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Artykuły w czasopismach na temat "UMTS, HSUPA, Capacity Planning"
Liu, Tuo, i David Everitt. "Interference and outage probability evaluation in UMTS network capacity planning". European Transactions on Telecommunications 18, nr 6 (2007): 651–60. http://dx.doi.org/10.1002/ett.1230.
Pełny tekst źródłaTekle, Yonatan, Ayele Shumetie i Haylemaryam Gashaw. "Capacity Dimensioning and Network Planning of UMTS Network for Hawassa City". International Journal of Electronics and Communication Engineering 6, nr 7 (25.07.2019): 17–22. http://dx.doi.org/10.14445/23488549/ijece-v6i7p103.
Pełny tekst źródłaWiedemann, Anja. "Processing capacity planning and optimisation of UMTS and beyond radio access network architectures by simulation". International Journal of Mobile Network Design and Innovation 2, nr 1 (2007): 47. http://dx.doi.org/10.1504/ijmndi.2007.013804.
Pełny tekst źródłaHikmaturokhman, Alfin, Anggun Fitrian Isnawati i Upit Herlina. "Perancangan Cakupan Area Long Term Evolution (LTE) Di Daerah Banyumas". JURNAL INFOTEL - Informatika Telekomunikasi Elektronika 4, nr 2 (10.11.2012): 32. http://dx.doi.org/10.20895/infotel.v4i2.106.
Pełny tekst źródłaVarade, Dr Suchita W. "Design of a Reduced BER Millimetre Waves Model using MIMO and OFDM Communication System". International Journal for Research in Applied Science and Engineering Technology 9, nr VI (14.06.2021): 748–54. http://dx.doi.org/10.22214/ijraset.2021.35078.
Pełny tekst źródłaJaimes-Illanes, Gabriel. "PLANNING AND SIMULATION FOR RADIO ACCESS NETWORKS ON “SMALL CELLS” TECHNOLOGY FOR HETEROGENEOUS ENVIRONMENTS". INVESTIGACION & DESARROLLO 21, nr 1 (31.07.2021). http://dx.doi.org/10.23881/idupbo.021.1-2i.
Pełny tekst źródłaRozprawy doktorskie na temat "UMTS, HSUPA, Capacity Planning"
Liu, Tuo. "Analytical modeling of HSUPA-enabled UMTS networks for capacity planning". University of Sydney, 2009. http://hdl.handle.net/2123/4055.
Pełny tekst źródłaIn recent years, mobile communication networks have experienced significant evolution. The 3G mobile communication system, UMTS, employs WCDMA as the air interface standard, which leads to quite different mobile network planning and dimensioning processes compared with 2G systems. The UMTS system capacity is limited by the received interference at NodeBs due to the unique features of WCDMA, which is denoted as `soft capacity'. Consequently, the key challenge in UMTS radio network planning has been shifted from channel allocation in the channelized 2G systems to blocking and outage probabilities computation under the `cell breathing' effects which are due to the relationship between network coverage and capacity. The interference characterization, especially for the other-cell interference, is one of the most important components in 3G mobile networks planning. This monograph firstly investigates the system behavior in the operation of UMTS uplink, and develops the analytic techniques to model interference and system load as fully-characterized random variables, which can be directly applicable to the performance modeling of such networks. When the analysis progresses from single-cell scenario to multi-cell scenario, as the target SIR oriented power control mechanism is employed for maximum capacity, more sophisticated system operation, `feedback behavior', has emerged, as the interference levels at different cells depend on each other. Such behaviors are also captured into the constructed interference model by iterative and approximation approaches. The models are then extended to cater for the features of the newly introduced HSUPA, which provides enhanced dedicated channels for the packet switched data services such that much higher bandwidth can be achieved for best-effort elastic traffic, which allows network operators to cope with the coexistence of both circuit-switched and packet-switched traffic and guarantee the QoS requirements. During the derivation, we consider various propagation models, traffic models, resource allocation schemes for many possible scenarios, each of which may lead to different analytical models. All the suggested models are validated with either Monte-Carlo simulations or discrete event simulations, where excellent matches between results are always achieved. Furthermore, this monograph studies the optimization-based resource allocation strategies in the UMTS uplink with integrated QoS/best-effort traffic. Optimization techniques, both linear-programming based and non-linear-programming based, are used to determine how much resource should be assigned to each enhanced uplink user in the multi-cell environment where each NodeB possesses full knowledge of the whole network. The system performance under such resource allocation schemes are analyzed and compared via Monte-Carlo simulations, which verifies that the proposed framework may serve as a good estimation and optimal reference to study how systems perform for network operators.
Liu, Tuo. "Analytical modeling of HSUPA-enabled UMTS networks for capacity planning". Thesis, The University of Sydney, 2008. http://hdl.handle.net/2123/4055.
