Thesis (M.S.) -- Worcester Polytechnic Institute. / Keywords: distributed beamforming; carrier synchronization. Includes bibliographical references (p.105-106).

"This thesis develops a system for synchronizing two wireless transmitters so that they are able to implement a distributed beamformer in several different channel models. This thesis considers a specific implementation of the system and proposes a metric to quantify its performance. The system's performance is investigated in single-path and multi-path time-invariant channel scenarios, as well as in single-path time-varying channel scenarios. Where prior systems have difficulty in implementing a distributed beamformer in multi-path channels and/or mobile scenarios, the results of this thesis show that the Round-Trip Time-Division distributed beamforming system is able to perform as a beamformer in all three of the channel models considered. "

Thesis (Ph.D.)--Montana State University--Bozeman, 2007. / Typescript. Chairperson, Graduate Committee: Richard Wolff. Includes bibliographical references.

Thesis (M.S.) -- Worcester Polytechnic Institute. / Keywords: CMOS; Low noise amplifier; Multistandard RF transceivers. Includes bibliographical references (leaves 147-156).

Thesis (MSc)--Stellenbosch University, 2012. / ENGLISH ABSTRACT: This thesis explores two key aspects of wireless ad hoc networks. The first aspect concerns the topic of stimulating cooperation between nodes in a wireless ad hoc network. The functionality of a wireless ad hoc network depends entirely on the willingness of nodes to relay messages on behalf of other nodes. Network functionality depends on ensuring cooperation between nodes, so that each node benefits from continued participation in the network. This suggests an important question: how can cooperation among individual nodes be managed to improve overall wireless ad hoc network performance? The second aspect explored in this thesis concerns the concept of optimal resource utilisation. Wireless ad hoc networks are characterised by limited bandwidth and energy resources, which facilitates deployment in situations in which traditional infrastructure based networks are not practical. This suggests another important question: how can the use of the limited energy and bandwidth resources of wireless ad hoc networks be optimised? This research relies on the concept of a credit-based market economy. Nodes in simulated ad hoc networks use credits to pay for the cost of sending their own traffic and earn credits by forwarding traffic on behalf of other nodes. We show that a credit-based market economy approach can be employed to stimulate and regulate cooperation between nodes in a wireless ad hoc network. We show that this approach can be implemented in a simple decentralised manner and that it has several variants depending on which node is considered to be paying for the service, what the price of each service should be and how we route packets around the network using information derived from the credit-based economy. This thesis demonstrates that several variants of a credit-based scheme can be implemented in a packet based simulator and that these variants result in the stable operation of the network and improve the overall performance. The credit-based mechanisms also show significant improvement to network performance in resource constrained conditions and represent an effective means for optimising limited energy and bandwidth resource. The effectiveness of the credit-based mechanisms increases as the load on the networks increases. / AFRIKAANSE OPSOMMING: Hierdie tesis ondersoek twee belangrike aspekte van draadlose ad hoc-netwerke. Die eerste aspek het betrekking op die onderwerp van 'n stimulerende samewerking tussen die nodusse in 'n draadlose ad hoc-netwerk. Dat die network funksioneer hang daarvan af om samewerking tussen die nodusse te verseker sodat elke nodus voordeel put uit voortgesette deelname in die netwerk. Dit dui op 'n belangrike vraag: Hoe kan die samewerking tussen die individuele nodusse bestuur word om die prestasie van 'n draadlose ad hoc-netwerk te verbeter? Die tweede aspek wat in hierdie tesis ondersoek word, behels die konsep van optimale hulpbronbenutting. Draadlose ad hoc-netwerke word gekenmerk deur beperkte bandwydte- en energie-hulpbronne, wat ontplooiing bewerkstellig in situasies waar tradisionele infrastruktuur-gebaseerde netwerke nie practise moontlik is nie. Dit dui op 'n ander belangrike vraag: Hoe kan die gebruik van die beperkte energie- en bandwydte-hulpbronne van draadlose ad hoc-netwerke optimaal bestuur word? Hierdie navorsing berus op die konsep van 'n krediet-gebaseerde markekonomie. Nodusse in gesimuleerde ad hoc-netwerke gebruik krediete om te betaal vir die versending van hul eie verkeer en nodusse verdien krediete deur die verkeer van ander nodusse aan te stuur. Ons wys dat die benadering van 'n krediet-gebaseerde markekonomie gebruik kan word om die samewerking tussen die nodusse in 'n draadlose ad hoc-netwerk te stimuleer en te reguleer. Ons wys dat hierdie benadering geïmplementeer kan word op 'n eenvoudige gedesentraliseerde wyse. Ons ondersoek verskeie variasies van die benadering, na gelang van watter nodus oorweeg word om vir die diens te betaal, wat die prys van elke diens moet wees en hoe inligting afgelei van die krediet-gebaseerde ekonomie gebruik kan word om pakkies in die netwerk te roeteer. Hierdie tesis toon dat verskeie variante van 'n krediet-gebaseerde skema geïmplementeer kan word in 'n netwerksimulator en dat hierdie variante die stabiele bedryf van en algehele verbetering in die prestasie van die network tot gevolg het. Die krediet-gebaseerde meganismes toon 'n beduidende verbetering in hulpbronbenutting en netwerkprestasie in omgewings met beperkte hulpbronne en verteenwoordig 'n doeltreffende manier om die beperkte energie- en bandwydte-hulpbronne optimaal te benut. Laastens, die doeltreffendheid van die krediet-gebaseerde meganismes word verhoog as die las op die netwerke word verhoog.

