Vidutinių dažnių 5G belaidžių tinklų galios stiprintuvų tyrimas

This dissertation addresses the problems of ensuring efficient radio fre-quency transmission for 5G wireless networks. Taking into account, that the next generation 5G wireless network structure will be heterogeneous, the device density and their mobility will increase and massive MIMO connectivity capability will be widespread, the main investigated problem is formulated – increasing the efficiency of portable mid-band 5G wireless network CMOS power amplifier with impedance matching networks. The dissertation consists of four parts including the introduction, 3 chapters, conclusions, references and 3 annexes. The investigated problem, importance and purpose of the thesis, the ob-ject of the research methodology, as well as the scientific novelty are de-fined in the introduction. Practical significance of the obtained results, defended state-ments and the structure of the dissertation are also included. The first chapter presents an extensive literature analysis. Latest ad-vances in the structure of the modern wireless network and the importance of the power amplifier in the radio frequency transmission chain are de-scribed in detail. The latter is followed by different power amplifier archi-tectures, parameters and their improvement techniques. Reported imped-ance matching network design methods are also discussed. Chapter 1 is concluded distinguishing the possible research vectors and defining the problems raised in this dissertation. The second chapter is focused around improving the accuracy of de-signing lumped impedance matching network. The proposed methodology of estimating lumped inductor and capacitor parasitic parameters is dis-cussed in detail provi-ding complete mathematical expressions, including a summary and conclusions. The third chapter presents simulation results for the designed radio fre-quency power amplifiers. Two variations of Doherty power amplifier archi-tectures are presented in the second part, covering the full step-by-step de-sign and simulation process. The latter chapter is concluded by comparing simulation and measurement results for all designed radio frequency power amplifiers. General conclusions are followed by an extensive list of references and a list of 5 publications by the author on the topic of the dissertation. 5 papers, focusing on the subject of the discussed dissertation, have been published: three papers are included in the Clarivate Analytics Web of Sci-ence database with a citation index, one paper is included in Clarivate Ana-lytics Web of Science database Conference Proceedings, and one paper has been published in unreferred international conference preceedings. The au-thor has also made 9 presentations at 9 scientific conferences at a national and international level.Dissertatio

Modern Applications in Optics and Photonics: From Sensing and Analytics to Communication

Optics and photonics are among the key technologies of the 21st century, and offer potential for novel applications in areas such as sensing and spectroscopy, analytics, monitoring, biomedical imaging/diagnostics, and optical communication technology. The high degree of control over light fields, together with the capabilities of modern processing and integration technology, enables new optical measurement systems with enhanced functionality and sensitivity. They are attractive for a range of applications that were previously inaccessible. This Special Issue aims to provide an overview of some of the most advanced application areas in optics and photonics and indicate the broad potential for the future

Rapid Dynamic Power Rail Switching of OFDM Signal Amplifiers

Global resource usage and allocation is becoming an increasingly critical topic. Efficiency is at the heart of a plethora of current research fields from reducing energy consumption in the manufacturing industry, to increasing energy generation from renewable sources, or reusing waste materials for alternative applications. The telecommunications industry is no different, OFDM as a modulation format is ubiquitous and popular due to its spectral efficiency and robustness to interference but its major drawback is its high peak-to-average power ratio (PAPR) meaning that its efficiency is compromised. A review of existing methods for improving OFDM signal amplifier efficiency showed a lack of innovative techniques for power supply control for such amplifiers. This thesis proposes two unique solutions to innovate efficiency for a range of applications. Firstly, a novel power supply control technique to improve the efficiency of OFDM signal amplifiers based on probabilistic analyses. The probability density function of an OFDM signal was analysed and optimum switching thresholds were determined to maximise the efficiency of the power supply. The proposed mechanism considers the theory of Golomb rulers and perfect difference sets, specifically the conversion from linear rulers to modular to achieve a much greater system implementation efficiency. The result is a dynamic fast-switching multi-level power supply which achieves the main benefits of Doherty and Chireix amplifiers but without requiring multiple amplifiers. This class A-G amplifier topology can achieve a 63% efficiency increase compared to amplifiers with single-level voltage supplies. Secondly, a generalised resource management technique known as Total Resource Utilisation Shuffling Technique (TRUST) to tackle the wider issue of resource utilisation and management. The focus for TRUST in this work is on batteries but it could be applied to a wide range of resources, not necessarily in the technology sector. Keywords: Chireix, Class A-G, Doherty, Golomb, OFDM, PAPR, PD

