Dissertations / Theses on the topic '5G and IPTV Integration'

The recent technological advances in the satellite domain such as the use of High Throughput Satellites (HTS) with throughput rates that are magnitudes higher than with previous ones, or the use of large non- Geostationary Earth Orbit (GEO) satellites constellations, etc, are reducing the price per bit and enhancing the Quality of Service (QoS) metrics such as latency, etc., changing the way that the capacity is being brought to the market and making it more attractive for other services such as satellite broadband communications. These new capabilities coupled with the advantages offered by satellite communications such as the unique wide-scale geographical coverage, inherent broadcast/multicast capabilities and highly reliable connectivity, anticipate new opportunities for the integration of the satellite component into the 5G ecosystem. One of the most compelling scenarios is mobile backhauling, where satellite capacity can be used to complement the terrestrial backhauling infrastructure, not only in hard to reach areas, but also for more efficient traffic delivery to Radio Access Network (RAN) nodes, increased resiliency and better support for fast, temporary cell deployments and moving cells. In this context, this thesis work focuses on achieving better satellite-terrestrial backhaul network integration through the development of Traffic Engineering (TE) strategies to manage in a better way the dynamically steerable satellite provisioned capacity. To do this, this thesis work first takes the steps in the definition of an architectural framework that enables a better satellite-terrestrial mobile backhaul network integration, managing the satellite capacity as a constituent part of a Software Defined Networking (SDN) -based TE for mobile backhaul network. Under this basis, this thesis work first proposes and assesses a model for the analysis of capacity and traffic management strategies for hybrid satellite-terrestrial mobile backhauling networks that rely on SDN for fine-grained traffic steering. The performance analysis is carried out in terms of capacity gains that can be achieved when the satellite backhaul capacity is used for traffic overflow, taking into account the placement of the satellite capacity at different traffic aggregation levels and considering a spatial correlation of the traffic demand. Later, the thesis work presents the development of SDN-based TE strategies and algorithms that exploits the dynamically steerable satellite capacity provisioned for resilience purposes to better utilize the satellite capacity by maximizing the network utility under both failure and non-failure conditions in some terrestrial links, under the consideration of elastic, inelastic and unicast and multicast traffic. The performance analysis is carried out in terms of global network utility, fairness and connexion rejection rates compared to non SDN-based TE applications. Finally, sustained in the defined architectural framework designs, the thesis work presents an experimental Proof of Concept (PoC) and validation of a satellite-terrestrial backhaul links integration solution that builts upon SDN technologies for the realization of End-to-End (E2E) TE applications in mobile backhauling networks with a satellite component, assessing the feasibility of the proposed SDN-based integration solution under a practical laboratory setting that combines the use of commercial, experimentation-oriented and emulation equipment and software.<br>Los recientes avances tecnológicos en el dominio de los satélites, como el uso de satélites de alto rendimiento (HTS) con tasas de rendimiento que son magnitudes más altas que los anteriores, o el uso de grandes constelaciones de satélites de órbita no geoestacionaria (GEO), etc. están reduciendo el precio por bit y mejorando las métricas de Calidad de Servicio (QoS) como la latencia, etc., cambiando la forma en que la capacidad se está llevando al mercado, y haciéndola más atractiva para otros servicios como las comunicaciones de banda ancha por satélite. Estas nuevas capacidades, junto con las ventajas ofrecidas por las comunicaciones por satélite, como la cobertura geográfica a gran escala, las inherentes capacidades de difusión / multidifusión y la conectividad altamente confiable, anticipan nuevas oportunidades para la integración de la componente satelital al ecosistema 5G. Uno de los escenarios más atractivos es el backhauling móvil, donde la capacidad del satélite se puede usar para complementar la infraestructura de backhauling terrestre, no solo en áreas de difícil acceso, sino también para la entrega de tráfico de manera más eficiente a los nodos de la Red de Acceso (RAN), una mayor resiliencia y mejor soporte para implementaciones rápidas y temporales de células, así como células en movimiento. En este contexto, este trabajo de tesis se centra en lograr una mejor integración de la red híbrida de backhaul satélital-terrestre, a través del desarrollo de estrategias de ingeniería de tráfico (TE) para gestionar de una mejor manera la capacidad dinámicamente orientable del satélite. Para hacer esto, este trabajo de tesis primero toma los pasos en la definición de un marco de arquitectura que permite una mejor integración de una red híbrida satelital-terrestre de backhaul móvil, gestionando la capacidad del satélite como parte constitutiva de un TE basado en Software Defined Networking (SDN). Bajo esta base, este trabajo de tesis primero propone y evalúa un modelo para el análisis de la capacidad y las estrategias de gestión del tráfico para redes híbridas satelital-terrestre de backhaul móvil basadas en SDN para la dirección de tráfico. El análisis de rendimiento se lleva a cabo en términos de aumento de capacidad que se puede lograr cuando la capacidad de la red de backhaul por satélite se utiliza para el desborde de tráfico, teniendo en cuenta la ubicación de la capacidad del satélite en diferentes niveles de agregación de tráfico y considerando una correlación espacial de la demanda de tráfico. Posteriormente, el trabajo de tesis presenta el desarrollo de estrategias y algoritmos de TE basados en SDN que explotan la capacidad dinámicamente orientable del satelite, provista con fines de resiliencia para utilizar de mejor manera la capacidad satelital al maximizar la utilidad de red en condiciones de falla y no falla en algunos enlaces terrestres, y bajo la consideración de tráfico elástico, inelástico y de unidifusión y multidifusión. El análisis de rendimiento se lleva a cabo en términos de tasas de rechazo, de utilidad, y equidad en comparación con las aplicaciones de TE no basadas en SDN. Finalmente, basado en la definición del diseño de marco de arquitectura, el trabajo de tesis presenta una Prueba de concepto (PoC) experimental y la validación de una solución de integración de enlaces de backhaul satelital-terrestre que se basa en las tecnologías SDN para la realización de aplicaciones de TE de extremo a extremo (E2E) en redes de backhaul móviles, evaluando la viabilidad de la solución propuesta de integración basada en SDN en un entorno práctico de laboratorio que combina el uso de equipos y software comerciales, orientados a la experimentación y emulación.

