Les systèmes de communication à intensité optique en espace libre (FSOI) sont largement utilisés dans les communications à courte portée, telles que les communications infrarouges entre des dispositifs électroniques portables. L’émetteur de ces systèmes module sur l’intensité des signaux optiques émis par des diodes électroluminescentes (LEDs) ou des diodes laser (LDs), et le récepteur mesure les intensités optiques entrantes au moyen de photodétecteurs. Les entrées ne sont pas négatives car elles représentent des intensités. En outre, ils sont généralement soumis à des contraintes de puissance de pointe et moyenne, la contrainte de puissance de pointe étant principalement dû aux limitations techniques des composants utilisés, alors que la contrainte de puissance moyenne est imposée par des limitations de batterie et des considérations de sécurité. En première approximation, le bruit dans de tels systèmes peut être supposé être gaussien et indépendant du signal transmis. Cette thèse porte sur les limites fondamentales des systèmes de communication FSOI, plus précisément sur leur capacité. L’objectif principal de notre travail est d’étudier la capacité d’un canal FSOI général à entrées multiples et sorties multiples (MIMO) avec une contrainte de puissance de crête par entrée et une contrainte de puissance moyenne totale sur toutes les antennes d’entrée. Nous présentons plusieurs résultats de capacité sur le scénario quand il y a plus d’antennes d’émission que d’antennes de réception, c’est à-dire, nT > nR > 1. Dans ce scénario, différents vecteurs d’entrée peuvent donner des distributions identiques à la sortie, lorsqu’ils aboutissent au même vecteur d’image multiplié par la matrice de canal. Nous déterminons d’abord les vecteurs d’entrée d’énergie minimale permettant d’atteindre chacun de ces vecteurs d’image. Il définit à chaque instant dans le temps un sous-ensemble de nT − nR antennes à zéro ou à pleine puissance et utilise uniquement les nR antennes restantes pour la signalisation. Sur cette base, nous obtenons une expression de capacité équivalente en termes de vecteur d’image, ce qui permet de décomposer le canal d’origine en un ensemble de canaux presque parallèles. Chacun des canaux parallèles est un canal MIMO nR x nR à contrainte d’amplitude, avec une contrainte de puissance linéaire, pour laquelle des limites de capacité sont connues. Avec cette décomposition, nous établissons de nouvelles limites supérieures en utilisant une technique de limite supérieure basée sur la dualité, et des limites inférieures en utilisant l’inégalité de puissance d’entropie (EPI). Les limites supérieure et inférieure dérivées correspondent lorsque le rapport signal sur bruit (SNR) tend vers l’infini, établissant la capacité asymptotique à haut SNR. À faible SNR, il est connu que la pente de capacité est déterminée par la trace maximale de la matrice de covariance du vecteur image. Nous avons trouvé une caractérisation de cette trace maximale qui est plus facile à évaluer en calcul que les formes précédentes. / Free-space optical intensity (FSOI) communication systems are widely used in short-range communication such as the infrared communication between electronic handheld devices. The transmitter in these systems modulates on the intensity of optical signals emitted by light emitting diodes (LEDs) or laser diodes (LDs), and the receiver measures incoming optical intensities by means of photodetectors. Inputs are nonnegative because they represent intensities. Moreover, they are typically subject to both peak- and average-power constraints, where the peak-power constraint is mainly due to technical limitations of the used components, whereas the average-power constraint is imposed by battery limitations and safety considerations. As a first approximation, the noise in such systems can be assumed to be Gaussian and independent of the transmitted signal. This thesis focuses on the fundamental limits of FSOI communication systems, more precisely on their capacity. The major aim of our work is to study the capacity of a general multiple-input multiple-output (MIMO) FSOI channel under a per-input-antenna peak-power constraint and a total average-power constraint over all input antennas. We present several capacity results on the scenario when there are more transmit than receive antennas, i.e., nT > nR > 1. In this scenario, different input vectors can yield identical distributions at the output, when they result in the same image vector under multiplication by the channel matrix. We first determine the minimum-energy input vectors that attain each of these image vectors. It sets at each instant in time a subset of nT − nR antennas to zero or to full power, and uses only the remaining nR antennas for signaling. Based on this, we derive an equivalent capacity expression in terms of the image vector, which helps to decompose the original channel into a set of almost parallel channels. Each of the parallel channels is an amplitude-constrained nR⇥nR MIMO channel, with a linear power constraint, for which bounds on the capacity are known. With this decomposition, we establish new upper bounds by using a duality-based upper-bounding technique, and lower bounds by using the Entropy Power Inequality (EPI). The derived upper and lower bounds match when the signal-to-noise ratio (SNR) tends to infinity, establishing the high-SNR asymptotic capacity. At low SNR, it is known that the capacity slope is determined by the maximum trace of of the covariance matrix of the image vector. We found a characterization to this maximum trace that is computationally easier to evaluate than previous forms.

