Satellite communication system designers are continuously struggling to improve the channel capacity. A critical challenge results from the limited power available aboard the satellite.Because of this constraint, the onboard power amplifier must work with a small power supply which limits its maximum output power. To ensure a sufficient Signal-to-Noise power Ratio (SNR) on the receiver side, the power amplifier must work close to its saturation point. This is power efficient but unfortunately adds non-linear distortions to the communication channel. The latters are very penalizing for high order modulations.In the literature, several equalization algorithms have been proposed to cope with the resulting non-linear communication channel. The most popular solution consists in using baseband Volterra series in order to build non-linear equalization filters. On the other hand, the Recurrent Neural Networks (RNNs), which come from the artificial neural network field, are also interesting candidates to generate such non-linear filters. But they are difficult to implement in practice due to the high complexity of their training. To simplify this task, the Echo State Network (ESN) paradigm has been proposed. It has the advantage of offering performances similar to classical RNNs but with a reduced complexity.The purpose of this work is, first, to compare this solution to the state-of-the-art baseband Volterra filters. We show that the classical ESN is able to reach the same performances, evaluated in terms of Bit Error Rate (BER), and has similar complexity. Secondly, we propose a new design for the ESN which achieves a strong reduction in complexity while conserving a similar BER.To compensate for the channel, the literature proposes to adapt the coefficients of these equalizers with the help of a training sequence in order to recover the transmitted constellation points. We show that, in such a case, the usual symbol detection criterion, based on Euclidean distances, is no longer optimal. For this reason, we first propose a new detection criterion which meets the Maximum Likelihood (ML) criterion. Secondly, we propose a modification of the equalizers training reference points in order to improve their performances and make the detection based on Euclidean distances optimal again. This last solution can offer a significant reduction of the BER without increasing the equalization and detection complexity. Only the new training reference points must be evaluated.In this work, we also explore the field of analog equalizers as different papers showed that the ESN is an interesting candidate for this purpose. It is a promising approach to reduce the equalizer complexity as the digital implementation is very challenging and power-hungry, in particular for high bandwidth communications. We numerically demonstrate that a dedicated analog optoelectronic implementation of the ESN can reach the state-of-the-art performance of digital equalizers. In addition, we show that it can reduce the required resolution of the Analog-to-Digital Converters (ADCs).Finally, a hardware demonstration of the digital solutions is proposed. For this purpose, we build a physical layer test bench which depicts a non-linear communication between two radios. We show that if we drive the transmitter power amplifier close to its saturation point, we can improve the communication range if the non-linear distortions are compensated for at the receiver. The transmitter and the receiver are implemented with Software Defined Radios (SDRs). / Doctorat en Sciences de l'ingénieur et technologie / info:eu-repo/semantics/nonPublished

L'internet des objets vise à connecter des milliards d'objets physiques ainsi qu'à les rendre accessibles depuis le monde numérique que représente l'internet d'aujourd'hui. Pour ce faire, l'accès à ces objets sera majoritairement réalisé sans fil et sans utiliser d'infrastructures prédéfinies ou de normes spécifiques. Une telle technologie nécessite de définir et d'implémenter des nœuds radio intelligents capables de s'adapter à différents protocoles physiques de communication. Nos travaux de recherches ont consisté à définir un flot de conception pour ces nœuds intelligents partant de leur modélisation à haut niveau jusqu'à leur implémentation sur des cibles de types FPGA. Ce flot vise à améliorer la programmabilité des formes d'ondes par l'utilisation de spécification de haut niveau exécutables et synthétisables, il repose sur la synthèse de haut niveau (HLS pour High Level Synthesis) pour le prototypage rapide des briques de base ainsi que sur le modèle de calcul de types flot de données des formes d'ondes radio. Le point d'entrée du flot consiste en un langage à usage spécifique (DSL pour Domain Specific Language) qui permet de modéliser à haut niveau une forme d'onde tout en insérant des contraintes d'implémentation pour des architectures reconfigurables telles que les FPGA. Il est associé à un compilateur qui permet de générer du code synthétisable ainsi que des scripts de synthèse. La forme d'onde finale est composée d'un chemin de données et d'une entité de contrôle implémentée sous forme d'une machine d'état hiérarchique. / The Internet of Things (IoT) aims at connecting billions of communicating devices through an internet-like network. To this aim, the access to these things is expected to be performed via wireless technologies without using any predefined infrastructures or standards. This technology requires defining and implementing smart nodes capable to adapt to different radio communication protocols. In this thesis, we have defined a design methodology/flow, for such smart nodes, starting from their high-level specification down to their implementation in FPGA fabrics. This flow aims at improving the programmability of the waveforms by leveraging some high-level specifications. Thus, it relies on the High-Level Synthesis (HLS) for rapid prototyping of the waveforms functional blocks as well as the dataflow model of computation. Its entry point is Domain-Specific Language which enables modeling a waveform while inserting some implementation constraints for reconfigurable architectures such as the FPGAs. The flow is featured with a compiler which purpose is to produce some synthesis scripts and generate some RTL source code. The final waveform consists of a datapath and a control unit implemented as a Hierarchical Finite State Machine (HFSM).