In wireless communications systems, it is well known that the instantaneous received signal is a random variable that follows a given distribution. The randomness mainly stems from e ects such as multipath fading, shadowing, and interference. The received signal is a relevant metric, such that several distributions have been used in the literature to characterize it. However, as new radio technologies emerge, the known distributions are deemed insu cient to t simulated and measure data. Subsequently, as the wireless industry moves onto the fth generation (5G), newer distributions are proposed to well represent the received signal for new wireless technologies, including those operating in the millimeter-wave (mmWave) band. These are mainly application speci c and may not be adequate to model complex 5G devices performance. Therefore, there is a need to unify and generalize the received signal distributions used for performance analysis of wireless systems. Secondly, an explosion of new radio technologies and devices operating in the same limited radio spectrum to collect and share data at alarming rates is expected. Such an explosion coupled with the 5G promise of ubiquitous connectivity and network densi cation, will thrust interference modeling in dense networks to the fore-front. Thus, interference characterization is essential when analyzing such wireless networks. Thirdly, the classical distributions used to model the received signal do not account for the inherent mobility feature for emerging radio technologies, such as avionics systems (e.g. drones), which may make the distributions inadequate as mobility e ects can no longer be ignored. Consequently, in this dissertation, we propose the use of a unifying distribution, the Fox's H-function distribution, with subsume ability to represent several traditional and future distributions, as a statistical tool to evaluate the performance of wireless communications systems. Additionally, two interference models, one with a xed number and the other with a random number of interferers, are considered to derive interference statistics, and further utilize the results to analyze system performance under the e ect of interference. Finally, we extend the classical distributions to include the mobility regime for several wireless network topologies, and perform network analysis. The analytical results are validated using computer Monte Carlo simulations. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2017. / FAU Electronic Theses and Dissertations Collection

Graduation date: 1999

Orientadores: Jose Marcos Travassos Romano, Cristiano Magalhães Panazio / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-09T08:52:54Z (GMT). No. of bitstreams: 1 Menezes_AlamSilva_M.pdf: 3586178 bytes, checksum: 0b475a352c1a0c8fc6c72a6a3c846f45 (MD5) Previous issue date: 2007 / Resumo: A presente dissertação apresenta um estudo da tecnologia dos rádios cognitivos bem como uma avaliação dos possíveis ganhos desta promissora técnica em relação aos atuais meios de acesso ao espectro eletromagnético. Numa segunda frente de trabalho, tratamos do problema de equalização cega no contexto de canais SIMO, com uma única entrada e múltiplas saídas. Propomos a predição linear multicanal como estrutura de equalização em sistemas OFDM e avaliamos por meio de simulações a viabilidade da técnica proposta / Abstract: In this work, we provide a study of the cognitive radio technology and the potential gains that this technique may provide with regard to current electromagnetic spectrum access techniques. In a second workphase, we deal with the problem of blind equalization in the context of single input multiple output channels (SIMO). We propose the use of a multichannel linear prediction structure to equalize OFDM systems and we assess its performance through numerical simulations / Mestrado / Telecomunicações e Telemática / Mestre em Engenharia Elétrica

