Wireless operators adopting third-generation (3G) technologies and those migrating from second-generation (2G) to 3G face a number of challenges related to traffic modeling, demand characterization, and performance analysis, which are key elements in the processes of designing, dimensioning and optimizing their network infrastructure. Traditional traffic modeling assumptions used for circuit-switched voice traffic no longer hold true with the convergence of voice and data over packet-switched infrastructures. Self-similar models need to be explored to appropriately account for the burstiness that packet traffic is expected to exhibit in all time scales. The task of demand characterization must include an accurate description of the multiple user profiles and service classes the network is expected to support, with their distinct geographical distributions, as well as forecasts of how the market should evolve over near and medium terms. The appropriate assessment of the quality of service becomes a more complex issue as new metrics and more intricate dependencies have to be considered when providing a varying range of services and applications that include voice, real-time, and non-real time data. All those points have to be considered by the operator to obtain a proper dimensioning, resource allocation, and rollout plan for system deployment. Additionally, any practical optimization strategy has to rely on accurate estimates of expected demand and growth in demand. In this research, we propose a practical framework to characterize the traffic offered to multimedia wireless systems that allows proper dimensioning and optimization of the system for a particular demand scenario. The framework proposed includes a methodology to quantitatively and qualitatively describe the traffic offered to multimedia wireless systems, solutions to model that traffic as practical inputs for simulation analysis, and investigation of demand-sensitive techniques for system dimensioning and performance optimization. We consider both theoretical and practical aspects related to the dimensioning of hybrid traffic (voice and data) for mobile wireless networks. We start by discussing wireless systems and traffic theory, with characterization of the main metrics and models that describe the users’ voice and data demand, presenting a review of the most recent developments in the area. The concept of service class is used to specify parameters that depend on the application type, performance requirements and traffic characteristics for a given service. Then we present the concept of “user profile,“ which ties together a given combination of service class, propagation environment and terminal type. Next, we propose a practical approach to explore the dynamics of user geographical distribution in creating multi-service, multi-class traffic layers that serve as input for network traffic simulation algorithms. The concept of quality-of-service (QoS) is also discussed, focusing on the physical layer for 3G systems. We explore system simulation as a way to dimension a system given its traffic demand characterization. In that context, we propose techniques to translate geographical distributions of user profiles into the actual number of active users of each layer, which is the key parameter to be used as input in simulations. System level simulations are executed for UMTS systems, with the purpose of validating the methodology proposed here. We complete the proposed framework by applying all elements together in the process of dimensioning and optimization of 3G wireless networks using the demand characterization for the system as input. We investigate the effects of modifying some elements in the system configuration such as network topology, radio-frequency (RF) configuration, and radio resource management (RRM) parameters, using strategies that are sensitive to traffic geographical distribution. Case study simulations are performed for Universal Mobile Telecommunications System (UMTS) networks, and multiple system variables (such as antenna tilts, pilot powers, and RRM parameters) are optimized using traffic sensitive strategies, which result in significant improvements in the overall system capacity and performance. Results obtained in the case studies, allied to a generic discussion of the trade-offs involved in the proposed framework, demonstrate the close dependence between the processes of system dimensioning and optimization with the accurate modeling of traffic demand offered to the system. / Ph. D.

