Application of multivariable control using artificial neural networks in a debutanizer distillation column

LOPES, Jose Soares Batista et al. Application of multivariable control using artificial neural networks in a debutanizer distillation column.In: INTERNATIONAL CONGRESS OF MECHANICAL ENGINEERING - COBEM, 19, 5-9 nov. 2007, Brasilia. Anais... Brasilia, 2007

Inter-carrier interference mitigation for underwater acoustic communications

Communicating at a high data rate through the ocean is challenging. Such communications must be acoustic in order to travel long distances. The underwater acoustic channel has a long delay spread, which makes orthogonal frequency division multiplexing (OFDM) an attractive communication scheme. However, the underwater acoustic channel is highly dynamic, which has the potential to introduce significant inter-carrier interference (ICI). This thesis explores a number of means for mitigating ICI in such communication systems. One method that is explored is directly adapted linear turbo ICI cancellation. This scheme uses linear filters in an iterative structure to cancel the interference. Also explored is on-off keyed (OOK) OFDM, which is a signal designed to avoid ICI.

Precoder Detection for Cooperative Decode-and-Forward Relaying in OFDMA Systems

We consider an LTE network where a secondary user acts as a relay, transmitting data to the primary user using a decode-and-forward mechanism, transparent to the base-station (eNodeB). Clearly, the relay can decode symbols more reliably if the employed precoder matrix indicators (PMIs) are known. However, for closed loop spatial multiplexing (CLSM) transmit mode, this information is not always embedded in the downlink signal, leading to a need for effective methods to determine the PMI. In this thesis, we consider 2x2 MIMO and 4x4 MIMO downlink channels corresponding to CLSM and formulate two techniques to estimate the PMI at the relay using a hypothesis testing framework. We evaluate their performance via simulations for various ITU channel models over a range of SNR and for different channel quality indicators (CQIs). We compare them to the case when the true PMI is known at the relay and show that the performance of the proposed schemes are within 2 dB at 10% block error rate (BLER) in almost all scenarios. Furthermore, the techniques add minimal computational overhead over existent receiver structure. Finally, we also identify scenarios when using the proposed precoder detection algorithms in conjunction with the cooperative decode-and-forward relaying mechanism benefits the PUE and improves the BLER performance for the PUE. Therefore, we conclude from this that the proposed algorithms as well as the cooperative relaying mechanism at the CMR can be gainfully employed in a variety of real-life scenarios in LTE networks.

Rozwój technologiczny samolotów myśliwskich, a ich taktyka w Royal Air Force oraz US Army Air Force na zachodnioeuropejskim tetrze działań operacyjnych podczas II wojny światowej w latach 1939 – 1944

Wydział Historyczny: Instytut Historii

Kryzys demokracji liberalnej - wybrane problemy rządzenia, legitymizacji i reprezentacji