Network densification has become a dominant theme for capacity enhancement in cellular networks. However, it increases the operational complexity and expenditure for mobile network operators. Consequently, the essential features of Self-Organising Networks (SON) are considered to ensure the economic viability of the emerging cellular networks. This thesis focuses on quantifying the benefits of self-organisation in Cloud Radio Access Network (C-RAN) by proposing a flexible, energy efficient, and capacity optimised system. The Base Band Unit (BBU) and Remote Radio Head (RRH) map is formulated as an optimisation problem. A self-optimised C-RAN (SOCRAN) is proposed which hosts Genetic Algorithm (GA) and Discrete-Particle-Swarm-Optimisation algorithm (DPSO), developed for optimisation. Computational results based on different network scenarios demonstrate that DPSO delivers excellent performances for the key performance indicators compared to GA. The percentage of blocked users is reduced from 10.523% to 0.409% in a medium sized network scenario and 5.394% to 0.56% in a vast network scenario. Furthermore, an efficient resource utilisation scheme is proposed based on the concept of Cell Differentiation and Integration (CDI). The two-stage CDI scheme semi-statically scales the number of BBUs and RRHs to serve an offered load and dynamically defines the optimum BBU-RRH mapping to avoid unbalanced network scenarios. Computational results demonstrate significant throughput improvement in a CDI-enabled C-RAN compared to a fixed C-RAN, i.e., an average throughput increase of 45.53% and an average blocked users decrease of 23.149% is experienced. A power model is proposed to estimate the overall power consumption of C-RAN. Approximately 16% power reduction is calculated in a CDI-enabled C-RAN when compared to a fixed C-RAN, both serving the same geographical area. Moreover, a Divide-and-Sort load balancing scheme is proposed and compared to the SOCRAN scheme. Results show excellent performances by the Divide-and-Sort algorithm in small networks when compared to SOCRAN and K-mean clustering algorithm.

Message Passing Systems (MPS) is today a widely used architecture for distributed embedded systems, where components communicate by sending and receiving messages. Integration testing a system using MPS with a many-to-many relationship can be demanding as both the time and the order in which  messages are delivered depend on the execution environment. The non-deterministicness can lead to message race faults, where the order of messages can result in false truths. If a test cannot continue execution until the response has been received, it can potentially lead to a message deadlock. Google Test is a popular framework for testing code written in C/C++; it features a rich set of assertions and fatal and non-fatal failures. This paper presents guidelines on how to test a non-deterministic message order in an MPS system using additions to the Google Test framework. From studies a set of solutions were brought forward. Each solution was evaluated with the use of a minimalistic MPS system that we constructed for the task, and the guidelines are based upon the results of these.