A fast engineering approach to high efficiency power amplifier linearization for avionics applications

This PhD thesis provides a fast engineering approach to the design of digital predistortion (DPD) linearizers from several perspectives: i) enhancing the off-line training performance of open-loop DPD, ii) providing robustness and reducing the computational complexity of the parameters identification subsystem and, iii) importing machine learning techniques to favor the automatic tuning of power amplifiers (PAs) and DPD linearizers with several free-parameters to maximize power efficiency while meeting the linearity specifications. One of the essential parts of unmanned aerial vehicles (UAV) is the avionics, being the radio control one of the earliest avionics present in the UAV. Unlike the control signal, for transferring user data (such as images, video, etc.) real-time from the drone to the ground station, large transmission rates are required. The PA is a key element in the transmitter chain to guarantee the data transmission (video, photo, etc.) over a long range from the ground station. The more linear output power, the better the coverage or alternatively, with the same coverage, better SNR allows the use of high-order modulation schemes and thus higher transmission rates are achieved. In the context of UAV wireless communications, the power consumption, size and weight of the payload is of significant importance. Therefore, the PA design has to take into account the compromise among bandwidth, output power, linearity and power efficiency (very critical in battery-supplied devices). The PA can be designed to maximize its power efficiency or its linearity, but not both. Therefore, a way to deal with this inherent trade-off is to design high efficient amplification topologies and let the PA linearizers take care of the linearity requirements. Among the linearizers, DPD linearization is the preferred solution to both academia and industry, for its high flexibility and linearization performance. In order to save as many computational and power resources as possible, the implementation of an open-loop DPD results a very attractive solution for UAV applications. This thesis contributes to the PA linearization, especially on off-line training for open-loop DPD, by presenting two different methods for reducing the design and operating costs of an open-loop DPD, based on the analysis of the DPD function. The first method focuses on the input domain analysis, proposing mesh-selecting (MeS) methods to accurately select the proper samples for a computationally efficient DPD parameter estimation. Focusing in the MeS method with better performance, the memory I-Q MeS method is combined with feature extraction dimensionality reduction technique to allow a computational complexity reduction in the identification subsystem by a factor of 65, in comparison to using the classical QR-LS solver and consecutive samples selection. In addition, the memory I-Q MeS method has been proved to be of crucial interest when training artificial neural networks (ANN) for DPD purposes, by significantly reducing the ANN training time. The second method involves the use of machine learning techniques in the DPD design procedure to enlarge the capacity of the DPD algorithm when considering a high number of free parameters to tune. On the one hand, the adaLIPO global optimization algorithm is used to find the best parameter configuration of a generalized memory polynomial behavioral model for DPD. On the other hand, a methodology to conduct a global optimization search is proposed to find the optimum values of a set of key circuit and system level parameters, that properly combined with DPD linearization and crest factor reduction techniques, can exploit at best dual-input PAs in terms of maximizing power efficiency along wide bandwidths while being compliant with the linearity specifications. The advantages of these proposed techniques have been validated through experimental tests and the obtained results are analyzed and discussed along this thesis.Aquesta tesi doctoral proporciona unes pautes per al disseny de linealitzadors basats en predistorsió digital (DPD) des de diverses perspectives: i) millorar el rendiment del DPD en llaç obert, ii) proporcionar robustesa i reduir la complexitat computacional del subsistema d'identificació de paràmetres i, iii) incorporació de tècniques d'aprenentatge automàtic per