Localización y seguimiento de aeronaves mediante sistemas de multilateración de área extensa

El continuo crecimiento de la demanda del transporte aéreo, junto con los nuevos escenarios de intervención militar, están obligando a una optimización en el uso del espacio aéreo. De este modo, la UE y los EEUU (a través de SESAR y NextGen respectivamente) han asentado las bases para una nueva gestión del tráfico aéreo (ATM). Con ello, se pretende aumentar la capacidad de aeropuertos y rutas aéreas, otorgando mayor flexibilidad al uso del espacio aéreo sin comprometer la seguridad de los usuarios. Desde un punto de vista puramente técnico, la clave de este cambio de modelo está en el conocimiento de la posición de cada aeronave en cada instante. En este sentido, la tendencia en ATM es el uso de ADS-B como fuente principal de posicionamiento. Sin embargo, debido a que este sistema está basado en la difusión de la posición obtenida a través de GPS, es necesario un sistema de seguimiento independiente. Actualmente, la intención es migrar del radar secundario de vigilancia (SSR) a la multilateración de área extensa (WAM), con el fin de mejorar la integridad de la posición para aplicaciones en ruta. Aprovechando el rápido despliegue de ADS-B, se pretende reutilizar sus estaciones base para WAM. Cada estación base que recibe el mensaje ADS-B de la aeronave envía conjuntamente la medida del tiempo de llegada (TOA) de dicho mensaje al centro de tráfico aéreo. La posición de la aeronave se obtiene mediante multilateración, cuya técnica consiste en utilizar las medidas de TOA de un mismo mensaje ADS-B obtenidas en las distintas estaciones base. El objetivo es estimar la posición de cada aeronave con la mayor precisión posible. Para poder diseñar el sistema que permite alcanzar este objetivo, son dos los aspectos básicos a estudiar. Por una parte, la identificación y posterior caracterización de los errores (tanto sistemáticos como aleatorios) que afectan a la medida de TOA. Por otra parte, es necesario el estudio de los sistemas de seguimiento, basados en versiones sofisticadas del filtro de Kalman (IMM, UKF). Una vez establecidos estos dos pilares, la presente tesis doctoral propone un sistema que permite efectuar el seguimiento de las aeronaves, corrigiendo los efectos de las principales distorsiones que afectan a la medida de TOA: la refracción troposférica y el error de sincronismo. La mejora en la precisión de la localización ha sido evaluada mediante simulación de escenarios hipotéticos. ABSTRACT The ever-growing demand in the air transportation and the new military intervention scenarios, are generating a need to optimize the use of the airspace. This way, the EU and the USA (through SESAR and NextGen respectively) have set the ground to overhaul the current air traffic management. The intention is to enhance the capacity of airports and air routes, providing greater flexibility in the use of airspace without jeopardizing the security of the end-users. From a technical perspective, the key for this change lies in the knowledge of the aircraft position. The trend in Air Traffic Management (ATM) is to rely on ADS-B as the main source for aircraft positioning. However, this system is based on the aircraft’s self-declaration of its own (often GPS-based) navigation solution. It is therefore necessary to have an independent surveillance system. Nowadays, the intention is to gradually migrate from Secondary Surveillance Radar (SSR) towards Wide Area Multilateration (WAM) in order to enhance surveillance integrity for en-route applications. Given the fast deployment of ADS-B, the aim is to use its base stations for WAM. Each station sends the Time of Arrival (TOA) of the received ADS-B messages to the air traffic center (ATC). The aircraft position is obtained through multilateration, using the TOA of the same message measured by each station. The aim is to accurately estimate the position of each aircraft. Knowledge from two key areas has to be gathered prior to designing such a system. It is necessary to identify and then characterize the errors (both systematic and random) affecting the TOA measurements. The second element is the study of tracking systems based on sophisticated versions of the Kalman filtering (e.g. IMM, UKF). Based on this knowledge, the main contribution of this Ph.D. is an aircraft tracking system that corrects the effects of the main errors involved in the TOA measurement: tropospheric refraction and synchronization issues. Performance gains in positioning accuracy have been assessed by simulating hypothetical WAM scenarios.