Le grand nombre d’appareils connectés combiné au volume croissant de trafic ont poussé les réseaux dans leurs derniers retranchements. Pour résoudre ce problème, l’approche “Software-Defined Networking” (SDN) qui découple le plan de contrôle du plan de données a été proposée. OpenFlow est un nouveau protocole qui réalise le concept SDN. Pour traiter ces flux, OpenFlow utilise des listes de règles sur les commutateurs. Ces règles sont utilisées pour déterminer les actions dans le réseau. Ceci permet de simplifier la mise en place de services réseaux complexes mais soulève la question de savoir quelles règles définir et où les placer dans le réseau afin d’en respecter ses contraintes. Dans cette thèse, nous nous concentrons sur le problème de placement de règles dans OpenFlow (ORPP) et proposons une abstraction de type boite noire afin de masquer la gestion du réseau. Tout d'abord, nous formalisons le problème de placement de règles et faisons une étude des solutions existantes. Les solutions existantes sont cependant inefficaces car elles reposent majoritairement sur le concept du plus court chemin. Nous proposons de relaxer le problème en autorisant l’utilisation de chemins arbitraires et proposons deux algorithmes complémentaires : OFFICER et aOFFICER. L'idée générale d’OFFICER et aOFFICER est d’utiliser les chemins les plus efficaces pour le trafic de haute importance et autoriser le trafic de plus basse importance à suivre des détours. Ces deux propositions sont évaluées en utilisant des traces de trafic. Finalement, nous appliquons le principe de la boite noire pour améliorer les performances d'un service de diffusion de contenus dans les réseaux cellulaires / The massive number of connected devices combined with an increasing traffic push network operators to their limit by limiting their profitability. To tackle this problem, Software-Defined Networking (SDN), which decouples network control logic from forwarding devices, has been proposed. An important part of the SDN concepts is implemented by the OpenFlow protocol that abstracts network communications as flows and processes them using a prioritized list of rules on the network forwarding elements. While the abstraction offered by OpenFlow allows to implement many applications, it raises the new problem of how to define the rules and where to place them in the network while respecting all requirements, which we refer as the OpenFlow Rules Placement Problem (ORPP). In this thesis, we focus on the ORPP and hide the complexity of network management by proposing a black box abstraction. First, we formalize that problem, classify and discuss existing solutions. We discover that most of the solutions enforce the routing policy when placing rules, which is not memory efficient in some cases. Second, by trading routing for better resource efficiency, we propose OFFICER and aOFFICER, two frameworks that select OpenFlow rules satisfying policies and network constraints, while minimizing overheads. The main idea of OFFICER an aOFFICER is to give high priority for large flows to be installed on efficient paths, and let other flows follow default paths. These proposals are evaluated and compared to existing solutions in realistic scenarios. Finally, we study a use case of the black box abstraction, in which we improve the performance of content delivery services in cellular networks