京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第20031号 / 情博第626号 / 新制||情||109(附属図書館) / 33127 / 京都大学大学院情報学研究科通信情報システム専攻 / (主査)教授 守倉 正博, 教授 原田 博司, 教授 梅野 健 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DGAM

Multi-antenna communication systems are attracting research interest as a means to increase the information capacity, reliability, and spectral efficiency of wireless information transfer. Ray-tracing methods predict the behavior of wireless channels using a model of the propagation environment and are a low-cost alternative to direct measurements. We use ray tracing simulations to validate the statistical time and angle of arrival characteristics of an indoor multipath channel and compare model parameter estimates with estimates derived from channel sounding measurements. Ray tracing predicts the time and angle clustering of multipaths observed in the measurements and provides model parameter estimates which are closely correlated with measured estimates. The ray tracing parameters relating to power characteristics show more deviation from measurements than the time and angle related parameters. Our results also indicate that the description of reflective scatterers in the propagation environment is more important to the quality of the predicted statistical behavior than the description of bulk materials. We use a ray synthesis model to investigate means of efficiently representing the channel for feedback information to the transmitter as a means to increase the information capacity. Several methods of selecting the ray-model feedback information are demonstrated with results from simulated and measured channels. These results indicate that an ESPRIT algorithm coupled with ad hoc transmit/receive pairing can yield better than 90% of the ideal waterfilling capacity when adequate training-based channel estimates are available. Additionally, we investigate a covariance feedback method for providing channel feedback for increased capacity. Both the ray-based and covariance-based feedback methods yield their highest capacity improvements when the signal to noise ratio is low. This results because of the larger benefit of focusing transmit power into the most advantageous eigenmodes of the channel when fewer eigenmodes have power allocated to them by the waterfilling capacity solution. In higher signal to noise ratio cases, more eigenmodes of the channel receive power when waterfilling, and the capacity improvement from feedback information decreases relative to a uniform power allocation. In general, ray model feedback methods are preferable because the covariance feedback quickly requires higher computational effort as the array sizes increase and typically results in lower capacity for a given amount of feedback information.

Data networks are an important part in an increasing number of applications with real-time and reliability requirements. To meet these demands a variety of approaches have been proposed. Forward error correction, which adds redundancy to the communicated data, is one of them. However, the redundancy occupies communication bandwidth, so it is desirable to control the amount of redundancy in order to achieve high reliability without adding excessive communication delay. The main contribution of the thesis is to formulate the problem of adjusting the redundancy in a control framework, which enables the dynamic properties of error correction control to be analyzed using control theory. The trade-off between application quality and resource usage is captured by introducing an optimal control problem. Its dependence on the knowledge of the network state at the transmission side is discussed. An error correction controller that optimizes the amount of redundancy without relying on network state information is presented. This is achieved by utilizing an extremum seeking control algorithm to optimize the cost function. Models with varying complexity of the resulting feedback system are presented and analyzed. Conditions for convergence are given. Multiple-input describing function analysis is used to examine periodic solutions. The results are illustrated through computer simulations and experiments on a wireless sensor network. / QC 20101105

This thesis report details the design and construction of non-isolated DC-DC converters to create a Multiple Input Single Output (MISO) converter for combining multiple renewable energy sources into one single output. This MISO uses the four-switch buck-boost topology to output a single 48V from multiple nominal 24V inputs. The MISO converter implements a modular approach to deliver 1800W output power. Each module in the MISO is rated at 600W and they share the output power equally. Hardware results show that the converter produces 1800W of output power from three sources with 96.4% efficiency. Each module also demonstrates equal sharing feature of the MISO converter.

Yes / The paper presents the general requirements and an exemplary design of the RF front-end system that in today's handset is a key consumer of power. The design is required to minimize the carbon footprint in mobile handsets devices, whilst facilitating cooperation, and providing the energy-efficient operation of multi-standards for 5G communications. It provides the basis of hardware solutions for RF front-end integration challenges and offers design features covering energy efficiency for power amplifiers (PAs), Internet of Things (IoT) controlled tunable filters and compact highly isolated multiple-input and multiple-output (MIMO) antennas. An optimum design requires synergetic collaboration between academic institutions and industry in order to satisfy the key requirements of sub-6 GHz energy-efficient 5G transceivers, incorporating energy efficiency, good linearity and the potential for low-cost manufacturing. A highly integrated RF transceiver was designed and implemented to transmit and receive a picture using compact MIMO antennas integrated with efficient tunable filters and high linearity PAs. The proposed system has achieved a bit error rate (BER) of less than 10-10 at a data rate of 600 Mb/s with a wireless communication distance of more than 1 meter and power dissipation of 18-20 mW using hybrid beamforming technology and 64-QAM modulation. / 10.13039/100010665-H2020 Marie Skodowska Curie

This thesis explores the practical application of Physical Layer Security (PLS) inMultiple-Input Multiple-Output (MIMO) systems, particularly focusing on ShortPacket Communication (SPC). The aim is to enhance the security of wireless com-munications against eavesdropping threats. By employing advanced techniques suchas Maximum Ratio Transmission (MRT) and Maximum Ratio Combining (MRC),along with Beamforming, the study demonstrates how these methods can signifi-cantly strengthen the signal integrity in MIMO systems.In developing a comprehensive system model that integrates PLS into MIMO,the research provides a dual approach of evaluation. Rigorous theoretical analy-sis coupled with MATLAB simulations are utilized to validate the effectiveness ofthe proposed model. These methods not only underscore the feasibility of PLSin real-world applications but also highlight the potential improvements in wirelesscommunication security, offering a valuable contribution to the field.

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