Análisis prospectivo del despliegue de redes de comunicaciones móviles LTE en nuevas bandas de frecuencia mediante el desarrollo de modelos tecnoeconómicos

El estándar LTE se ha posicionado como una de las claves para que los operadores de telecomunicación puedan abordar de manera eficiente en costes el crecimiento de la demanda de tráfico móvil que se prevé para los próximos años, al ser una tecnología más escalable en el núcleo de la red y más flexible en la interfaz radio que sus predecesoras. En este sentido, es necesario también que los reguladores garanticen un acceso al espectro radioeléctrico adecuado, equitativo y no discriminatorio, que permita un entorno estable para el despliegue de redes de comunicaciones móviles avanzadas. Además de la flexibilización del marco regulador del espectro radioeléctrico en Europa, que ha permitido el despliegue de nuevas tecnologías en las bandas de frecuencia históricas de GSM, se ha puesto a disposición espectro adicional para sistemas IMT en nuevas bandas de frecuencia, lo que ha planteando a su vez nuevos retos para la tecnología y la regulación. La fragmentación del espectro disponible para comunicaciones móviles ha impulsado el desarrollo de técnicas de agregación de portadoras en las nuevas versiones del estándar LTE, que permiten explotar mejor los recursos radio en su conjunto. No obstante, el espectro inferior a 1 GHz sigue siendo escaso, ya que el tráfico móvil aumenta y la banda de 900 MHz aún se utiliza para servicios GSM, lo que no ha conseguido sino agravar la disputa entre los servicios de radiodifusión terrestre y de comunicaciones móviles por la parte superior de la banda UHF. En concreto, la banda de 700 MHz se perfila como una de las próximas para aumentar el espectro disponible para los servicios en movilidad, si bien su liberación por parte de las actuales redes de Televisión Digital Terrestre presenta no pocas dificultades en los Estados miembros en los que ésta es la principal plataforma audiovisual de acceso gratuito, abriendo un debate sobre el modelo audiovisual a largo plazo en Europa. Por otro lado, las políticas públicas de promoción del acceso a la banda ancha rápida y ultrarrápida de la presente década han establecido objetivos ambiciosos para el año 2020, tanto en el ámbito europeo como en los diferentes Estados miembros. La universalización del acceso a redes de banda ancha de al menos 30 Mbps constituye uno de los principales retos. Las expectativas generadas por la tecnología LTE y la puesta a disposición de nuevas bandas de frecuencia hace posible que los servicios de acceso fijo inalámbrico adquieran especial relevancia ante los objetivos de política pública establecidos que, como ha sido reconocido en diversas ocasiones, no podrán lograrse sino con un compendio de diferente tecnologías. Para esta Tesis Doctoral se han desarrollado una serie modelos tecnoeconómicos con el objetivo de realizar un análisis prospectivo que evalúa tres casos de especial relevancia en el despliegue de redes LTE: en primer lugar, la valoración económica de la banda de 700 MHz; en segundo lugar, la evaluación de modelos de negocio y reducción de costes considerando tecnologías femtocelulares; y finalmente, la viabilidad de las redes LTE de acceso fijo inalámbrico para el cierre de la brecha digital en el acceso a la banda ancha de 30 Mbps. En relación con la aplicación del análisis tecnoeconómico para la valoración del espectro de 700 MHz, los resultados obtenidos ponen de manifiesto dos cuestiones fundamentales. En primer lugar, la necesidad de asignar a los operadores más espectro para satisfacer las previsiones de demanda de tráfico móvil a medio plazo. En segundo, existe una diferencia notable en los costes de despliegue de una red LTE cuando se dispone de espectro en frecuencias inferiores a 1 GHz y cuando no, pero esta diferencia de costes disminuye a medida que se añade nuevo espectro sub-1GHz. De esta manera, la atribución de la banda de 700 MHz a servicios de comunicaciones móviles supone una reducción relevante en los costes de despliegue si el operador no dispone de espectro en la banda de 800 MHz, pero no así si ya dispone de espectro en bandas bajas para el despliegue. En este sentido, puede concluirse que el precio que los operadores estarán dispuestos a pagar por el espectro de la banda de 700 MHz dependerá de si ya tienen disponible espectro en la banda de 800 MHz. Sin embargo, dado que la competencia por ese espectro será menor, los ingresos esperables en las licitaciones de esta nueva banda serán en general menores, a pesar de que para algunos operadores este espectro sería tan valioso como el de 800 MHz. En segundo lugar, en relación con el despliegue de femtoceldas pueden extraerse algunas conclusiones en términos de ahorro de costes de despliegue y también de cara a la viabilidad de los modelos de negocio que posibilitan. El ahorro que supone la introducción de femtoceldas en el despliegue de una red LTE frente al caso de un despliegue exclusivamente macrocelular se ha demostrado que es mayor cuanto menor es el ancho de banda disponible para la red macrocelular. En esta línea, para un operador convergente el despliegue de femtoceldas tiene sentido económico si el ancho de banda disponible es escaso (en torno a 2x10 MHz), que, en el caso de España, puede reflejar el caso de los operadores del segmento fijo que son nuevos entrantes en el móvil. Por otro lado, los modelos de acceso abierto son interesantes para operadores exclusivamente móviles, porque consiguen flexibilizar los costes sustituyendo estaciones base macrocelulares por el despliegue de femtoceldas, pero necesitan desplegarse en zonas con una densidad de población relativamente elevada para que éstas descarguen tráfico de varios usuarios de la red macrocelular simultáneamente. No obstante, las femtoceldas son beneficiosas en todo caso si es el usuario quien asume los costes de la femtocelda y el backhaul, lo que sólo parece probable si se integran en el modelo de negocio de comercialización de nuevos servicios. Por tanto, el despliegue de femtoceldas en buena parte de la casuística estudiada sólo tiene sentido si consiguen aumentar los ingresos por usuario comercializando servicios de valor añadido que necesiten calidad de servicio garantizada y exploten a la vez de esa forma su principal ventaja competitiva respecto a la tecnología WiFi. Finalmente, en relación con el papel de la tecnología LTE para la provisión de servicios de acceso fijo inalámbrico para la banda ancha de 30 Mbps, se ha desarrollado un modelo TD-LTE y mediante la metodología de análisis tecnoeconómico se ha realizado un estudio prospectivo para el caso de España. Los resultados obtenidos preciden una huella de cobertura de FTTH del 74% para 2020, y