A melhora na eficiência do uso do espectro de radiofrequência é fundamental para permitir um desempenho adequado dos diversos sistemas sem fio cuja complexidade e requerimentos aumentam a cada dia. O panorama atual de atribuição de canais é estático, tolerando assim, que o espectro de radiofrequência seja usado de forma desequilibrada, gerando com isso, problemas de coexistência em algumas faixas e subutilização de recursos em outras. Para contornar esse problema, tem sido proposta a ideia de introduzir algoritmos de cognição nos dispositivos sem fio, a fim de permitir um modelo de alocação dinâmico adicional. Neste, os usuários secundários equipados com rádios cognitivos podem utilizar de forma dinâmica os canais subutilizados de usuários primários. Um usuário primário tem prioridade de uso do canal como consequência da atribuição estática, porém, o uso do canal por um usuário secundário qualquer é oportunista e limitando ao tempo de inatividade do usuário primário em um determinado local. As redes de sensores sem fio trabalham em uma banda concorrida e são sistemas que podem melhorar seu desempenho utilizando um mecanismo de acesso dinâmico aos canais, possibilitando o aproveitamento dos períodos de inatividade de usuários primários ou aumentando sua capacidade de coexistência na banda de operação atual. Segundo a literatura pesquisada são vários os desafios existentes para conseguir um método distribuído de acesso dinâmico aos canais que considere as restrições de trocas de sinalizações, consumo de energia e complexidade dos dispositivos de uma rede de sensores sem fio. Neste contexto, propõe-se uma metodologia de sensoriamento e acesso dinâmico aos canais para uma rede de sensores sem fio considerando a simplicidade dos dispositivos. Como fatores de inovação, optou-se pela definição de uma política de sensoriamento por clusters que permite realizar uma aprendizagem cooperativa por reforço da situação dos canais de operação. Além disso, a definição de um mecanismo de acesso dinâmico aos canais fundamentado no padrão IEEE 802.15.4 permite comunicação e coordenação distribuída de forma assíncrona. O funcionamento da metodologia proposta é avaliado e comparado usando simulações e experimentos mediante um estudo de caso específico. As comparações são realizadas com métodos de seleção de canal: fixa, cega ou baseada em recompensas por acesso. Os resultados mostram a eficiência no acesso dinâmico aos canais com aumentos na taxa de entrega de mensagens e na capacidade de coexistir com as redes primárias. / The efficiency improvement of the use of radiofrequency spectrum is fundamental to allow more complex and more optimal wireless systems. The current channel allocation is static. It tolerates unbalanced use of the radiofrequency spectrum generating coexistence problems in some bands and underutilization of resources in other bands. The introduction of cognitive algorithms into wireless devices has been proposed to overcome that problem, in order to allow an additional dynamic allocation model. In this, the secondary users equipped with cognitive radios will be able to use dynamically the underutilized channels of primary users. A primary user has channel usage priority related to the static allocation, on the other hand, the use of the channel by any secondary user is opportunistic and limited to the inactivity time of the primary user in a specific place. Wireless sensor networks work in a competitive band. These systems can improve their performance using a dynamic access to the channels and consequently to enable the utilization of inactivity periods of primary users or to increase the coexistence capability at their current operation band. According to the researched literature, several challenges exist to find a distributed method for dynamic access to the channels considering the restrictions on control signaling, energy consumption and computational complexity of wireless sensor network devices. In this context, a methodology of sensing and dynamic access to the channels in a wireless sensor network considering the restrictions of the devices is proposed. As innovation, we opted for the definition of a sensing policy by clusters that allows the cooperative reinforcement learning of the situation of channels. In addition, a mechanism for dynamic access to the channels based on the IEEE 802.15.4 standard is defined to allow asynchronous and distributed coordination. The behavior of the proposed methodology is evaluated and compared using simulations and experiments through a specific case study. The comparisons are performed with channel selection methods: fixed, blind and access based. The results show good efficiency in the dynamic allocation of the channels, increasing the message delivery rate and the coexistence capability.

The world of information technology and communications is in a stage of continuous improvement. These new developments are accompanied by a very rapid data traffic growth, particularly for mobile wireless networks. An important effect is the increase of the consumed energy by the network, particularly the radio access section, i.e. the base station systems. This latter issue causes that operational costs associated to energy consumption become more significant for telecommunication operators. In addition to the question of the availability of energy, this problem has an ecological aspect, due to the CO2 emissions associated with the operation of the network but also an issue related to public health given the effects of electromagnetic radiation from wireless transmission. For these reasons, great research efforts in the so-called field of Green Radio are being done in the recent years. The aim of this thesis consisted of finding ways to reduce the energy consumption in wireless and mobile networks respecting the QoS levels assigned to users. After a study of the state of the art analysing the possible approaches, we proposed a set of energy efficient techniques supported on the cell breathing and hybrid cellular networks (macro/femtocells). Our proposed decision making mechanisms include distributed strategies and other features such as the use of a novel multimetric approach. In our work, we also take into account the energy consumption of mobile devices, an issue that to the best of our knowledge was not quite analysed so far. The use of renewable energy sources is also considered into our proposals. Our thesis work includes the study of the consequences of our radio resource management algorithms on the electromagnetic radiation taking into account the acceptable EM exposure thresholds. In the perspectives of future work, we can mention the improvement of our techniques with learning mechanisms and cognitive radio.