afavorir l'auto-ajustament d'amplificadors de potència (PAs) i linealitzadors DPD amb diversos graus de llibertat per poder maximitzar l’eficiència energètica i al mateix temps acomplir amb les especificacions de linealitat. Una de les parts essencials dels vehicles aeris no tripulats (UAV) _es l’aviònica, sent el radiocontrol un dels primers sistemes presents als UAV. Per transferir dades d'usuari (com ara imatges, vídeo, etc.) en temps real des del dron a l’estació terrestre, es requereixen taxes de transmissió grans. El PA _es un element clau de la cadena del transmissor per poder garantir la transmissió de dades a grans distàncies de l’estació terrestre. A major potència de sortida, més cobertura o, alternativament, amb la mateixa cobertura, millor relació senyal-soroll (SNR) la qual cosa permet l’ús d'esquemes de modulació d'ordres superiors i, per tant, aconseguir velocitats de transmissió més altes. En el context de les comunicacions sense fils en UAVs, el consum de potència, la mida i el pes de la càrrega útil són de vital importància. Per tant, el disseny del PA ha de tenir en compte el compromís entre ample de banda, potència de sortida, linealitat i eficiència energètica (molt crític en dispositius alimentats amb bateries). El PA es pot dissenyar per maximitzar la seva eficiència energètica o la seva linealitat, però no totes dues. Per tant, per afrontar aquest compromís s'utilitzen topologies amplificadores d'alta eficiència i es deixa que el linealitzador s'encarregui de garantir els nivells necessaris de linealitat. Entre els linealitzadors, la linealització DPD és la solució preferida tant per al món acadèmic com per a la indústria, per la seva alta flexibilitat i rendiment. Per tal d'estalviar tant recursos computacionals com consum de potència, la implementació d'un DPD en lla_c obert resulta una solució molt atractiva per a les aplicacions UAV. Aquesta tesi contribueix a la linealització del PA, especialment a l'entrenament fora de línia de linealitzadors DPD en llaç obert, presentant dos mètodes diferents per reduir el cost computacional i augmentar la fiabilitat dels DPDs en llaç obert. El primer mètode se centra en l’anàlisi de l’estadística del senyal d'entrada, proposant mètodes de selecció de malla (MeS) per seleccionar les mostres més significatives per a una estimació computacionalment eficient dels paràmetres del DPD. El mètode proposat IQ MeS amb memòria es pot combinar amb tècniques de reducció del model del DPD i d'aquesta manera poder aconseguir una reducció de la complexitat computacional en el subsistema d’identificació per un factor de 65, en comparació amb l’ús de l'algoritme clàssic QR-LS i selecció de mostres d'entrenament consecutives. El segon mètode consisteix en l’ús de tècniques d'aprenentatge automàtic pel disseny del DPD quan es considera un gran nombre de graus de llibertat (paràmetres) per sintonitzar. D'una banda, l'algorisme d’optimització global adaLIPO s'utilitza per trobar la millor configuració de paràmetres d'un model polinomial amb memòria generalitzat per a DPD. D'altra banda, es proposa una estratègia per l’optimització global d'un conjunt de paràmetres clau per al disseny a nivell de circuit i sistema, que combinats amb linealització DPD i les tècniques de reducció del factor de cresta, poden maximitzar l’eficiència de PAs d'entrada dual de gran ample de banda, alhora que compleixen les especificacions de linealitat. Els avantatges d'aquestes tècniques proposades s'han validat mitjançant proves experimentals i els resultats obtinguts s'analitzen i es discuteixen al llarg d'aquesta tesi

Recent Trends in Communication Networks

In recent years there has been many developments in communication technology. This has greatly enhanced the computing power of small handheld resource-constrained mobile devices. Different generations of communication technology have evolved. This had led to new research for communication of large volumes of data in different transmission media and the design of different communication protocols. Another direction of research concerns the secure and error-free communication between the sender and receiver despite the risk of the presence of an eavesdropper. For the communication requirement of a huge amount of multimedia streaming data, a lot of research has been carried out in the design of proper overlay networks. The book addresses new research techniques that have evolved to handle these challenges