demuestran que una red TD-LTE en la banda de 3,5 GHz resulta viable para aumentar la cobertura de servicios de 30 Mbps en 14 puntos porcentuales. Junto con la consideración de la cobertura de otras redes, la cobertura de 30 Mbps de acuerdo a la viabilidad de los despliegues alcanzaría el 95% en España en el año 2020. Como resumen, los resultados obtenidos muestran en todos los casos la capacidad de la tecnología LTE para afrontar nuevos desafíos en relación con el aumento del tráfico móvil, especialmente crítico en las zonas más urbanas, y el cierre de la brecha digital en el acceso a la banda ancha rápida en las zonas más rurales. ABSTRACT The LTE standard has been pointed out as one of the keys for telecom operators to address the demand growth in mobile traffic foreseen for the next years in a cost-efficient way, since its core network is more scalable and its radio interface more flexible than those of its predecessor technologies. On the other hand, regulators need to guarantee an adequate, equitable and non-discriminatory access to radio spectrum, which enable a favorable environment for the deployment of advanced mobile communication networks. Despite the reform of the spectrum regulatory framework in Europe, which allowed for the deployment of new technologies in the historic GSM bands, additional spectrum has been allocated to IMT systems in new frequency bands, what in turn has set out new challenges for technology and regulation. The current fragmentation of available spectrum in very different frequency bands has boosted the development of carrier aggregation techniques in most recent releases of the LTE standard, which permit a better exploitation of radio resources as a whole. Nonetheless, spectrum below 1 GHz is still scarce for mobile networks, since mobile traffic increases at a more rapid pace than spectral efficiency and spectrum resources. The 900 MHz frequency band is still being used for GSM services, what has worsen the dispute between mobile communication services and terrestrial broadcasting services for the upper part of the UHF band. Concretely, the 700 MHz frequency band has been pointed out as one of the next bands to be allocated to mobile in order to increase available spectrum. However, its release by current Digital Terrestrial Television networks is challenging in Member States where it constitutes the main free access audiovisual platform, opening up a new debate around the audiovisual model in the long term in Europe. On the other hand, public policies of the present decade to promote fast and ultrafast broadband access has established very ambitious objectives for the year 2020, both at European and national levels. Universalization of 30 Mbps broadband access networks constitutes one of the main challenges. Expectations raised by LTE technology and the allocation of new frequency bands has lead fixed wireless access (FWA) services to acquire special relevance in light of public policy objectives, which will not be met but with a compendium of different technologies, as different involved stakeholders have acknowledged. This PhD Dissertation develops techno-economic models to carry out a prospective analysis for three cases of special relevance in LTE networks’ deployment: the spectrum pricing of the 700 MHz frequency band, an assessment of new business models and cost reduction considering femtocell technologies, and the feasibility of LTE fixed wireless access networks to close the 30 Mbps broadband access gap in rural areas. In the first place and regarding the application of techno-economic analysis for 700 MHz spectrum pricing, obtained results reveal two core issues. First of all, the need to allocate more spectrum for operators in order to fulfill mobile traffic demand in the mid-term. Secondly, there is a substantial difference in deployment costs for a LTE network when there is sub-1GHz spectrum available and when there is not, but this difference decreases as additional sub-1GHz spectrum is added. Thus, the allocation of 700 MHz band to mobile communication services would cause a relevant reduction in deployment costs if the operator does not count on spectrum in the 800 MHz, but not if it already has been assigned spectrum in low frequencies for the deployment. In this regard, the price operators will be willing to pay for 700 MHz spectrum will depend on them having already spectrum in the 800 MHz frequency band or not. However, since competition for the new spectrum will not be so strong, expected incomes from 700 MHz spectrum awards will be generally lower than those from the digital dividend, despite this spectrum being as valuable as 800 MHz spectrum for some operators. In the second place, regarding femtocell deployment, some conclusions can be drawn in terms of deployment cost savings and also with reference to the business model they enable. Savings provided by a joint macro-femto LTE network as compared to an exclusively macrocellular deployment increase as the available bandwidth for the macrocells decreases. Therefore, for a convergent operator the deployment of femtocells can only have economic sense if the available bandwidth is scarce (around 2x10 MHz), which might be the case of fix market operators which are new entrant in mobile market. Besides, open access models are interesting for exclusively mobile operators, since they make costs more flexible by substituting macrocell base stations by femtocells, but they need to be deployed relatively densely populated areas so that they can offload traffic from several macrocell users simultaneously. Nonetheless, femtocells are beneficial in all cases if the user assumes both femtocell and backhaul costs, which only seems probable if they are integrated in a business model commercializing new services. Therefore, in many of the cases analyzed femtocell deployment only makes sense if they increase revenues per user through new added value services which need from guaranteed quality of service, thus exploiting its main competitive advantage compared to WiFi. Finally, regarding the role of LTE technology in the provision of fixed wireless access services for 30 Mbps broadband, a TD-LTE model has been developed and a prospective study has been carried out through techno-economic methodology for the Spanish case. Obtained results foresee a FTTH coverage footprint of 74% households for 2020, and prove that a TD-LTE network in the 3.5 GHz band results feasible to increase 30 Mbps service coverage in additional 14 percentage points. To sum up, obtained results show LTE technology capability to address new challenges regarding both mobile traffic growth, particularly critical in urban zones, and the current digital divide in fast broadband access in most rural zones.