Główna problematyka zawarta w tekście dotyczy: (1) znaczenia i zakresu kryzysu w gospodarce i polityce, (2) przyjęcia przez państwo i społeczeństwo logiki racjonalności ekonomicznej jako paradygmatu postępowania, (3) przewartościowania pojęcia polityki, co wiąże się m.in. z przyjęciem przez rządzących roli zarządców wybranych sfer państwa oraz z posługiwaniem się przez nich logiką „mieszanej racjonalności” („logiką władzy” i „logiką racjonalności ekonomicznej”), (4) wyzwań związanych z dystrybucją dóbr, (5) reprezentacji i legitymizacji w demokracji liberalnej. Gospodarka kapitalistyczna wpływa na wszystkie sfery życia społecznego, co zmusza do przedstawienia jej „modus operandi”. Charakterystyczne cechy oddziaływania to: (1) racjonalność formalna, (2) dogmat efektywności i ilościowej mierzalności, (3) reprodukcja ideologii mówiącej o wolnej woli jednostki, niezależnie od kontekstu społecznego, (4) wymuszanie odpowiedniej dla siebie reprodukcji siły roboczej, (5) kolonizacja kolejnych sfer aktywności społecznej (np. edukacji i szkolnictwa wyższego), (6) wpływ na wykluczenie grup społecznych ze względu na poziom zabezpieczenia materialnego. Wszystko to sprowadzić można do pojęcia logiki racjonalności ekonomicznej. Rządzący posługują się „mieszaną strategią”, która oparta jest na dwóch logikach postępowania – (1) logice władzy, (2) logice racjonalności ekonomicznej. Logika władzy to nic innego jak dążenie do zdobycia i utrzymania władzy, gdzie władza sama w sobie staje się celem, natomiast struktury państwa stanowią przestrzeń, którą należy przejąć lub opanować. Rządzący aby ukryć swoją bezideowość i konflikty w walce o przejęcie struktur państwa uprawiają politykę „na zewnątrz”, która przyjmuje formę „festiwalu” agonicznego dyskursu. Taka polityka możliwa jest dzięki rozdawnictwu podczas redystrybucji dóbr (niezgodnie z racjonalnością ekonomiczną) lub/i dzięki instrumentalnemu traktowaniu dystrybucji uznania. W związku z niemożnością utrzymania wysokiego poziomu rozdawnictwa, szczególnie w sytuacji kryzysu gospodarczego, rządzący chętnie posługują się logiką racjonalności ekonomicznej. Rozwiązania oparte na racjonalności ekonomicznej, mimo ich negatywnego odbioru przez społeczeństwo, wprowadzane są przy zastosowaniu argumentacji zagrożenia bezpieczeństwa (gospodarczego, socjalnego, narodowego itd.). Tym samym państwo wycofuje się z rządzenia na rzecz zarządzania niektórymi sferami państwa. Nie można tego nazwać inaczej jak „ucieczką” od odpowiedzialności, co jest szczególnie zauważalne w sytuacjach destabilizacji gospodarczej. W takich sytuacjach mamy do czynienia z „outsourcingiem zadań” państwa, co przyjmować może różne formy – (1) przenoszenie funkcji na inne instytucje przy zachowaniu kompetencji kontrolnych lub (2) przenoszenie obowiązków na inne własne instytucje, które wcześniej pełniły inną rolę. Wszystko to można nazwać rekonfiguracją funkcji państwa w związku z dominacją gospodarki kapitalistycznej i oddziaływaniem logiki racjonalności ekonomicznej. W tekście podjęto również problem dystrybucji dóbr i uznania, jednakże jedynie w aspekcie jej instrumentalizacji przez rządzących. Można wysunąć tezę, że liberalne koncepcje wolności jednostki oraz priorytet dla własności prowadzą do łatwiejszego ideologicznego uzasadnienia stosowania mieszanych strategii i racjonalności. W tekście przedstawiono też tezę o instrumentalizacji dystrybucji dóbr, tzn. instrumentalnego wykorzystywania dowartościowania różnych mniejszości w ramach systemu politycznego. Należy też stwierdzić, że dominacja logiki wolnego rynku prowadzi do deprecjacji redystrybucji dóbr w stosunku do gloryfikacji problematyki uznania. Tekst jest jedynie zarysowaniem problematyki wyczerpywania się formuły demokracji liberalnej, co przedstawiono na wybranych zagadnieniach. Podjęty problem demokracji liberalnej nie skupia się na próbie odtworzenia modelu tego rodzaju demokracji, raczej ważniejsze było stwierdzenie przejmowania w działaniu czegoś, co można określić mianem logiki racjonalności ekonomicznej. Wartą dalszego analizowania jest sama logika „mieszanej racjonalności”, którą sprowadzono do przenikania się „logiki władzy” i „logiki racjonalności ekonomicznej”.