O objetivo deste trabalho é utilizar o método do tráfego aleatório equivalente para analisar e dimensionar redes ópticas sem comutação para arquitetura de nível único. Uma modelagem analítica, baseada nesse método, que possibilita otimizar os parâmetros da rede considerando padrões mínimos de desempenho é descrita. A rede em estudo utiliza apenas um nó, onde se realizam as funções de roteamento passivo. Em anexo ao nó existem seqüências de conversores de comprimentos de onda gerenciados por um controlador de rede. A estrutura da rede consiste de um certo número de redes ópticas passivas (PONs) conectadas às portas do nó. Essas PONs são distribuídas pela área geográfica onde estão os clientes a serem atendidos. O acesso ao meio constituído pelas PONs é disciplinado por meio da utilização de um esquema WDMA / TDMA administrado pelo controlador de rede. Os comprimentos de onda pertinentes a cada PON conectada a uma porta de entrada do nó são alocados de tal forma que cada um deles se direciona a uma diferente porta de saída e, por conseguinte, a uma diferente PON de destino. Uma conexão entre dois terminais é estabelecida pela seleção de um intervalo de tempo (slot de tempo) pertinente ao comprimento de onda que conecta suas respectivas PONs através do nó. Caso esse comprimento de onda já esteja com sua capacidade plenamente utilizada, conexões adicionais podem ser estabelecidas utilizando-se um comprimento de onda direcionado a uma seqüência de conversores de comprimentos de onda anexa ao nó. Após a conversão, é utilizado outro comprimento de onda que é direcionado pelo nó à PON de destino. A modelagem analítica investigada é utilizada para obter as relações entre os parâmetros da rede, possibilitando a escolha dos seus melhores valores. / The purpose of this work is to use the equivalent random traffic method for analysis and dimensioning of switchless optical networks for single-layer architecture. This work reports an analytical model that allows the network dimensioning according to some relevant design parameters and the required system performance. The analyzed network is based on a single node providing passive routing functions. Wavelength converter arrays, controlled by a network controller, are added in the node. The network structure consists of a set of passive optical networks (PONs) connected to the node ports. Those PONs are distributed along the geographical area where the customers to be assisted are. The access to the medium constituted by the PONs is disciplined through the use of a WDMA / TDMA scheme administered by the network controller. The pertinent wavelengths to each PON connected to an input port of the node are allocated in such a way that each one is addressed to a different output port and, consequently, to a different destination PON. A connection between two terminals is set up by the selection of a time slot pertinent to the wavelength that connects its respective PONs through the node. If the capacity of the wavelength is fully used, additional connections can be established by the use of wavelength directed to a wavelength converter array enclosed to the node. After the conversion, another wavelength addressed by the node to the destination PON is used. The connections achieved between the network parameters are detailed to allow the choice of the best network parameters.

O objetivo deste trabalho é utilizar o método do tráfego aleatório equivalente para analisar e dimensionar redes ópticas sem comutação para arquitetura de nível único. Uma modelagem analítica, baseada nesse método, que possibilita otimizar os parâmetros da rede considerando padrões mínimos de desempenho é descrita. A rede em estudo utiliza apenas um nó, onde se realizam as funções de roteamento passivo. Em anexo ao nó existem seqüências de conversores de comprimentos de onda gerenciados por um controlador de rede. A estrutura da rede consiste de um certo número de redes ópticas passivas (PONs) conectadas às portas do nó. Essas PONs são distribuídas pela área geográfica onde estão os clientes a serem atendidos. O acesso ao meio constituído pelas PONs é disciplinado por meio da utilização de um esquema WDMA / TDMA administrado pelo controlador de rede. Os comprimentos de onda pertinentes a cada PON conectada a uma porta de entrada do nó são alocados de tal forma que cada um deles se direciona a uma diferente porta de saída e, por conseguinte, a uma diferente PON de destino. Uma conexão entre dois terminais é estabelecida pela seleção de um intervalo de tempo (slot de tempo) pertinente ao comprimento de onda que conecta suas respectivas PONs através do nó. Caso esse comprimento de onda já esteja com sua capacidade plenamente utilizada, conexões adicionais podem ser estabelecidas utilizando-se um comprimento de onda direcionado a uma seqüência de conversores de comprimentos de onda anexa ao nó. Após a conversão, é utilizado outro comprimento de onda que é direcionado pelo nó à PON de destino. A modelagem analítica investigada é utilizada para obter as relações entre os parâmetros da rede, possibilitando a escolha dos seus melhores valores. / The purpose of this work is to use the equivalent random traffic method for analysis and dimensioning of switchless optical networks for single-layer architecture. This work reports an analytical model that allows the network dimensioning according to some relevant design parameters and the required system performance. The analyzed network is based on a single node providing passive routing functions. Wavelength converter arrays, controlled by a network controller, are added in the node. The network structure consists of a set of passive optical networks (PONs) connected to the node ports. Those PONs are distributed along the geographical area where the customers to be assisted are. The access to the medium constituted by the PONs is disciplined through the use of a WDMA / TDMA scheme administered by the network controller. The pertinent wavelengths to each PON connected to an input port of the node are allocated in such a way that each one is addressed to a different output port and, consequently, to a different destination PON. A connection between two terminals is set up by the selection of a time slot pertinent to the wavelength that connects its respective PONs through the node. If the capacity of the wavelength is fully used, additional connections can be established by the use of wavelength directed to a wavelength converter array enclosed to the node. After the conversion, another wavelength addressed by the node to the destination PON is used. The connections achieved between the network parameters are detailed to allow the choice of the best network parameters.