Dans cette thèse, nous étudions plusieurs modèles de routage efficaces en énergie. Pour chaque modèle, nous présentons une formulation en programmation linéaire mixte permettant de trouver une solution exacte. En outre, comme il s’agit de problèmes NP-Difficiles, nous proposons des heuristiques efficaces pour des réseaux de grande taille. Dans la première partie de cette thèse, nous étudions une solution de routage efficace en énergie dans laquelle nous ajoutons la possibilité d’éliminer des redondances dans les paquets transmis sur le réseau. Nous montrons premièrement que l’ajout de l’élimination des redondances permet d’améliorer l’efficacité énergétique des réseaux en éteignant plus de liens. Ensuite, nous étendons le modèle afin qu’il prenne en compte un certain niveau d’incertitudes dans le volume de trafic et le taux de redondances. La deuxième partie de cette thèse est consacrée aux problèmes qui se posent lors du déploiement de tels protocoles dans les réseaux. Plus particulièrement, nous proposons de minimiser les changements entre deux configurations réseaux consécutives lorsque plusieurs matrices de trafic sont considérées. Le routage des demandes étant alors assuré avec le protocole de routage OSPF (Open Shortest Path First). Ensuite, nous abordons le problème de la limitation du nombre de règles de routage dans les routeurs en utilisant une technologie de type SDN (Software Defined Networks). Enfin, nous présentons en annexe des travaux complémentaires réalisés au cours de cette thèse concernant le routage multicast et le contrôle de congestion TCP. / In this thesis, we study several models of energy-Aware routing. For each model, we present a linear programming formulation to find the exact solution. Moreover, since energy-Aware routing is NP-Hard problem, we also propose efficient heuristic algorithms for large scale networks. In the first part of this thesis, we deal with GreenRE - a new energy-Aware routing model with the support of redundancy elimination. We first present a deterministic model in which we show how to combine energy-Aware routing and redundancy elimination to improve energy efficiency for backbone networks. Then, we extend the model in order to take into account uncertainties in traffic volumes and redundancy rates. The second part of this thesis is devoted to the deployment issues of energy- aware routing in practice. In detail, to avoid service deterioration for end-Users, we limit changes of network configurations in multi-Period traffic matrices in Open Shortest Path First (OSPF) protocol. Next, we address the problem of limited rule space in OpenFlow switches when installing energy-Aware routing configurations. Finally, we present in the appendix other works developed during this thesis: multicast network protocol and TCP congestion control algorithm.

Atea Eskilstuna hade behovet av en plattform som kan förenkla och minska antalet konfigurationer vid implementation av kunder. Arbetet gick ut på att utvärdera plattformen VMware NSX och jämföra det mot traditionella nätverkslösningar. I dagens datacenter är virtualisering en viktig del av dess verksamhet. Användandet av virtualisering optimerar hanteringen av hårdvaru-resurser och kostnader. Virtualisering har hittills främst fokuserat på hantering av servrar och klienter, vilket har passerat nätverksutvecklingen, och därför har det uppstått vissa problem med traditionella datacenter gällande trafikflöden, säkerhet och implementering. Datacenter har tidigare varit optimerade för trafik som ska in eller ut ur datacentret. Detta har lett till att brandväggar och säkerhetspolicies ofta placerats vid datacentrets kant. I dagens datacenter har det däremot blivit en ökning på trafik mellan enheter inom datacentret som behöver skyddas. Denna typ av interna säkerhet kan uppnås av interna policies på samtliga nätverksenheter, dock blir det ohållbart vid implementation då antalet konfigurationspunkter i nätverket ökar. Dessa problem kan hanteras med hjälp av VMware NSX som virtualiserar nätverksenheter och centraliserar administration. NSX har en distribuerad brandväggs-funktion vilket medför att policies kan appliceras direkt på virtuella maskiner och virtuella routrar, från en central konfigurationspunkt. Detta ökar säkerheten och minskar implementationstiden jämfört med traditionella datacenter. Arbetet fokuserar på hur NSX arbetar till skillnad från fysiska nätverksenheter samt hur NSX hanterar frågor som trafikflöden, säkerhet och automation. För dessa ändamål byggdes en laborationsmiljö i Ravellos molntjänst med flertalet virtuella maskiner och en litteraturstudie utfördes. Laborationsmiljön användes för att sätta upp kunder med hjälp av virtuella nätverksenheter och virtuella maskiner. Laborationsmiljön användes som referens för hur implementation av NSX och dess funktioner går till. Litteraturstudien fokuserar på vad som är möjligt i NSX och vilka för- och nackdelar som finns med NSX jämfört med traditionella datacenter. Resultaten visade på att den enda nackdelen med NSX var dess licenskostnader. / Atea Eskilstuna had the need of a platform that simplify and reduce the number of configurations while implementing customer environments. The purpose of this thesis was to do a survey of VMware NSX networking platform and compare it to traditional networking solutions. The virtualization is an important part in data centers and its operations today. With the use of virtualization both hardware resources and costs optimizes. Virtualization has primary been focusing on servers and clients and the network evolution has been overlooked. Therefore, some problems have occurred within traditional data centers regarding traffic flows, security and management. Traditional datacenters have previously been optimized for traffic flows inbound or outbound of the datacenter. This optimization has led to implementation of firewalls and security policies at the datacenter edge. However, in the modern datacenters there’s been an increase of traffic flows between devices inside the datacenter, which needs to be secured. Securing these internal traffic flows can be accomplished through internal policies on the network devices. Implementing these policies however is not a scalable solution as the number of configuration points increases. These problems can be handled through VMware NSX which virtualize network units and centralizes administration. NSX provides a distributed firewall function that through a central management platform can be applied directly on groups of virtual machines and virtual routers. This approach increases security inside the datacenter as well as decreasing the implementation time compared to traditional datacenters. This thesis focus how NSX work unlike physical network units and how it handles issues like hairpinning, security and automation. A lab environment was built up in Ravellos cloud service with virtual machines and a literature study was made for this purpose. The lab environment was used to implement different customers with the help of virtual network components and virtual machines. This lab environment served as a reference point how implementation of NSX, its functions and components was made. The literature study focus on what is possible in NSX and which pros and cons that comes with NSX compared to traditional solutions in data centers. Results shows that the only cons with NSX is license costs.