Microsoft Mediaroom Internet Protocol TeleVision (MS IPTV), one of the platforms for digital TV, took television to an all new dimension level. MS IPTV is described as a system where a digital television service is delivered to consumers using the Internet Protocol over a broadband connection. Since the infrastructure started to gain complexity and exposure to a number of new risks, never envisaged situations related to television security started to appear. For this reason, MS IPTV security is not only a great asset, but also a necessity. Nowadays it is mandatory to sharpen the wit to get ahead of attackers, who are always waiting for a breach to compromise our systems. MS IPTV log servers collect information about user and system behavior. However, this information only becomes relevant if it can be queried and analyzed with the purpose of providing high-level understanding about the different patterns. This task must comprise powerful data parsing techniques, since MS IPTV is able to generate close to one terabyte of logs per day. This thesis presents an approach that combines data parsing techniques in order to analyze relevant MS IPTV logs, with the main objective to increase security through the investigation of what type of additional information can be extracted from the server log files of a MS IPTV platform. The thesis focus is on diagnosis, trying to understand if it is possible to determine what type of attacks are being perpetrated against the MS IPTV infrastructure. We propose an approach for discovering attacks, where the application logs are scanned to identify coherent groups of occurrences that we call patterns, which are likely to constitute attacks. Our results showed that our approach achieves good results in discovering potential attacks. Our output results can be integrated into the MS IPTV monitoring system tool SCOM (System Center Operations Manager), which is an additional advantage over the other monitoring and log management systems.

The wide adoption of an NFV-oriented paradigm by network operators proves the importance of NFV in the future of communication networks. This paradigm allows network operators to speed up the development process of their services, decoupling hardware from the functionalities provided by these services. However, since NFV has only been recently globally adopted, several questions and difficulties arose. Network operators need to ensure the reliability and the correct behavior of their Virtualized Network Functions, which poses severe challenges. Thus, the need for developing new validation tools, which are capable of validating network functions that live in an NFV ecosystem. 5GASP is a European project which aims to shorten the idea-to-market process by creating a fully automated and selfservice 5G testbed and providing support tools for Continuous Integration in a secure and trusted environment, addressing the DevOps paradigm. Being aligned with 5GASP’s goals, this dissertation mainly addresses the development of tools to validate NetApps. To accomplish this, this document introduces two different mechanisms for validating NetApps. The first tool is responsible for statically validate the NetApps before they are deployed in 5GASP’s testbeds, being denominated by NetApp Package Validator. Regarding this tool, during this document the focus is its Descriptors Validator Module, which validates the NetApp descriptors through syntactic, semantics, and reference validation and supports NetApps developed according to different Information Models. The second tool comprises an automated validation pipeline. This pipeline validates the functionality and the behavior of the NetApps once they are deployed in a 5G-testbed. Besides, it collects several metrics to enable a better understanding of the NetApp’s behavior. Both tools are expected to be integrated with the 5GASP’s ecosystem. This document presents the requirements definition, architecture, and implementation of these tools and presents their results and outputs.<br>The wide adoption of an NFV-oriented paradigm by network operators proves the importance of NFV in the future of communication networks. This paradigm allows network operators to speed up the development process of their services, decoupling hardware from the functionalities provided by these services. However, since NFV has only been recently globally adopted, several questions and difficulties arose. Network operators need to ensure the reliability and the correct behavior of their Virtualized Network Functions, which poses severe challenges. Thus, the need for developing new validation tools, which are capable of validating network functions that live in an NFV ecosystem. 5GASP is a European project which aims to shorten the idea-to-market process by creating a fully automated and selfservice 5G testbed and providing support tools for Continuous Integration in a secure and trusted environment, addressing the DevOps paradigm. Being aligned with 5GASP’s goals, this dissertation mainly addresses the development of tools to validate NetApps. To accomplish this, this document introduces two different mechanisms for validating NetApps. The first tool is responsible for statically validate the NetApps before they are deployed in 5GASP’s testbeds, being denominated by NetApp Package Validator. Regarding this tool, during this document the focus is its Descriptors Validator Module, which validates the NetApp descriptors through syntactic, semantics, and reference validation and supports NetApps developed according to different Information Models. The second tool comprises an automated validation pipeline. This pipeline validates the functionality and the behavior of the NetApps once they are deployed in a 5G-testbed. Besides, it collects several metrics to enable a better understanding of the NetApp’s behavior. Both tools are expected to be integrated with the 5GASP’s ecosystem. This document presents the requirements definition, architecture, and implementation of these tools and presents their results and outputs.<br>Mestrado em Engenharia Informática