Linear Operation of Switch-Mode Outphasing Power Amplifiers

Radio transceivers are playing an increasingly important role in modern society. The ”connected” lifestyle has been enabled by modern wireless communications. The demand that has been placed on current wireless and cellular infrastructure requires increased spectral efficiency however this has come at the cost of power efficiency. This work investigates methods of improving wireless transceiver efficiency by enabling more efficient power amplifier architectures, specifically examining the role of switch-mode power amplifiers in macro cell scenarios. Our research focuses on the mechanisms within outphasing power amplifiers which prevent linear amplification. From the analysis it was clear that high power non-linear effects are correctable with currently available techniques however non-linear effects around the zero crossing point are not. As a result signal processing techniques for suppressing and avoiding non-linear operation in low power regions are explored. A novel method of digital pre-distortion is presented, and conventional techniques for linearisation are adapted for the particular needs of the outphasing power amplifier. More unconventional signal processing techniques are presented to aid linearisation of the outphasing power amplifier, both zero crossing and bandwidth expansion reduction methods are designed to avoid operation in nonlinear regions of the amplifiers. In combination with digital pre-distortion the techniques will improve linearisation efforts on outphasing systems with dynamic range and bandwidth constraints respectively. Our collaboration with NXP provided access to a digital outphasing power amplifier, enabling empirical analysis of non-linear behaviour and comparative analysis of behavioural modelling and linearisation efforts. The collaboration resulted in a bench mark for linear wideband operation of a digital outphasing power amplifier. The complimentary linearisation techniques, bandwidth expansion reduction and zero crossing reduction have been evaluated in both simulated and practical outphasing test benches. Initial results are promising and indicate that the benefits they provide are not limited to the outphasing amplifier architecture alone. Overall this thesis presents innovative analysis of the distortion mechanisms of the outphasing power amplifier, highlighting the sensitivity of the system to environmental effects. Practical and novel linearisation techniques are presented, with a focus on enabling wide band operation for modern communications standards

Low-Power Slew-Rate Boosting Based 12-Bit Pipeline ADC Utilizing Forecasting Technique in the Sub-ADCS

The dissertation presents architecture and circuit solutions to improve the power efficiency of high-speed 12-bit pipelined ADCs in advanced CMOS technologies. First, the 4.5bit algorithmic pipelined front-end stage is proposed. It is shown that the algorithmic pipelined ADC requires a simpler sub-ADC and shows lower sensitivity to the Multiplying DAC (MDAC) errors and smaller area and power dissipation in comparison to the conventional multi-bit per stage pipelined ADC. Also, it is shown that the algorithmic pipelined architecture is more tolerant to capacitive mismatch for the same input-referred thermal noise than the conventional multi-bit per stage architecture. To take full advantage of these properties, a modified residue curve for the pipelined ADC is proposed. This concept introduces better linearity compared with the conventional residue curve of the pipelined ADC; this approach is particularly attractive for the digitization of signals with large peak to average ratio such as OFDM coded signals. Moreover, the minimum total required transconductance for the different architectures of the 12-bit pipelined ADC are computed. This helps the pipelined ADC designers to find the most power-efficient architecture between different topologies based on the same input-referred thermal noise. By employing this calculation, the most power efficient architecture for realizing the 12-bit pipelined ADC is selected. Then, a technique for slew-rate (SR) boosting in switched-capacitor circuits is proposed in the order to be utilized in the proposed 12-bit pipelined ADC. This technique makes use of a class-B auxiliary amplifier that generates a compensating current only when high slew-rate is demanded by large input signal. The proposed architecture employs simple circuitry to detect the need of injecting current at the output load by implementing a Pre-Amp followed by a class-B amplifier, embedded with a pre-defined hysteresis, in parallel with the main amplifier to boost its slew phase. The proposed solution requires small static power since it does not need high dc-current at the output stage of the main amplifier. The proposed technique is suitable for high-speed low-power multi-bit/stage pipelined ADC applications. Both transistor-level simulations and experimental results in TSMC 40nm technology reduces the slew-time for more than 45% and shorts the 1% settling time by 28% when used in a 4.5bit/stage pipelined ADC; power consumption increases by 20%. In addition, the technique of inactivating and disconnecting of the sub-ADC’s comparators by forecasting the sign of the sampled input voltage is proposed in the order to reduce the dynamic power consumption of the sub-ADCs in the proposed 12-bit pipelined ADC. This technique reduces the total dynamic power consumption more than 46%. The implemented 12-bit pipelined ADC achieves an SNDR/SFDR of 65.9/82.3 dB at low input frequencies and a 64.1/75.5 dB near Nyquist frequency while running at 500 MS/s. The pipelined ADC prototype occupies an active area of 0.9 mm^2 and consumes 18.16 mW from a 1.1 V supply, resulting in a figure of merit (FOM) of 22.4 and a 27.7 fJ/conversion-step at low-frequency and Nyquist frequency, respectively