Główne determinanty polityki bezpieczeństwa Izraela na początku XXI wieku

Wydział Nauk Politycznych i Dziennikarstwa

Spójność multimodalnego przekazu reporterskiego w krótkiej relacji telewizyjnej "na żywo"

Wydział Neofilologii

Time-Reversal Massive Multipath Effect and Bandwidth Heterogeneity

The proliferation of new mobile communication devices, such as smartphones and tablets, has led to an exponential growth in network traffic. The demand for supporting the fast-growing consumer data rates urges the wireless service providers and researchers to seek a new efficient radio access technology, which is the so-called 5G technology, beyond what current 4G LTE can provide. On the other hand, ubiquitous RFID tags, sensors, actuators, mobile phones and etc. cut across many areas of modern-day living, which offers the ability to measure, infer and understand the environmental indicators. The proliferation of these devices creates the term of the Internet of Things (IoT). For the researchers and engineers in the field of wireless communication, the exploration of new effective techniques to support 5G communication and the IoT becomes an urgent task, which not only leads to fruitful research but also enhance the quality of our everyday life. Massive MIMO, which has shown the great potential in improving the achievable rate with a very large number of antennas, has become a popular candidate. However, the requirement of deploying a large number of antennas at the base station may not be feasible in indoor scenarios. Does there exist a good alternative that can achieve similar system performance to massive MIMO for indoor environment? In this dissertation, we address this question by proposing the time-reversal technique as a counterpart of massive MIMO in indoor scenario with the massive multipath effect. It is well known that radio signals will experience many multipaths due to the reflection from various scatters, especially in indoor environments. The traditional TR waveform is able to create a focusing effect at the intended receiver with very low transmitter complexity in a severe multipath channel. TR's focusing effect is in essence a spatial-temporal resonance effect that brings all the multipaths to arrive at a particular location at a specific moment. We show that by using time-reversal signal processing, with a sufficiently large bandwidth, one can harvest the massive multipaths naturally existing in a rich-scattering environment to form a large number of virtual antennas and achieve the desired massive multipath effect with a single antenna. Further, we explore the optimal bandwidth for TR system to achieve maximal spectral efficiency. Through evaluating the spectral efficiency, the optimal bandwidth for TR system is found determined by the system parameters, e.g., the number of users and backoff factor, instead of the waveform types. Moreover, we investigate the tradeoff between complexity and performance through establishing a generalized relationship between the system performance and waveform quantization in a practical communication system. It is shown that a 4-bit quantized waveforms can be used to achieve the similar bit-error-rate compared to the TR system with perfect precision waveforms. Besides 5G technology, Internet of Things (IoT) is another terminology that recently attracts more and more attention from both academia and industry. In the second part of this dissertation, the heterogeneity issue within the IoT is explored. One of the significant heterogeneity considering the massive amount of devices in the IoT is the device heterogeneity, i.e., the heterogeneous bandwidths and associated radio-frequency (RF) components. The traditional middleware techniques result in the fragmentation of the whole network, hampering the objects interoperability and slowing down the development of a unified reference model for the IoT. We propose a novel TR-based heterogeneous system, which can address the bandwidth heterogeneity and maintain the benefit of TR at the same time. The increase of complexity in the proposed system lies in the digital processing at the access point (AP), instead of at the devices' ends, which can be easily handled with more powerful digital signal processor (DSP). Meanwhile, the complexity of the terminal devices stays low and therefore satisfies the low-complexity and scalability requirement of the IoT. Since there is no middleware in the proposed scheme and the additional physical layer complexity concentrates on the AP side, the proposed heterogeneous TR system better satisfies the low-complexity and energy-efficiency requirement for the terminal devices (TDs) compared with the middleware approach.

Control para sistemas LPV basado en la parametrización de controladores estabilizantes

Este trabajo se enfoca en el estudio del control de sistemas Multi-Entrada Multi-Salida (MIMO) Lineales con Parámetros Variantes en el Tiempo (LPV). Los parámetros son medibles y permanecen dentro de cotas conocidas. El control por retroalimentación de salida garantiza estabilidad cuadrática (QS) y desempeño, mediante el Teorema de los vértices y el Lema de Cota Real (BRL). Se proponen condiciones para que el sistema retroalimentado sea convexo cuando se utilizan controladores estabilizantes en cada vértice. El controlador LPV resulta de la interpolación de estos controladores, y se estudia la relación entre la estabilidad y el desempeño del control de los vértices, y la estabilidad y desempeño del sistema LPV. Además, se da una forma explícita del parámetro libre de la Parametrización de Todos los Controladores Estabilizantes (PTCE) que resuelve un criterio de sensibilidad mezclada cuando se tiene un modelo de incertidumbre aditivo a la salida. Los resultados se aplican a un robot planar rotacional de dos grados de libertad, a un motor de CD y a un sistema de dos masas.