No<br>5th Generation mobile networks (5G) and mobile communications technologies beyond 2020 will need to be energy aware so as to support services that are likely to be intelligent and bandwidth hungry, as well as to support multi-mode operation (LTE, LTE+, HSDPA, 3G among others) in a HetNet environment. This imposes stringent design requirements on the RF transceiver, a key consumer of power in networks today. This chapter will investigate the key RF subsystems forming part of the 5G RF transceiver, where energy efficiency and full radio flexibility are at the forefront of system design. In particular, we target advanced designs on antenna systems, RF power amplifiers and the challenges facing cross-talk in MIMO architectures.

碩士<br>國立臺灣大學<br>電信工程學研究所<br>106<br>There are many researches on frond-end mixer at millimeter-wave for developing 5G wireless system and satellite communication in recent years. With bandwidth becoming greater, the wireless communication system can provide multiple Gbps of data rates. In wireless transceiver system, mixer is a key component and its linearity is always the crucial issue for transmitter design. The demand of high-speed transmission has motivated the designers to explore millimeter-wave (MMW) frequency with broader bandwidth and higher linearity for communication system applications. This thesis is divided into three parts. The first part presents the research on improvement of linearity for RF frond-end mixer. Two Ka-band up-conversion mixers are fabricated in 0.18-μm CMOS process with LO boosting linearization technique, which improves linear output power and conversion gain of up-conversion mixer in communication system. The resistive sub-harmonic mixer provides an improvement of OP1dB with 7.9 dB and conversion gain with 1.2 dB. The resistive fundamental mixer achieves a high OP1dB of –2.7 dBm and conversion gain of –8.5 dB without complicated circuit of linearization in the desired frequencies. The second part of the thesis is the proposed 19 GHz single-sideband down conversion mixer with poly-phase filter integration in 0.18-μm CMOS technology. With the compensation lines and inductors used in LO four-way quadrature splitter, the performance of IQ imbalance and 90-degree phase delay can be improved effectively, resulting in higher sideband suppression in operated frequencies. The down-conversion mixer has a flatness conversion gain of –15±1 dB from RF frequency of 15 to 22 GHz, and sideband suppression ratio of 30 dBc from 17.5 to 21 GHz. In the last section, a research of phased-array receiver system integration for satellite communication is reported. The single chips are integrated with each other in the first step, and all the small integration circuits in four-way phased-array system will be modularized. With packaging in these chips, some problems with modularization are taken into consideration. For example, wire bonding effect, off-chip bypass capacitors design, dc integration…and so on. By comparing the performance before and after modularization, we can do some debugs and improvement to these modules. At the end, a simple testing and future works of phased-array receiver system are depicted.

碩士<br>國立交通大學<br>電信工程研究所<br>106<br>The requirement for all aspects of mobile phones increases along with the popularization of mobile phones. Among all of them, the most obvious part is very high data rate. Therefore, the fifth generation (5G) mobile communication systems are scheduled to start formally in 2020. Both the academia and industry devote themselves to the development of the 5G communication systems at present and look forward to satisfy the requirement of very high data rate. In response to the research of 5G communication systems, we propose a possible solution which is named massive antenna multipath division multiple access (MDMA) cellular system. In this thesis, we first integrate all the transmission techniques which have been researched previously for this system. And these techniques include Kalman filter (KF)、majority vote aided path selection、parallel interference cancellation (PIC)、trellis-coded modulation (TCM) and cyclic-shifted ZC sequences. After integrating them with massive antenna, the BER and channel estimation error are reduced. Furthermore, we find there are some weak points in the original transmission model. So we also propose a refined system with a new transmission model which also works well with all the transmission techniques above. Simulation results of both the integrated and the refined MDMA systems are given and discussed in details.