Depuis plusieurs années, les technologies de l’information et de la communication connaissent un développement spectaculaire. Le trafic d’information augmente exponentiellement alors que l’évolution de l’efficacité énergétique des réseaux, définie généralement comme le rapport entre l’énergie utile en sortie du système et l’énergie totale fournie au système, n’augmente que de manière linéaire. Pour soutenir la demande de trafic, il est alors nécessaire de multiplier les équipements réseaux ce qui augment la facture énergétique des opérateurs et les émissions de gaz carbonique. Devant l’urgence de la situation, de nombreux projets et consortiums ont été créés avec l’objectif de renforcer l’efficacité énergétique des réseaux. Par exemple, le consortium GreenTouch™ fondé en 2010 a pour objectif d’améliorer l’efficacité énergétique des réseaux d’un facteur 1000 d’ici 2015 et de réduire leur consommation énergétique de 90% d’ici 2020 (par rapport à 2010). Le projet METIS a pour objectif de définir les télécommunications de 2020 (5G) cherche des solutions efficaces minimisant les coûts, les ressources et la consommation énergétique. Le projet MiWEBA qui intègre les ondes millimétrique aux communications mobiles dans le but d’augmenter la capacité du réseau d’un facteur 1000 avec un coût raisonnable.Dans cette thèse, nous abordons deux solutions répondant aux challenges de la 5G et permettant de réduire les niveaux des puissances rayonnées par les systèmes de télécommunications : l’amélioration de la couche physique via les techniques de focalisation spatiale et l’adaptation de lien multi-technologies. L’objectif principal de la thèse est de réaliser des transmissions de données très haut débit à forte efficacité énergétique à l’aide d’une connectivité multi-technologies sans coutures y compris dans des réseaux comprenant une multitude de périphériques à faible complexité.L’organisation de la thèse est la suivante : tout d’abord, l’implémentation de techniques de focalisation spatiale, le Retournement Temporel (RT) et l’EGT (Equal Gain Transmission), dans un système utilisant les dernières évolutions du standard IEEE 802.11, notamment l’intégration d’une composante 60 GHz, est étudiée. Les performances de ces techniques sont analysées de manière à identifier les conditions optimales de leur utilisation et il est montré qu’avec un minimum de deux antennes de transmission, elles permettent d’améliorer les performances énergétiques des systèmes tout en ayant une faible complexité d’implémentation. Des modifications du standard permettant d’augmenter l’efficacité énergétique sont également proposées. Une analyse cross-layer est ensuite réalisée afin de définir protocoles d’estimation de canal tenant compte des spécificités du RT. De plus, les améliorations énergétiques liées à l’utilisation du RT sont confirmées en tenant compte des dégradations des performances de la couche de liaison. Enfin, une métrique d’occupation temporelle est définie et associée à des techniques d’adaptation de lien mono et multi-technologies existantes dans le but d’améliorer la sélection d‘interfaces de transmission pour augmenter l’efficacité énergétique sans affecter les performances des systèmes utilisant un accès aléatoire au canal de communication. L’utilisation de cette métrique permet, dans certaines configurations, d’augmenter d’un facteur sept l’efficacité énergétique d’un système utilisant le Wi-Fi et, dans le cas multi-technologies, de répartir le trafic sur les différentes interfaces de transmission afin d’éviter la saturation des canaux de communication. / Over the past few years, information and communications technologies have experienced a spectacular development. Traffic demand grows exponentially while energy efficiency of networks –usually defined as the ratio between delivered power and supplied power- only increases linearly. In order to supply the data traffic, it is necessary to duplicate networks equipments increasing energy costs for operators and carbon dioxide emissions. To face this dramatic situation, several projects and consortiums have been created and aim to increase networks energy efficiency. For instance, the GreenTouch™ consortium funded in 2010 aims to improve networks energy efficiency by a factor 1000 by 2015 and to reduce energy consumption of TICs by 90% by 2020 (compared with 2010 levels). METIS project aims to define 2020s communications (5G) search for efficient solutions with low costs, low resources use and low power consumption of systems. MiWEBA project brings millimeter-waves into the mobile radio word to extend the network capacity by 1000 at reasonable cost.In this thesis we study two solutions to answer 5G challenges and reduce radiated power levels of telecommunications systems: physical layer improvements through spatial focalization techniques and multi-technologies link adaptation. This thesis main goal is to achieve very high data transmission rates with high energy efficiency and seamless connectivity using multiple-interfaces technologies even in networks composed of a high number of low-complexity devices.The thesis is organized as follows: first, Time Reversal (TR) and Equal Gain Transmission (EGT) implementation is studied and applied to a system using the latest amendments of IEEE 802.11 standard, including 60 GHz transmissions. Performance of these techniques is analyzed in order to identify optimal conditions of use and it is shown that they only require a minimum of two transmit antennas to increase the energetic performance of systems while having a low implementation complexity. Standard modifications allowing an increase of energy efficiency are proposed. Then, a cross-layer analysis is performed to define channel estimation protocols taking TR specificities into account. Moreover, TR energetic benefits are validated considering its drawbacks at the link layer level. Finally, a time-availability metric is defined and associated to existing mono or multi-technologies adaptation techniques and aim to increase energy efficiency without degrading the performance of systems using random access to the communication channel. This metrics allows –in some configurations- to increase by a factor seven the energy efficiency of a system using Wi-Fi and, in a multi-technologies scenario, to allocate the data traffic to the several interfaces in order to avoid communication channels saturation.