No description available.

In this study, we considered a heterogeneous, clustered WSN, which consists of two types of nodes (clusterheads and sensor nodes) deployed randomly over a sensing field. We investigated two cases based on how clusterheads can reach the sink: direct and multi-hop communication cases. Network dimensioning problems in randomly deployed WSNs are among the most challenging ones as the attributes of these networks are mostly non-deterministic. We focused on a number of network dimensioning problems based on the connected coverage concept, which is the degree of coverage achieved by only the connected devices. To evaluate connected coverage, we introduced the term cluster size, which is the expected value of the area covered by a clusterhead together with sensor nodes connected to it. We derived formulas for the cluster size and validated them by computer simulations. By using the cluster size formulas, we proposed a method to dimension a WSN for given targeted connected coverage. Furthermore, we formulated cost optimization problems for direct and multi-hop communication cases. These formulations utilize not only cluster size formulas but also the well-connectivity concept. We suggested some search heuristics to solve these optimization problems. Additionally, we justified that, in practical cases, node heterogeneity can provide lower cost solutions. We also investigated the lifetime of WSNs and for mulated a cost optimization problem with connected coverage and lifetime constraints. By solving this optimization problem, one can determine the number of nodes of each type and the initial energies of each type of node that leads to lowest cost solution while satisfying the minimum connected coverage and minimum lifetime requirements.

No description available.

This thesis is a techno-economic study focus on the IoT connectivity service field. It describes the specifications of LPWAN, LPLAN, and Cellular-IoT technologies. The analysis method of dimensioning and cost structure calculation of IoT network is enhanced from previous wireless network research, which is also a research gap in the telecom industry. By using this method, the dimensioning results and cost structure performances can be obtained when having the inputs of the scenario. The results are compared among SigFox, LoRaWAN, NB-IoT, LTE-M, EC-GSM-IoT, and WiFi-HaLow. Furthermore, we find out the cost driver of different technologies. When it comes to different actors, a new market entrant or an incumbent, the strategies taken by the actors are compared. They are building own sites or leasing sites from other actors, even reusing sites if possible. The contribution of this thesis is pointing out the dimensioning and cost structure calculation method of deploying IoT connectivity. Another contribution is comparing the cost performance and figuring out the cost driver. SigFox is costefficient for low capacity scenario, while LTE-M is of good cost performance for high capacity cases. The cost driver is operation and maintenance cost and site build cost. By leasing and reusing sites, the site build cost can be largely reduced. / Denna avhandling har ett ekonomiskt och tekniskt perspektiv på anslutningstjänsten IoT. Den beskriver specifikationerna för LPWAN, LPLAN och Cellular-IoT teknik. Analysmetoden för dimensionering och beräkning av kostnadsstruktur av IoT-nätet har förbättrats jämfört med tidigare trådlös nätverksforskning, vilket i sig är ett område som saknar tillräcklig forskning inom telekombranschen. Genom att använda den här metoden kan dimensioneringens resultat och prestandan av kostnadsstrukturen erhållas när indata finns tillgängligt för olika fall/scenarion. Resultaten jämförs bland SigFox, LoRaWAN, NB-IoT, LTE-M, EC-GSM-IoT och WiFi-HaLow. Dessutom hittar vi kostnadsdrivaren av olika teknologier. När det gäller olika aktörer, en ny marknadsaktör eller en etablerad aktör, jämförs de olika strategier som aktörerna använder. De bygger egna basstationer eller leasar basstationer från andra aktörer, och i vissa fall även återanvändning av basstationer om så är möjligt. Denna avhandling bidrar till att peka ut beräkningsmetoden för dimensioneringen och kostnadsstruktur av att bygga ut IoT-anslutningar. En annan slutsats är jämförelsen av kostnadseffektiviteten mellan olika teknologier och att komma underfund med kostnadsdrivaren. SigFox är kostnadseffektiv i fallen där kapaciteten är låg, medan LTE-M har bra kostnadseffektivitet i fallen där kapaciteten är hög. Kostnadsdrivaren är driftoch underhållskostnad samt kostnad för konstruktionen av byggplatsen. Genom att leasa och återanvända basstationer kan kostanden för konstruktionen av byggplatsen minskas till en stor del.