Pełny tekst źródłaLiu, Tuo. "Analytical modeling of HSUPA-enabled UMTS networks for capacity planning". Connect to full text, 2008. http://ses.library.usyd.edu.au/handle/2123/4055.
Pełny tekst źródłaTitle from title screen (viewed February 20, 2009). Includes graphs and tables. Includes list of publications co-authored with others. Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Information Technologies, Faculty of Engineering and Information Technologies. Degree awarded 2009; thesis submitted 2008. Includes bibliographical references. Also available in print form.
García, Lozano Mario. "Contribution to wireless access optimization and dynamic enhancement of WCDMA networks". Doctoral thesis, Universitat Politècnica de Catalunya, 2009. http://hdl.handle.net/10803/22707.
Pełny tekst źródłaThe deployment of 3G/3.5G cellular networks challenges traditional radio planning and optimization strategies. Unlike FDMA based 2G systems, coverage and capacity are tightly coupled and must be treated as a whole. Besides new and more sophisticated Radio Resource Management (RRM) algorithms are present along with a more flexible network with many interdependent parameters, whose joint adjustment is not trivial. A new radio planning paradigm appears in which the radio network is optimized by means of complex algorithms both in a static and a dynamic way. This Ph.D. thesis provides a contribution to the radio network optimization of 3G/3.5G networks. Several issues to improve radio network planning have been investigated and new methods, guidelines and strategies of analysis have been proposed with the final objective of enhancing the wireless access network performance. Dynamic mechanisms being in the blurred line between radio planning and RRM are also devised and studied. The first part of this dissertation deals with the configuration of Base Stations (BSs) the impact of pilot powers, downtilt of antennas and interactions thereof with Soft Handover parameters are investigated. Effects beyond well-known facts are outlined and new planning guidelines are derived. Given the results, an Automatic Planning strategy is devised to automate the configuration of these parameters and to find a combination such as traffic is effectively equalized among cells and a higher capacity is achieved. The technique is based on the Simulated Annealing metaheuristic and is able to improve the global performance of the network, represented by a cost function containing information on the load factor and subject to other quality constraints. The importance of uplink (UL) requirements, usually missed by existent proposals, has been also included and analytically addressed. Reconfiguring BSs is not the only means to modify cell shapes, in this sense the study is extended by introducing repeaters, which allow generating distributed coverage areas. This is the context of the second part of the thesis. New effects not present in FDMA based 2G systems imply that the radio planning process becomes more complex. Most existent papers dealing with repeaters in WCDMA networks, ignore these effects or claim their irrelevance. That is why the research work was focused in modeling them, quantifying their impact and deriving radio planning guidelines to enhance the final performance of the radio access network. The new expression for the feasibility condition has been analytically obtained showing a tradeoff between capacity and coverage. This has been analyzed both theoretically and by means of simulations and the adjustment of several parameters which have a significant impact is discussed to derive practical rules of thumb. Variation on the coverage of the donor cell before and after installing repeaters is also modeled. Subsequently, it is proposed a new methodology to analyze WCDMA networks with repeaters deployment, considering realistically path delays and the behavior of Rake receivers. This allows an enhanced analysis with respect to traditional approaches which, under certain circumstances, tend to provide erroneously optimistic metrics. The final part of the dissertation goes one step further in Automatic Planning and two dynamic mechanisms are proposed and validated so that the network can react and self tune in front of changes in traffic conditions. The first one follows some previous conclusions and aims at detecting if one of the links has capacity problems and if so, favors it to delay congestion control actions. Finally, HSDPA technology is introduced and, after analyzing the resources to be shared with a previous release of UMTS, it is concluded that a system that dynamically manages the OVSF code tree is desired. A mechanism aiming at maximizing cell throughput while guaranteeing blocking and dropping criteria is proposed and validated.
Geerdes, Hans-Florian. "UMTS radio network planning : mastering cell coupling for capacity optimization /". Wiesbaden : Vieweg + Teubner, 2008. http://d-nb.info/990120074/04.
Pełny tekst źródłaMontenegro, Manuel David Fonseca. "Capacity forecasting for radio access networks". Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/15782.
Pełny tekst źródłaThe mobile networks market (focus of this work) strategy is based on the consolidation of the installed structure and the optimization of the already existent resources. The increasingly competition and aggression of this market requires, to the mobile operators, a continuous maintenance and update of the networks in order to obtain the minimum number of fails and provide the best experience for its subscribers. In this context, this dissertation presents a study aiming to assist the mobile operators improving future network modifications. In overview, this dissertation compares several forecasting methods (mostly based on time series analysis) capable of support mobile operators with their network planning. Moreover, it presents several network indicators about the more common bottlenecks.