<div>With the constant advancement of modern radio technology, the safety of radio communication has become a growing concern for us. Communication has become an essential component, particularly in the application of modern technology such as unmanned aerial vehicle (UAV). As a result, it is critical to ensure that a drone can fly safely and reliably while completing duties. Simultaneously, machine learning (ML) is rapidly developing in the twenty-first century. For example, ML is currently being used in social media and digital marking for predicting and addressing users' varies interests. This also serves as the impetus for this thesis. The goal of this thesis is to combine ML and radio communication to identify and classify UAV interference with high accuracy.</div><div>In this work, a ML approach is explored for detecting and classifying jamming attacks against orthogonal frequency division multiplexing (OFDM) receivers, with applicability to UAVs. Four types of jamming attacks, including barrage, protocol-aware, single-tone, and successive-pulse jamming, are launched and analyzed using software-defined radio (SDR). The jamming range, launch complexity, and attack severity are all considered qualitatively when evaluating each type. Then, a systematic testing procedure is established, where a SDR is placed in the vicinity of a drone to extract radiometric features before and after a jamming attack is launched. Traditional ML methods are used to create classification models with numerical features such as signal-to-noise ratio (SNR), energy threshold, and important OFDM parameters. Furthermore, deep learning method (i.e., convolutional neural networks) are used to develop classification models trained with spectrogram images filling in it. Quantitative indicators such as detection and false alarm rates are used to evaluate the performance of both methods. The spectrogram-based model correctly classifies jamming with a precision of 99.79% and a false-alarm rate of 0.03%, compared to 92.20% and 1.35% for the feature-based counterpart.</div>

Dans cette thèse une étude des performances des systèmes OFDM et FBMC/OQAM en présence d'amplificateur de puissance sans mémoire en terme de TEB est présentée. Ensuite, nous avons proposé une technique de linéarisation d'AP par pré-distorsion adaptative neuronale. Aussi, nous avons proposé deux techniques de correction des non-linéarités au niveau du récepteur. / In our work, we have studied the impact of in-band non linear distortions caused by PA on both OFDM and FBMC/OQAM systems. A theoretical approach was proposed to evaluate the BER performance for the two systems. This approach is based on modeling the in-band non-linear distortion with a complex gain and an uncorrelated additive white Gaussian noise, given by the Bussgang theorem. Then, we have proposed different techniques to compensate this NLD either on the transmitter or the receiver sides.