Dans le but d’améliorer la disponibilité des services fournis par un récepteur, la conception d’un récepteur GNSS permettant de recevoir plusieurs signaux de toutes les bandes simultanément semble être la solution. Une architecture à sous échantillonnage RF optimisée de type SDR (Software Defined Radio) comportant un étage RF intégrable et reconfigurable et un étage de traitement numérique avec une implémentation logicielle du traitement en bande de base est défini pour ce récepteur GNSS, tout en répondant aux exigences des spécifications des standards GNSS : des réseaux radio cellulaires : GPS, Glonass, Galileo, Beidou. Un choix des composants discrets suite au dimensionnement system est effectué et ceci pour installer un prototype de validation expérimental. Ensuite nous nous s’intéressons à la caractérisation de la chaine RF afin d’étudier les limitations causés par la non linéarité et d’étudier la stabilité du prototype proposé. Un étage de traitement numérique des signaux IF, capturés à la sortie de l’ADC, est implémenté sous Matlab. L’acquisition de ces données permet la détermination des satellites visible à un instant donné qui nous permet éventuellement la détermination d’une position / In order to improve the availability of services provided by a receiver, designing a GNSS receiver to collect multiple signals from all bands simultaneously seems to be the solution. An optimized software-defined RF (SDR) sub-sampling architecture with an integral and reconfigurable RF stage and a digital processing stage with a software implementation of the baseband processing is defined for this GNSS receiver, while meeting the requirements GNSS standards specifications: cellular radio networks: GPS, Glonass, Galileo, Beidou. Many discrete components are selected after system dimensioning. Thus, experimental validation prototype is installed. Then we are interested in the characterization of the RF front-end in order to determine the limitations caused by the nonlinearity and to study the stability of the proposed prototype. A stage of digital processing of the IF signals, captured at the ADC output, is implemented under Matlab software. The acquisition of these data allows the determination of satellites visible at a given instant that allows us to determine a position

Data Centers (DCs) have become an intrinsic element of emerging technologies such as big data, artificial intelligence, cloud services; all of which entails interconnected and sophisticated computing and storage resources. Recent studies of conventional data center networks (DCNs) revealed two key challenges: a biased distribution of inter-rack traffic and unidentified flow classes: delay sensitive mice flows (MFs) and throughput-hungry elephant flows (EFs). Unfortunately, existing DCN topologies support only uniform distribution of capacities, provide limited bandwidth flexibilities and lacks of efficient flow classification mechanism. Fortunately, wireless DCs can leverage wireless communication emerging technologies, such as multi-terabit free-space optic (FSO), to provide flexible and reconfigurable DCN topologies. It is worth noting that indoor FSO links are less vulnerable to outdoor FSO channel impairments. Consequently, indoor FSO links are more robust and can offer high bandwidths with long stability, which can further be enhanced with wavelength division multiplexing (WDM) methods. In this thesis, we alleviate the bandwidth inefficiency by FSO links that have the desired agility by allocating the transmission powers to adapt link capacity for dynamically changing traffic conditions, and to reduce the maintenance costs and overhead. While routing the two classes along the same path causes unpleasant consequences, the DC researchers proposed traffic management solutions to treat them separately. However, the solutions either suffer from packet reordering and high queuing delay, or lack of accurate visibility and estimation on end-to-end path status. Alternatively, we leverage WDM to design elastic network topologies (i.e., part of the wavelengths are assigned to route MFs and the remaining for EFs). Since bandwidth demands can be lower than available capacity of WDM channels, we use traffic grooming to aggregate multiple flows into a larger flow and to enhance the link utilization. On the other hand, to reap the benefits of the proposed WDM isolated topology, an accurate and fast EF detection mechanism is necessary. Accordingly, we propose a scheme that uses TCP communication behavior and collect indicative packets for its flow classification algorithm, it demonstrates perfect flow classification accuracy, and is in order of magnitudes faster than existing solutions with low communication and computation overhead.