Mobile data traffic is expected to increase substantially in the coming years, with data rates 1000 times higher by 2020, having media and content as the main drivers together with a plethora of new end-user services that will challenge existing networks. Concepts and visions associated with the ICT evolution like the network society, 50 billion connected devices, Industrial Internet, Tactile Internet, etc., exemplifies the range of new services that the networks will have to handle. These new services impose extreme requirement to the network like high capacity, low latency, reliability, security, seamless connectivity, etc. In order to face these challenges, the whole end-to-end network has to evolve and adapt, pushing for advances in different areas, such as transport, cloud, core, and radio access networks. This work investigates the impact of envisioned 2020 society scenarios on transport links for mobile backhaul, emphasizing the need for an integrated and flexible/adaptive network as the way to meet the 2020 networks demands. The evolution of heterogeneous networks and ultra-dense network deployments shall also comprise the introduction of adaptive network features, such as dynamic network resource allocation, automatic integration of access nodes, etc. In order to achieve such self-management features in mobile networks, new mechanisms have to be investigated for an integrated backhaul management. First, this thesis performs a feasibility study on the mobile backhaul dimensioning for 2020 5G wireless ultra-dense networks scenarios, aiming to analyze the gap in capacity demand between 4G and 5G networks. Secondly, the concept of an integrated backhaul management is analyzed as a combination of node attachment procedures, in the context of moving networks. In addition, the dynamic network resource allocation concept, based on DWDM-centric transport architecture, was explored for 5G scenarios assuming traffic variation both in time and between different geographical areas. Finally, a short view on techno-economics and network deployments in the 2020 time frame is provided.

Avec la croissance exponentielle du trafic lié au développement de la vidéo et des services d’Internet, les systèmes WDM évoluent régulièrement pour augmenter la capacité de la fibre optique. Pour atteindre cet objectif, les concepts d’«élasticité» et de grille WDM flexible ont été introduits et ont conduit au développement de nouveaux équipements optiques. Dans le cadre des réseaux flexibles, le dimensionnement de réseaux se complexifie, et les outils de dimensionnement traditionnels doivent être repensés. De plus, des problèmes stratégiques et technologiques apparaissent avec l’arrivée de ce nouveau concept. Presque tous les équipements optiques doivent être remplacés par d’autres mieux adaptés, entraînant un coût de déploiement additionnel. Ce travail propose et implémente des nouveaux outils mathématiques et logiciels de dimensionnement multicouche des réseaux optiques flexibles. Des cas d’usage intéressants à étudier dans le cadre des réseaux flexibles sont aussi identifiés et proposés dans cette thèse. De même, ce travail traite les problèmes principaux émanant de la flexibilité optique. De façon plus spécifique, nous étudions le problème de la fragmentation du spectre WDM flexible dans les réseaux d’opérateurs et proposons des solutions. De plus, nous proposons et évaluons un cas d’usage qui combine l’élasticité et la restauration optique du trafic dans un contexte multicouche. Enfin, nous identifions et proposons une solution au problème lié à l’utilisation des amplificateurs optiques dans les réseaux flexibles / With the exponential growth of traffic driven by video and Internet services, WDM systems evolve regularly to increase optical fiber capacity. To meet the relentless need for capacity, advanced features have been integrated into optical layer leading to the notion of channel flexibility (datarate elasticity, flex-grid). In contrast, with the potential benefits that optical channel flexibility provides, network dimensioning gets even more complicated, and traditional dimensioning tools should be rethought. Moreover, some strategic and technological problems appear with optical layer flexibility. Almost, all legacy equipment in the optical layer needs to be replaced by greenfield and well-adapted equipment, which requires new investments. Furthermore, spectrum fragmentation has been identified as the main disadvantage of optical layer flexibility. This work proposes and implements different mathematical multilayer tools for network dimensioning with the aim of evaluating optical layer flexibility. It identifies profitable and advantageous use cases and networking scenarios that bring forward the interest of flex-grid and elasticity. This work also deals with the potential troubles of flexibility and provides solutions to them. Specifically, we thoroughly investigate spectrum fragmentation in operator network context, and propose some traffic engineering strategies. We propose and evaluate a new use case that combines datarate elasticity and optical restoration within a multilayer context. Finally, we state a new drawback of flex-grid technology regarding the use of legacy optical amplifiers with flex-grid networks and provide a solution to overcome this problem