La recherche dans le domaine des communications sur fibres optiques avance à un rythme rapide afin de satisfaire des demandes croissantes de communications à débits élevés. Les principaux moteurs de ces avancements sont la multitude de degrés de liberté offerts par la fibre permettant ainsi la transmission de plus de données: l'amplitude, la phase et l'état de polarisation du champ optique, ainsi que le temps et la longueur d'onde sont déjà utilisés dans les systèmes de transmission optique déployés. Pourtant, ces systèmes s'approchent de leur limite fondamentale de capacité et un degré supplémentaire: "la dimension spatiale" est étudié pour réaliser un saut qualitatif majeur en termes de capacité de transmission. Cependant, l'insertion de plusieurs flux de données dans le même canal de propagation induit également des pertes différentielles et de la diaphonie entre les flux, ce qui peut fortement réduire la qualité du système de transmission. Dans cette thèse, nous nous concentrons sur les systèmes de transmission optique de type MIMO basés sur un multiplexage en polarisation ou en modes de propagation. Dans les deux cas, nous évaluons la dégradation de la performance provoquée par une interférence inter-canaux non-unitaire et des disparités de gain entre les canaux engendrées par des imperfections dans les composants optiques utilisés (fibres, amplificateurs, multiplexeurs...), et proposons pour les combattre, de nouvelles techniques de codage pour les systèmes MIMO nommées "codes Spatio-Temporels" (ST), préalablement conçues pour les systèmes radios multi-antennaires. / Research in the field of optical fiber communications is advancing at a rapid pace in order to meet the growing needs for higher data rates. The main driving forces behind these advancements are the availability of multiple degrees of freedom in the optical fiber allowing for multiplexing more data: amplitude, phase and polarization state of the optical field, along with time and wavelength are already used in the deployed optical transmission systems. Yet, these systems are approaching their theoretical capacity limits and an extra dimension "space" is investigated to achieve the next capacity leap. However, packing several data channels in the same medium brings with it differential impairments and crosstalk that can seriously deteriorate the performance of the system. In this thesis, we focus on recent optical MIMO schemes based on polarization division multiplexing (PDM) and space division multiplexing (SDM). In both, we assess the performance penalties induced by non-unitary crosstalk and loss disparities among the channels arising from imperfections in the used optical components (fibers, amplifiers, multiplexers...), and suggest novel MIMO coding techniques known as Space-Time (ST) codes, initially designed for wireless multi-antenna channels, to mitigate them.

An abstract of the thesis of Bosi Chen for the Master of Science in Electrical and Computer Engineering presented Aug 1st, 2012. Title: Spectrum Regrowth for OFDM-based LTE and WiMAX Systems. In OFDM-based (Orthogonal Frequency Dimension Multiplexing) LTE (Long Term Evolution) and WiMAX (Worldwide Interoperability for Microwave Access) Systems, one of the critical components is the RF power amplifier. With current technologies, RF power amplifiers are not perfectly linear. The nonlinearity of an RF power amplifier is one of the main concerns in RF power amplifier design. The nonlinearity control is described by the out-of-band power emission levels, and the nonlinearity of an RF power amplifier is usually described by IP3 (the third-order intercept point). However, there is need of a clear relationship or expression between the out-of-band power emission level and IP3 for LTE and WiMAX Systems, which helps the RF designers to choose components. This thesis presents the analysis of the nonlinear effect of an RF amplifier in LTE and WiMAX Systems, and the derivation of the expressions for the estimated out-of-band emission levels for LTE and WiMAX signals in terms of IP3 and the power level of the signal. The result will be helpful for RF engineers in the design and test of RF power amplifiers in LTE and WiMAX Systems.

Emerging Ultra Wideband (UWB) Orthogonal Frequency Division Multiplexing (OFDM) systems hold the promise of delivering wireless data at high speeds, exceeding hundreds of megabits per second over typical distances of 10 meters or less. The purpose of this Thesis is to estimate the timing accuracies required with such systems in order to achieve Bit Error Rates (BER) of the order of magnitude of 10-12 and thereby avoid overloading the correction of irreducible errors due to misaligned timing errors to a small absolute number of bits in error in real-time relative to a data rate of hundreds of megabits per second. Our research approach involves managing bit error rates through identifying maximum timing synchronization errors. Thus, it became our research goal to determine the timing accuracies required to avoid operation of communication systems within the asymptotic region of BER flaring at low BERs in the resultant BER curves. We propose pushing physical layer bit error rates to below 10-12 before using forward error correction (FEC) codes. This way, the maximum reserve is maintained for the FEC hardware to correct for burst as well as recurring bit errors due to corrupt bits caused by other than timing synchronization errors.