This master's thesis deals with the description of LPWAN technologies focused on LoRaWAN technology in the theoretical part. The next part deals with description and analyzing of LoRaWAN protocol. In theoretical part also security elements of the LoRaWAN protocol are discussed and LoRaWAN 1.0.2 and 1.1.x versions are compared. The thesis also deals with LoRaWAN tapping and its decryption, both on the physical layer and the MAC protocol layer LoRaWAN. The thesis shows how to use software-defined radio to listen to LoRaWAN communication. Lastly, a replay attack and fake message over the fake session are performed

High cost is a current problem with modern radar systems. Software-defined radios (SDRs) offer a possible solution for low-cost customizable radar systems. An SDR is a radio communi- cation system where, instead of the traditional radio components implemented in hardware, many of the components are implemented in software on a computer or embedded system. Although SDRs were originally designed for wireless communication systems, the firmware of an SDR can be configured into a radar system. With new companies entering the market, various types of low- cost SDRs have emerged. This thesis explores the use of a LimeSDR-Mini in a short-range radar through open software tools and custom code. The LimeSDR-Mini is successfully shown to detect targets at a short range. However, due to the instability of the LimeSDR-Mini, the consistent detection of a target is not possible. This thesis shows how the LimeSDR is characterized and how timing synchronization and instability issues are mitigated. The LimeSDR-Mini falls short of operating reliable in a radar system and other SDR boards need to be explored as viable options. Test setups using coaxial cables and test setups using antennas in an outdoor environment show the instability of the LimeSDR-Mini. The transmitter and the receiver are asynchronous. The timing difference varies slightly from run to run, which results in issues that are exacerbated in a short-range radar. The bleed-through signal is the signal leakage from the transmitter to the receiver. The bleed-through signal prevents the detection of targets at a short-range. Feed-through nulling is a signal processing technique used to eliminate the bleed-through signal so that short- range targets can be detected. The instability of the LimeSDR-Mini reduces the effectiveness of feed-through nulling techniques.

<p>Pametna elektroenergetska mreža predstavlja mrežu nove generacije koja treba da bude efikasna, proširiva, pouzdana i jednostavna za upravljanje. Pametnu mrežu karakteriše veliki broj uređaja i dvosmerna komunikacija sa njima. Ovi uređaji će generisati ogromne količine podataka koje je potrebno pročitati i transportovati do kontrolnog centra, za šta je neophodna odgovarajuća komunikaciona infrastruktura koja obezbeđuje adekvatan kvalitet usluge. U ovoj disertaciji je prikazano rešenje za obezbeđivanje kvaliteta usluge sabraćaja sa dinamičkim promenama prioriteta i propusnog opsega bazirano na programabilnim računarskim mrežama. Takođe je razvijena platforma za evaluaciju komunikacione infrastrukture pametnih mreža kako bi se omogućilo jednostavnije emuliranje različitih mrežnih topologija za potrebe razvoja novih algoritama upravljanja. Performanse rešenja su potvrđene putem šest testnih scenarija i pokazano je da predstavljeno rešenje daje bolje rezultate za sve scenarije sa aspekta obezbeđivanja propusnog opsega i mrežnog kašnjenja.</p> / <p>Smart grid represents the next generation power network which should be efficient, extensible, reliable and easy to manage. The smart grid will have a great number of devices with two-way communication. These devices will generate large amount of data that needs to be read and transported to utility control center, which further requires adequate communication infrastructure with appropriate quality of service. This dissertation presents a solution for providing quality of service for traffic with dynamic priority and bandwidth requirements, based on software defined networks. The platform for smart grid communication infrastructure evaluation is developed to enable easy emulation of different network topologies for the purpose of developing new control algorithms. Solution performance is verified using six test scenarios and it is shown that the proposed solution gives better results for all scenarios from the aspect of bandwidth provision and network latency.</p>