Advanced handover procedure for cellular communication systems

Third Generation cellular communication systems are expected to support mixed cell architecture in which picocells, microcells and macrocells are used to achieve full coverage and increase the spectral capacity. Supporting higher numbers of mobile terminals and the use of smaller cells will result in an increase in the number of handovers, and consequently an increase in the time delays required to perform these handovers. Higher time delays will generate call interruptions and forced terminations, particularly for time sensitive applications like real-time multimedia and data services. Currently in the Global System for Mobile communications (GSM), the handover procedure is initiated and performed by the fixed part of the Public Land Mobile Network (PLMN). The mobile terminal is only capable of detecting candidate base stations suitable for the handover; it is the role of the network to interrogate a candidate base station for a free channel. Handover signalling is exchanged via the fixed network and the time delay required to perform the handover is greatly affected by the levels of teletraffic handled by the network. In this thesis, a new handover strategy is developed to reduce the total time delay for handovers in a microcellular system. The handover signalling is diverted from the fixed network to the air interface to prevent extra delays due to teletraffic congestion, and to allow the mobile terminal to exchange signalling directly with the candidate base station. The new strategy utilises Packet Reservation Multiple Access (PRMA) technique as a mechanism to transfer the control of the handover procedure from the fixed network to the mobile terminal. Simulation results are presented to show a dramatic reduction in the handover delay as compared to those obtained using fixed channel allocation and dynamic channel allocation schemes.