Surface acoustic wave (SAW) sensors offer a wireless, passive sensor solution for use in numerous environments where wired sensing can be expensive and infeasible. Single carrier frequency SAW sensor embodiments such as delay lines, and resonators have been used in single sensor environments where sensor identification is not a necessity. The orthogonal frequency coded (OFC) SAW sensor tag embodiment developed at UCF uses a spread spectrum approach that allows interrogation in a multi-sensor environment and provides simultaneous sensing and sensor identi- fication. The SAW device is encoded via proper design of multiple Bragg reflectors at differing frequencies. To enable accurate device design, a model to predict reflectivity over a wide range of electrode metallization ratios and metal thicknesses has been developed and implemented in a coupling of modes (COM) model. The high coupling coefficient, reflectivity and temperature coefficient of delay (TCD) of YZ LiNbO3 makes it an ideal substrate material for a temperature sensor, and the reflectivity model has been developed and verified for this substrate. A new concept of pseudo-orthogonal frequency coded (POFC) SAW sensor tags has been investigated, and with proper design, the POFC SAW reduces device insertion loss and fractional bandwidth compared to OFC. OFC and POFC sensor devices have been fabricated at 250 MHz and 915 MHz using fundamental operation, and 500 MHz and 1.6 GHz using second harmonic operation. Measured device results are shown and compared with the COM simulations using the iii enhanced reflectivity model. Additionally, the first OFC devices at 1.05 GHz were fabricated on 128o YX LiNbO3 to explore feasibility of the material for future use in OFC sensor applications. Devices at 915 MHz have been fabricated on YZ LiNbO3 and integrated with an antenna, and have then been used in a transceiver system built by Mnemonics, Inc. to wirelessly sense temperature. The first experimental wireless POFC SAW sensor device results and predictions will be presented.

The objective of this research work is to investigate, design and measurement of a digital predistortion linearizer that is able to compensate the dynamic nonlinear distortion of a High Power Amplifier (PA). The effectiveness of the proposed baseband predistorter (PD) on the performance of a WLAN OFDM transmitter utilizing a nonlinear PA with memory effect is observed and discussed. For this purpose, a 10W Class-A/B power amplifier with a gain of 22 dB, operated over the 3.5 GHz frequency band was designed and implemented. The proposed baseband PD is independent of the operating RF frequency and can be used in multiband applications. Its operation is based on the Hammerstein system, taking into account PA memory effect compensation, and demonstrates a noticeable improvement compared to memoryless predistorters. Different types of modelling procedures and linearizers were introduced and investigated, in which accurate behavioural models of Radio Frequency (RF) PAs exhibiting linear and nonlinear memory effects were presented and considered, based on the Wiener approach employing a linear parametric estimation technique. Three new linear methods of parameter estimation were investigated, with the aim of reducing the complexity of the required filtering process in linear memory compensation. Moreover, an improved wiener model is represented to include the nonlinear memory effect in the system. The validity of the PA modelling approaches and predistortion techniques for compensation of nonlinearities of a PA were verified by several tests and measurements. The approaches presented, based on the Wiener system, have the capacity to deal with the existing trade-off between accuracy and convergence speed compared to more computationally complex behavioural modelling algorithms considering memory effects, such as those based on Volterra series and Neural Networks. In addition, nonlinear and linear crosstalks introduced by the power amplifier nonlinear behaviour and antennas mutual coupling due to the compact size of a MIMO OFDM transmitter have been investigated.

First part of this thesis presents the design, validation, and implementation of an Orthogonal Frequency Division Multiplexing (OFDM) transmitter and receiver on a Cyclone II FPGA chip using DSP builder and Quartus II high level design tools. The resources in terms of logical elements (LE) including combinational functions and logic registers allocated by the model have been investigated and addressed. The result shows that implementing the basic OFDM transceiver allocates about 14% (equivalent to 6% at transmitter and 8% at receiver) of the available LE resources on an Altera Cyclone II EP2C35F672C6 FPGA chip, largely taken up by the FFT, IFFT and soft decision encoder. Secondly, a new wavelet-based OFDM system based on FDPP-DA based channel estimation is proposed as a reliable ECG Patient Monitoring System, a Personal Wireless telemedicine application. The system performance for different wavelet mothers has been investigated. The effects of AWGN and multipath Rayleigh fading channels have also been studied in the analysis. The performances of FDPP-DA and HDPP-DA-based channel estimations are compared based on both DFT-based OFDM and wavelet-based OFDM systems. The system model was studied using MATLAB software in which the average BER was addressed for randomized data. The main error differences that reflect the quality of the received ECG signals between the reconstructed and original ECG signals are established. Finally a DA-based architecture for 1-D iDWT/DWT based on an OFDM model is implemented for an ECG-PMS wireless telemedicine application. In the portable wireless body transmitter unit at the patient site, a fully Serial-DA-based scheme for iDWT is realized to support higher hardware utilization and lower power consumption; whereas a fully Parallel-DA-based scheme for DWT is applied at the base unit of the hospital site to support a higher throughput. It should be noted that the behavioural level of HDL models of the proposed system was developed and implemented to confirm its correctness in simulation. Then, after the simulation process the design models were synthesised and implemented for the target FPGA to confirm their validation.

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