Low-Power Slew-Rate Boosting Based 12-Bit Pipeline ADC Utilizing Forecasting Technique in the Sub-ADCS

The dissertation presents architecture and circuit solutions to improve the power efficiency of high-speed 12-bit pipelined ADCs in advanced CMOS technologies. First, the 4.5bit algorithmic pipelined front-end stage is proposed. It is shown that the algorithmic pipelined ADC requires a simpler sub-ADC and shows lower sensitivity to the Multiplying DAC (MDAC) errors and smaller area and power dissipation in comparison to the conventional multi-bit per stage pipelined ADC. Also, it is shown that the algorithmic pipelined architecture is more tolerant to capacitive mismatch for the same input-referred thermal noise than the conventional multi-bit per stage architecture. To take full advantage of these properties, a modified residue curve for the pipelined ADC is proposed. This concept introduces better linearity compared with the conventional residue curve of the pipelined ADC; this approach is particularly attractive for the digitization of signals with large peak to average ratio such as OFDM coded signals. Moreover, the minimum total required transconductance for the different architectures of the 12-bit pipelined ADC are computed. This helps the pipelined ADC designers to find the most power-efficient architecture between different topologies based on the same input-referred thermal noise. By employing this calculation, the most power efficient architecture for realizing the 12-bit pipelined ADC is selected. Then, a technique for slew-rate (SR) boosting in switched-capacitor circuits is proposed in the order to be utilized in the proposed 12-bit pipelined ADC. This technique makes use of a class-B auxiliary amplifier that generates a compensating current only when high slew-rate is demanded by large input signal. The proposed architecture employs simple circuitry to detect the need of injecting current at the output load by implementing a Pre-Amp followed by a class-B amplifier, embedded with a pre-defined hysteresis, in parallel with the main amplifier to boost its slew phase. The proposed solution requires small static power since it does not need high dc-current at the output stage of the main amplifier. The proposed technique is suitable for high-speed low-power multi-bit/stage pipelined ADC applications. Both transistor-level simulations and experimental results in TSMC 40nm technology reduces the slew-time for more than 45% and shorts the 1% settling time by 28% when used in a 4.5bit/stage pipelined ADC; power consumption increases by 20%. In addition, the technique of inactivating and disconnecting of the sub-ADC’s comparators by forecasting the sign of the sampled input voltage is proposed in the order to reduce the dynamic power consumption of the sub-ADCs in the proposed 12-bit pipelined ADC. This technique reduces the total dynamic power consumption more than 46%. The implemented 12-bit pipelined ADC achieves an SNDR/SFDR of 65.9/82.3 dB at low input frequencies and a 64.1/75.5 dB near Nyquist frequency while running at 500 MS/s. The pipelined ADC prototype occupies an active area of 0.9 mm^2 and consumes 18.16 mW from a 1.1 V supply, resulting in a figure of merit (FOM) of 22.4 and a 27.7 fJ/conversion-step at low-frequency and Nyquist frequency, respectively