A multihop peer-communication protocol with fairness guarantee for IEEE 802.16-based vehicular networks

Wireless-communication technology can be used to improve road safety and to provide Internet access inside vehicles. This paper proposes a cross-layer protocol called coordinated external peer communication (CEPEC) for Internet-access services and peer communications for vehicular networks. We assume that IEEE 802.16 base stations (BS) are installed along highways and that the same air interface is equipped in vehicles. Certain vehicles locating outside of the limited coverage of their nearest BSs can still get access to the Internet via a multihop route to their BSs. For Internet-access services, the objective of CEPEC is to increase the end-to-end throughput while providing a fairness guarantee in bandwidth usage among road segments. To achieve this goal, the road is logically partitioned into segments of equal length. A relaying head is selected in each segment that performs both local-packet collecting and aggregated packets relaying. The simulation results have shown that the proposed CEPEC protocol provides higher throughput with guaranteed fairness in multihop data delivery in vehicular networks when compared with the purely IEEE 802.16-based protocol.

Application of IEEE 802.16 mesh networks as the backhaul of multihop cellular networks

Cellular networks have been widely used to support many new audio-and video-based multimedia applications. The demand for higher data rate and diverse services has driven the research on multihop cellular networks (MCNs). With its ad hoc network features, an MCN can offer many additional advantages, such as increased network throughput, scalability and coverage. However, providing ad hoc capability to MCNs is challenging as it may require proper wireless interfaces. In this article, the architecture of IEEE 802.16 network interface to provide ad hoc capability for MCNs is investigated, with its focus on the IEEE 802.16 mesh networking and scheduling. Several distributed routing algorithms based on network entry mechanism are studied and compared with a centralized routing algorithm. It is observed from the simulation results that 802.16 mesh networks have limitations on providing sufficient bandwidth for the traffic from the cellular base stations when a cellular network size is relatively large. © 2007 IEEE.

Extended Coverage for Public Safety and Critical Communications Using Multi-hop and D2D Communications

In this thesis, we proposed the use of device-to-device (D2D) communications for extending the coverage area of active base stations, for public safety communications with partial coverage. A 3GPP standard compliant D2D system level simulator is developed for HetNets and public safety scenarios and used to evaluate the performance of D2D discovery and communications underlying cellular networks. For D2D discovery, the benefits of time-domain inter-cell interference coordi- nation (ICIC) approaches by using almost blank subframes were evaluated. Also, the use of multi-hop is proposed to improve, even further, the performance of the D2D discovery process. Finally, the possibility of using multi-hop D2D communications for extending the coverage area of active base stations was evaluated. Improvements in energy and spectral efficiency, when compared with the case of direct UE-eNB communi- cations, were demonstrated. Moreover, UE power control techniques were applied to reduce the effects of interference from neighboring D2D links.

Secure Full-Duplex Small-Cell Networks in a Spectrum Sharing Environment

In this paper, we propose three relay selection schemes for full-duplex heterogeneous networks in the presence of multiple cognitive radio eavesdroppers. In this setup, the cognitive small-cell nodes (secondary network) can share the spectrum licensed to the macro-cell system (primary network) on the condition that the quality-of-service of the primary network is always satisfied subjected to its outage probability constraint. The messages are delivered from one small-cell base station to the destination with the help of full-duplex small-cell base stations, which act as relay nodes. Based on the availability of the network’s channel state information at the secondary information source, three different selection criteria for full-duplex relays, namely: 1) partial relay selection; 2) optimal relay selection; and 3) minimal self-interference relay selection, are proposed. We derive the exact closed-form and asymptotic expressions of the secrecy outage probability for the three criteria under the attack of non-colluding/colluding eavesdroppers. We demonstrate that the optimal relay selection scheme outperforms the partial relay selection and minimal self-interference relay selection schemes at the expense of acquiring full channel state information knowledge. In addition, increasing the number of the full-duplex small-cell base stations can improve the security performance. At the illegitimate side, deploying colluding eavesdroppers and increasing the number of eavesdroppers put the confidential information at a greater risk. Besides, the transmit power and the desire outage probability of the primary network have great influences on the secrecy outage probability of the secondary network. 