Cascaded all-optical sub-channel add/drop multiplexing from a 1-Tb/s super-channel having 2-GHz guard-bands

We demonstrate cascaded 100-Gb/s sub-channel add/drop from a 1-Tb/s multi-band OFDM super-channel having 2-GHz inter-sub-channel guard-bands within a recirculating loop via a hierarchical ROADM using high-resolution filters, showcasing 1000-km transmission reach and five ROADM node passages for the add/drop sub-channel when hybrid Raman-EDFA is implemented.

Automotive Radars:towards smarter vehicles

Radars are expected to become the main sensors in various civilian applications, especially for autonomous driving. Their success is mainly due to the availability of low cost integrated devices, equipped with compact antenna arrays, and computationally efficient signal processing techniques. This thesis focuses on the study and the development of different deterministic and learning based techniques for colocated multiple-input multiple-output (MIMO) radars. In particular, after providing an overview on the architecture of these devices, the problem of detecting and estimating multiple targets in stepped frequency continuous wave (SFCW) MIMO radar systems is investigated and different deterministic techniques solving it are illustrated. Moreover, novel solutions, based on an approximate maximum likelihood approach, are developed. The accuracy achieved by all the considered algorithms is assessed on the basis of the raw data acquired from low power wideband radar devices. The results demonstrate that the developed algorithms achieve reasonable accuracies, but at the price of different computational efforts. Another important technical problem investigated in this thesis concerns the exploitation of machine learning and deep learning techniques in the field of colocated MIMO radars. In this thesis, after providing a comprehensive overview of the machine learning and deep learning techniques currently being considered for use in MIMO radar systems, their performance in two different applications is assessed on the basis of synthetically generated and experimental datasets acquired through a commercial frequency modulated continuous wave (FMCW) MIMO radar. Finally, the application of colocated MIMO radars to autonomous driving in smart agriculture is illustrated.

Orthogonal chirp division multiplexing: performance evaluation in the presence of phase noise

In Beyond 5G technologies, Terahertz communications will be used: frequency bands between 100 GHz and 10 THz will be exploited in order to have higher throughput and lower latency. Those frequency bands suffer from several impairments, and it is thought that phase noise is one of the most significant. Orthogonal Chirp Division Multiplexing (OCDM) might be used in Beyond 5G communications, thanks to its robustness to multipath fading: it outperforms Orthogonal Frequency Division Multiplexing (OFDM) systems. The aim of this thesis is to find a suitable model for describing phase noise in Terahertz communications, and to study the performance of an OCDM system affected by this impairment. After this, a simple compensation scheme is introduced, and the improvement that it provides is analysed. The thesis is organized as follow: in the first chapter Terahertz communications and Beyond 5G are introduced, in the second chapter phase noise is studied, in the third chapter OCDM is analysed, and in the fourth chapter numerical results are presented.

User scheduling for low earth orbit multi-user multiple-input-multiple-output non-terrestrial network systems

In rural and isolated areas without cellular coverage, Satellite Communication (SatCom) is the best candidate to complement terrestrial coverage. However, the main challenge for future generations of wireless networks will be to meet the growing demand for new services while dealing with the scarcity of frequency spectrum. As a result, it is critical to investigate more efficient methods of utilizing the limited bandwidth; and resource sharing is likely the only choice. The research community’s focus has recently shifted towards the interference management and exploitation paradigm to meet the increasing data traffic demands. In the Downlink (DL) and Feedspace (FS), LEO satellites with an on-board antenna array can offer service to numerous User Terminals (UTs) (VSAT or Handhelds) on-ground in FFR schemes by using cutting-edge digital beamforming techniques. Considering this setup, the adoption of an effective user scheduling approach is a critical aspect given the unusually high density of User terminals on the ground as compared to the on-board available satellite antennas. In this context, one possibility is that of exploiting clustering algorithms for scheduling in LEO MU-MIMO systems in which several users within the same group are simultaneously served by the satellite via Space Division Multiplexing (SDM), and then these different user groups are served in different time slots via Time Division Multiplexing (TDM). This thesis addresses this problem by defining a user scheduling problem as an optimization problem and discusses several algorithms to solve it. In particular, focusing on the FS and user service link (i.e., DL) of a single MB-LEO satellite operating below 6 GHz, the user scheduling problem in the Frequency Division Duplex (FDD) mode is addressed. The proposed State-of-the-Art scheduling approaches are based on graph theory. The proposed solution offers high performance in terms of per-user capacity, Sum-rate capacity, SINR, and Spectral Efficiency.

