistĂČric de la UB. Els treballs han estat realitzats manera individual per part dels estudiants dels grups M-3 i T-1 de lâassignatura BotĂ nica FarmacĂšutica durant els mesos de febrer a maig del curs 2014-15 com a resultat final del Projecte dâInnovaciĂł Docent «Jardins per a la salut: aprenentatge servei a BotĂ nica farmacĂšutica» (codi 2014PID-UB/054). Tots els treballs sâhan dut a terme a travĂ©s de la plataforma de GoogleDocs i han estat tutoritzats pels professors de lâassignatura. Lâobjectiu principal de lâactivitat ha estat fomentar lâaprenentatge autĂČnom i col·laboratiu en BotĂ nica farmacĂšutica. TambĂ© sâha pretĂšs motivar els estudiants a travĂ©s del retorn de part del seu esforç a la societat a travĂ©s dâuna experiĂšncia dâAprenentatge-Servei, deixant disponible finalment el treball dels estudiants per a poder ser consultable a travĂ©s dâuna Web pĂșblica amb la possibilitat de poder-ho fer in-situ en el propi jardĂ mitjançant codis QR amb un smartphone
Toward More Realistic Simulation and Prediction of Dust Storms on Mars
Global dust storms have major implications for the past and present climate, geologic history, habitability, and future exploration of Mars. Yet their mysterious origins mean we remain unable to realistically simulate or predict them. We identify four key Knowledge Gaps and make four Recommendations to make progress in the next decade
Clonal chromosomal mosaicism and loss of chromosome Y in elderly men increase vulnerability for SARS-CoV-2
The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) had an estimated overall case fatality ratio of 1.38% (pre-vaccination), being 53% higher in males and increasing exponentially with age. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, we found 133 cases (1.42%) with detectable clonal mosaicism for chromosome alterations (mCA) and 226 males (5.08%) with acquired loss of chromosome Y (LOY). Individuals with clonal mosaic events (mCA and/or LOY) showed a 54% increase in the risk of COVID-19 lethality. LOY is associated with transcriptomic biomarkers of immune dysfunction, pro-coagulation activity and cardiovascular risk. Interferon-induced genes involved in the initial immune response to SARS-CoV-2 are also down-regulated in LOY. Thus, mCA and LOY underlie at least part of the sex-biased severity and mortality of COVID-19 in aging patients. Given its potential therapeutic and prognostic relevance, evaluation of clonal mosaicism should be implemented as biomarker of COVID-19 severity in elderly people. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, individuals with clonal mosaic events (clonal mosaicism for chromosome alterations and/or loss of chromosome Y) showed an increased risk of COVID-19 lethality
Comparing MSL Curiosity Rover TLSâSAM Methane Measurements With Mars Regional Atmospheric Modeling System Atmospheric Transport Experiments
The detection of methane at Gale crater by the Tunable Laser SpectrometerâSample Analysis at Mars instrument aboard the Curiosity rover has garnered significant attention because of the implications for the presence of Martian organisms (Webster et al., 2015, https://doi.org/10.1126/science.1261713). Methane's photochemical lifetime is several centuries unless there is a fast, asâyetâunknown destruction mechanism (LefĂšvre and Forget, 2009, https://doi.org/10.1038/nature08228). This is much longer than the atmospheric mixing time scale, and thus, the gas should be wellâmixed except when near a source or shortly after a release. Although most measurements report low background levels of ~0.4 parts per billion by volume, observed spikes of several parts per billion by volume or greater and a subsequent return to the background level are intriguing (Webster et al., 2015, https://doi.org/10.1126/science.1261713). The Mars Regional Atmospheric Modeling System is used to simulate, via passive tracers, the transport and mixing of methane released inside and outside of the crater from instantaneous and steady state releases, and to test whether the results are consistent with in situ observations made by the Mars Curiosity rover. The simulations indicate that the mixing time scale for air within the crater is approximately 1 sol. The timing of methane measurements within the crater is also important, because modeled methane abundance varies by ~1 order of magnitude over a diurnal cycle under all the scenarios considered. While the observed low background levels can be reproduced by the model under some circumstances, it is difficult to reconcile the measured peaks with the modeled transport and mixing. For periods of high methane abundance lasting longer than a few hours there must be a continuous release of methane inside the crater to counteract mixing, or there must be a large, methaneârich air mass continually transported into the crater. The few scenarios that can produce peaks are problematic, because they would result in background methane values above what is observed
Numerical modeling of Mars atmospheric waves trapped in the night side surface wave guide and predictions of measurements by pressure and seismic sensors of InSight Mars mission
International audiencePrevious investigations of acoustic and gravity wave propagation in Mars atmosphere suggest that these waves can be trapped close the surface during the night and propagate over long distances (Lognonné, 2017; Garcia et al., 2017; Spiga et al., 2018). This property is important for the capability of INSIGHT mission to detect infrasounds generated by meteor impacts and planetary normal modes excited by the atmosphere. These waves are expected to be recorded by both pressure and seismic sensors. This study consider simulations of these phenomena by two different numerical wave propagation tools. The first tool (MINAT) allow the computation of atmospheric and solid vibrations on a global scale with windless atmospheric models. The second one (SPECFEM-DG) is performing similar computations but including wind effects and restricted to local simulations. The two simulation tools will use identical atmosphere models. The comparison of their outputs will allow to infer the influence of winds and local/global features. The prediction of wave types and characteristics trapped close to the surface for various atmospheric conditions will be used to understand the night time observations of pressure and seismic sensors of INSIGHT mission
Numerical modeling of Mars atmospheric waves trapped in the night side surface wave guide and predictions of measurements by pressure and seismic sensors of InSight Mars mission
International audiencePrevious investigations of acoustic and gravity wave propagation in Mars atmosphere suggest that these waves can be trapped close the surface during the night and propagate over long distances (Lognonné, 2017; Garcia et al., 2017; Spiga et al., 2018). This property is important for the capability of INSIGHT mission to detect infrasounds generated by meteor impacts and planetary normal modes excited by the atmosphere. These waves are expected to be recorded by both pressure and seismic sensors. This study consider simulations of these phenomena by two different numerical wave propagation tools. The first tool (MINAT) allow the computation of atmospheric and solid vibrations on a global scale with windless atmospheric models. The second one (SPECFEM-DG) is performing similar computations but including wind effects and restricted to local simulations. The two simulation tools will use identical atmosphere models. The comparison of their outputs will allow to infer the influence of winds and local/global features. The prediction of wave types and characteristics trapped close to the surface for various atmospheric conditions will be used to understand the night time observations of pressure and seismic sensors of INSIGHT mission