Beamforming and interference cancellation schemes for D2D communications

We investigate device-to-device (D2D) communication underlaying cellular networks with M-antenna base stations. We consider both beamforming (BF) and interference cancellation (IC) strategies under quantized channel state information (CSI), as well as, perfect CSI. We derive tight closed-form approximations of the ergodic achievable rate which hold for arbitrary transmit power, location of users and number of antennas. Based on these approximations, we derive insightful asymptotic expressions for three special cases namely high signal-to-noise (SNR), weak interference, and large M. In particular, we show that in the high SNR regime a ceiling effect exists which depends on the received signal-to-interference ratio and the number of antennas. Moreover, the achievable rate scales logarithmically with M. The ergodic achievable rate is shown to scale logarithmically with SNR and the antenna number in the weak interference case. When the BS is equipped with large number of antennas, we find that the ergodic achievable rate under quantized CSI reaches a saturated value, whilst it scales as log2M under perfect CSI.

Massive MIMO in sparse channels

Massive multi-user multiple-input multiple-output (MU-MIMO) systems are cellular networks where the base stations (BSs) are equipped with hundreds of antennas, N, and communicate with tens of mobile stations (MSs), K, such that, N ≫ K ≫ 1. Contrary to most prior works, in this paper, we consider the uplink of a single-cell massive MIMO system operating in sparse channels with limited scattering. This case is of particular importance in most propagation scenarios, where the prevalent Rayleigh fading assumption becomes idealistic. We derive analytical approximations for the achievable rates of maximum-ratio combining (MRC) and zero-forcing (ZF) receivers. Furthermore, we study the asymptotic behavior of the achievable rates for both MRC and ZF receivers, when N and K go to infinity under the condition that N/K → c ≥ 1. Our results indicate that the achievable rate of MRC receivers reaches an asymptotic saturation limit, whereas the achievable rate of ZF receivers grows logarithmically with the number of MSs.

Challenges and Opportunities in Edge Computing

Many cloud-based applications employ a data centre as a central server to process data that is generated by edge devices, such as smartphones, tablets and wearables. This model places ever increasing demands on communication and computational infrastructure with inevitable adverse effect on Quality-of-Service and Experience. The concept of Edge Computing is predicated on moving some of this computational load towards the edge of the network to harness computational capabilities that are currently untapped in edge nodes, such as base stations, routers and switches. This position paper considers the challenges and opportunities that arise out of this new direction in the computing landscape.

Pico Cell Integration to Operator’s Incident Management Process

Mobile network coverage is traditionally provided by outdoor macro base stations, which have a long range and serve several of customers. Due to modern passive houses and tightening construction legislation, mobile network service is deteriorated in many indoor locations. Typically, solutions for indoor coverage problem are expensive and demand actions from the mobile operator. Due to these, superior solutions are constantly researched. The solution presented in this thesis is based on Small Cell technology. Small Cells are low power access nodes designed to provide voice and data services.. This thesis concentrates on a specific Small Cell solution, which is called a Pico Cell. The problem regarding Pico Cells and Small Cells in general is that they are a new technological solution for the mobile operator, and the possible problem sources and incidents are not properly mapped. The purpose of this thesis is to figure out the possible problems in the Pico Cell deployment and how they could be solved within the operator’s incident management process. The research in the thesis is carried out with a literature research and a case study. The possible problems are investigated through lab testing. Pico Cell automated deployment process was tested in the lab environment and its proper functionality is confirmed. The related network elements were also tested and examined, and the emerged problems are resolvable. Operators existing incident management process can be used for Pico Cell troubleshooting with minor updates. Certain pre-requirements have to be met before Pico Cell deployment can be considered. The main contribution of this thesis is the Pico Cell integrated incident management process. The presented solution works in theory and solves the problems found during the lab testing. The limitations in the customer service level were solved by adding the necessary tools and by designing a working question pattern. Process structures for automated network discovery and pico specific radio parameter planning were also added for the mobile network management layer..

Some parameters that affect CDMA capacity analysis. Results using GIS based simulation

In previous papers we describe a model for capacity analysis in CDMA systems using DC-Cell, a GIS based planning tool developed at Universidad Politecnica de Valencia, and MATLAB. We show some initial results of that model, and now, we are exploring different parameters like cell size, proximity between cells, number of cells in the system and “clustering” CDMA in order to improve the planning process for third generation systems. In this paper we show the results for variations of some of these parameters, specifically the cell size and number of cells. In CDMA systems is quite common to suppose only one carrier frequency for capacity estimation, and it is intuitive to think that for more base stations, mean more users. However the multiple access interference problem in CDMA systems could establish a limit for that supposition in a similar way that occurs in FDMA and TDMA systems.