Grant-free protocols for massive multiple access

In next generation Internet-of-Things, the overhead introduced by grant-based multiple access protocols may engulf the access network as a consequence of the proliferation of connected devices. Grant-free access protocols are therefore gaining an increasing interest to support massive multiple access. In addition to scalability requirements, new demands have emerged for massive multiple access, including latency and reliability. The challenges envisaged for future wireless communication networks, particularly in the context of massive access, include: i) a very large population size of low power devices transmitting short packets; ii) an ever-increasing scalability requirement; iii) a mild fixed maximum latency requirement; iv) a non-trivial requirement on reliability. To this aim, we suggest the joint utilization of grant-free access protocols, massive MIMO at the base station side, framed schemes to let the contention start and end within a frame, and succesive interference cancellation techniques at the base station side. In essence, this approach is encapsulated in the concept of coded random access with massive MIMO processing. These schemes can be explored from various angles, spanning the protocol stack from the physical (PHY) to the medium access control (MAC) layer. In this thesis, we delve into both of these layers, examining topics ranging from symbol-level signal processing to succesive interference cancellation-based scheduling strategies. In parallel with proposing new schemes, our work includes a theoretical analysis aimed at providing valuable system design guidelines. As a main theoretical outcome, we propose a novel joint PHY and MAC layer design based on density evolution on sparse graphs.

Studio delle prestazioni di un sistema per il sensing basato sulla modulazione OTFS

Questo elaborato tratta lo studio e l'implementazione della modulazione Orthogonal Time Frequency Space (OTFS) in sistemi di tipo Joint Sensing and Communication (JSC), ossia sistemi in cui le funzionalità di comunicazione e "sensing" condividono lo stesso hardware e la stessa banda di frequenze. La modulazione OTFS è una recente tecnica di modulazione bidimensionale, progettata nel dominio delay-Doppler, che sta riscuotendo particolare interesse nel panorama delle telecomunicazioni in quanto portatrice di alcuni importanti vantaggi nei sistemi delle reti cellulari. Rispetto alle moderne modulazioni multi-portante, come l'OFDM, l'OTFS si dimostra essere in grado di offrire prestazioni migliori e più robuste in condizioni di connessioni ad alta velocità (High Mobility), con una maggiore efficienza spettrale, in quanto non prevede l'utilizzo di un prefisso ciclico per la gestione del problema dell'ISI. Un altro punto di forza importante della modulazione OTFS è quello di risultare particolarmente adatta e compatibile con le applicazioni di JSC, soprattutto grazie all'estrema robustezza a grandi spostamenti Doppler, e la possibilità di fare "sensing" raggiungendo distanze decisamente maggiori rispetto all'OFDM, grazie all'assenza del prefisso ciclico. Tutto questo però viene al costo di un notevole incremento del sistema, con tempi di esecuzione molto elevati. Dopo aver presentato il sistema OTFS in generale e in ambito JSC, in un particolare scenario, lo si è implementando in MATLAB sviluppando due versioni: una standard e una a complessità ridotta, in grado di raggiungere risoluzioni molto elevate in tempi di calcolo contenuti. Infine questo sistema, in grado di stimare i parametri radar di distanza e velocità radiale relativa, associati ad un certo target, è stato simulato e i risultati relativi alle performance sulla stima dei parametri, in termini di RMSE e CRLB, sono stati riportati e posti a confronto con quelli ottenuti nel caso OFDM, a parità di scenario.