A estratégia comum dos operadores no mercado das redes móveis (área onde este trabalho se debruça) passa por uma consolidação da sua rede base já instalada e pela otimização dos recursos já existentes. A crescente competitividade e agressividade deste mercado obrigam a que os operadores mantenham a sua rede atualizada e com o menor número de falhas possível, com a finalidade de oferecer a melhor experiência aos seus utilizadores. Neste contexto, esta dissertação apresenta um estudo que auxilia os operadores a aperfeiçoar futuras alterações na sua rede. De um modo geral, esta dissertação compara alguns métodos de previsão (baseados maioritariamente na análise de séries temporais) capazes de assistir os operadores no planeamento da sua rede e ainda apresenta alguns indicadores de rede onde as limitações de desempenho são mais frequentes.
Książki na temat "UMTS, HSUPA, Capacity Planning"
Geerdes, Hans-Florian. UMTS Radio Network Planning: Mastering Cell Coupling for Capacity Optimization. Wiesbaden: Vieweg+Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2008.
Znajdź pełny tekst źródłaUMTS Radio Network Planning: Mastering Cell Coupling for Capacity Optimization. Wiesbaden: Vieweg+Teubner, 2008. http://dx.doi.org/10.1007/978-3-8348-9260-7.
Pełny tekst źródłaCzęści książek na temat "UMTS, HSUPA, Capacity Planning"
Frederiksen, Frank, Harri Holma, Troels Kolding i Klaus Pedersen. "HSDPA bit rates, capacity and coverage". W HSDPA/HSUPA for UMTS, 123–65. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470032634.ch7.
Pełny tekst źródłaJaatinen, Jussi, Harri Holma, Claudio Rosa i Jeroen Wigard. "HSUPA bit rates, capacity and coverage". W HSDPA/HSUPA for UMTS, 167–86. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470032634.ch8.
Pełny tekst źródłaChevallier, Christophe. "Capacity Planning and Optimization". W WCDMA (UMTS) Deployment Handbook, 73–113. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470035749.ch3.
Pełny tekst źródłaGeerdes, Hans-Florian. "UMTS Radio Network Planning: Mastering Cell Coupling for Capacity Optimization". W Kommunikation in Verteilten Systemen (KiVS), 319. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92666-5_30.
Pełny tekst źródłaZola, E., i F. Barceló. "Planning the Base Station Layout in UMTS Urban Scenarios: A Simulation Approach to Coverage and Capacity Estimation". W Telecommunications and Networking - ICT 2004, 932–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27824-5_122.
Pełny tekst źródłaMasmoudi, Anis, i Tarek Bejaoui. "Capacity, Coverage Planning and Dimensioning for HSPA". W Evolved Cellular Network Planning and Optimization for UMTS and LTE, 231–63. CRC Press, 2010. http://dx.doi.org/10.1201/9781439806500-10.
Pełny tekst źródła"Capacity, Coverage Planning, and Dimensioning for HSPA". W Evolved Cellular Network Planning and Optimization for UMTS and LTE, 241–74. CRC Press, 2010. http://dx.doi.org/10.1201/9781439806500-11.
Pełny tekst źródłaBraithwaite, Chris, i Mike Scott. "Capacity and Network Planning". W UMTS Network Planning and Development, 41–42. Elsevier, 2003. http://dx.doi.org/10.1016/b978-075066082-2/50057-x.
Pełny tekst źródła"Teletraffic Engineering for HSDPA and HSUPA Cells". W Evolved Cellular Network Planning and Optimization for UMTS and LTE, 307–40. CRC Press, 2010. http://dx.doi.org/10.1201/9781439806500-13.
Pełny tekst źródła"Means to Enhance Radio Coverage and Capacity". W UMTS Network Planning, Optimization, and Inter-Operation with GSM, 175–89. Singapore: John Wiley & Sons (Asia) Pte Ltd, 2009. http://dx.doi.org/10.1002/9780470823033.ch10.
Pełny tekst źródłaStreszczenia konferencji na temat "UMTS, HSUPA, Capacity Planning"
Lister, D. "UMTS capacity and planning issues". W First International Conference on 3G Mobile Communication Technologies. IEE, 2000. http://dx.doi.org/10.1049/cp:20000046.
Pełny tekst źródłaZhao, L., M. Koonert, A. Timm-Giel i C. Gorg. "Highly Efficient Simulation Approach for the Network Planning of HSUPA in UMTS". W 2008 IEEE Vehicular Technology Conference (VTC 2008-Spring). IEEE, 2008. http://dx.doi.org/10.1109/vetecs.2008.466.
Pełny tekst źródłaJamaa, S. B., Z. Altman, J. M. Picard i B. Fourestie. "Combined coverage and capacity optimisation for UMTS networks". W 11th International Telecommunications Network Strategy and Planning Symposium. IEEE, 2004. http://dx.doi.org/10.1109/netwks.2004.240881.
Pełny tekst źródłaDjukanovic, Goran, i Dalibor Ilic. "Macrocell capacity and coverage planning for UMTS in GSM frequency band". W 2012 IX International Symposium on Telecommunications (BIHTEL). IEEE, 2012. http://dx.doi.org/10.1109/bihtel.2012.6412061.
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