Joint Optimization for Social Content Delivery in Wireless Networks

Over the last decade, success of social networks has significantly reshaped how people consume information. Recommendation of contents based on user profiles is well-received. However, as users become dominantly mobile, little is done to consider the impacts of the wireless environment, especially the capacity constraints and changing channel. In this dissertation, we investigate a centralized wireless content delivery system, aiming to optimize overall user experience given the capacity constraints of the wireless networks, by deciding what contents to deliver, when and how. We propose a scheduling framework that incorporates content-based reward and deliverability. Our approach utilizes the broadcast nature of wireless communication and social nature of content, by multicasting and precaching. Results indicate this novel joint optimization approach outperforms existing layered systems that separate recommendation and delivery, especially when the wireless network is operating at maximum capacity. Utilizing limited number of transmission modes, we significantly reduce the complexity of the optimization. We also introduce the design of a hybrid system to handle transmissions for both system recommended contents ('push') and active user requests ('pull'). Further, we extend the joint optimization framework to the wireless infrastructure with multiple base stations. The problem becomes much harder in that there are many more system configurations, including but not limited to power allocation and how resources are shared among the base stations ('out-of-band' in which base stations transmit with dedicated spectrum resources, thus no interference; and 'in-band' in which they share the spectrum and need to mitigate interference). We propose a scalable two-phase scheduling framework: 1) each base station obtains delivery decisions and resource allocation individually; 2) the system consolidates the decisions and allocations, reducing redundant transmissions. Additionally, if the social network applications could provide the predictions of how the social contents disseminate, the wireless networks could schedule the transmissions accordingly and significantly improve the dissemination performance by reducing the delivery delay. We propose a novel method utilizing: 1) hybrid systems to handle active disseminating requests; and 2) predictions of dissemination dynamics from the social network applications. This method could mitigate the performance degradation for content dissemination due to wireless delivery delay. Results indicate that our proposed system design is both efficient and easy to implement.

Technologies for urban and rural internet of things

Nowadays, application domains such as smart cities, agriculture or intelligent transportation, require communication technologies that combine long transmission ranges and energy efficiency to fulfill a set of capabilities and constraints to rely on. In addition, in recent years, the interest in Unmanned Aerial Vehicles (UAVs) providing wireless connectivity in such scenarios is substantially increased thanks to their flexible deployment. The first chapters of this thesis deal with LoRaWAN and Narrowband-IoT (NB-IoT), which recent trends identify as the most promising Low Power Wide Area Networks technologies. While LoRaWAN is an open protocol that has gained a lot of interest thanks to its simplicity and energy efficiency, NB-IoT has been introduced from 3GPP as a radio access technology for massive machine-type communications inheriting legacy LTE characteristics. This thesis offers an overview of the two, comparing them in terms of selected performance indicators. In particular, LoRaWAN technology is assessed both via simulations and experiments, considering different network architectures and solutions to improve its performance (e.g., a new Adaptive Data Rate algorithm). NB-IoT is then introduced to identify which technology is more suitable depending on the application considered. The second part of the thesis introduces the use of UAVs as flying Base Stations, denoted as Unmanned Aerial Base Stations, (UABSs), which are considered as one of the key pillars of 6G to offer service for a number of applications. To this end, the performance of an NB-IoT network are assessed considering a UABS following predefined trajectories. Then, machine learning algorithms based on reinforcement learning and meta-learning are considered to optimize the trajectory as well as the radio resource management techniques the UABS may rely on in order to provide service considering both static (IoT sensors) and dynamic (vehicles) users. Finally, some experimental projects based on the technologies mentioned so far are presented.

Trajectory Planning in UAV-Aided Wireless Networks Via Reinforcement Learning

This thesis is focused on the design of a flexible, dynamic and innovative telecommunication's system for future 6G applications on vehicular communications. The system is based on the development of drones acting as mobile base stations in an urban scenario to cope with the increasing traffic demand and avoid network's congestion conditions. In particular, the exploitation of Reinforcement Learning algorithms is used to let the drone learn autonomously how to behave in a scenario full of obstacles with the goal of tracking and serve the maximum number of moving vehicles, by at the same time, minimizing the energy consumed to perform its tasks. This project is an extraordinary opportunity to open the doors to a new way of applying and develop telecommunications in an urban scenario by mixing it to the rising world of the Artificial Intelligence.