56 research outputs found

    High Data-Rate Video Broadcasting Over 3G Wireless Systems

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    Técnicas de cooperação entre estações base para sistemas celulares

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    Mestrado em Engenharia Electrónica e TelecomunicaçõesA cooperação entre células é uma das áreas de pesquisa em maior crescimento, sendo uma solução promissora para sistemas celulares sem fio, por forma a amenizar a interferência entre as células, melhorar a equidade do sistema e aumentar a capacidade nos anos vindouros. Esta tecnologia já está em estudo no LTE-Advanced sob o conceito de coordenação multiponto (CoOMP). Esta dissertação insere-se na área de comunicações sem fios e tem como principal objectivo, estudar, implementar e avaliar o desempenho de esquemas de cooperação entre estações base, projectados para os futuros sistemas de comunicações móveis de portadora múltipla (OFDM/A). Especificamente, o sistema cooperativo estudado é constituído por duas estações base equipadas com um agregado de antenas, ligadas a uma unidade de processamento central, e dois terminais móveis equipados cada um com apenas uma antena. O sistema referido foi implementado de acordo com as especificações do LTE e avaliado em diversos cenários de propagação. As técnicas desenvolvidas permitem contornar os problemas relacionados com a má qualidade de canal entre emissor e receptor, melhorando o seu desempenho, especificamente ao nível da taxa de erros de transmissão.Multicell cooperation is one of the fastest growing areas of research, and it is a promising solution for cellular wireless systems to mitigate intercell interference, improve system fairness and increase capacity in the years to come. This technology is already under study in LTE-Advanced under the coordinated multipoint (CoOMP) concept. This dissertation is inserted in the wireless communications area, with its main objective being the study, implementation and evaluation of the performance of cooperative schemes between base stations designed for the future mobile communication multiple carrier systems (OFDM/A). Specifically, the cooperative system studied consists of two base stations, each with multiple antenna, connected to a central processing unit, and two mobile terminals, each equipped with only one antenna. The system referred to was implemented in accordance with the specifications of LTE and was tested in various different propagation situations. The developed techniques ensure the mitigation of problems related to interference between the portable terminals namely at the cell edges, improving specifically the bit error rate performance

    Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems: A Survey

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    Multicasting is emerging as an enabling technology for multimedia transmissions over wireless networks to support several groups of users with flexible quality of service (QoS)requirements. Although multicast has huge potential to push the limits of next generation communication systems; it is however one of the most challenging issues currently being addressed. In this survey, we explain multicast group formation and various forms of group rate determination approaches. We also provide a systematic review of recent channel-aware multicast scheduling and resource allocation (MSRA) techniques proposed for downlink multicast services in OFDMA based systems. We study these enabling algorithms, evaluate their core characteristics, limitations and classify them using multidimensional matrix. We cohesively review the algorithms in terms of their throughput maximization, fairness considerations, performance complexities, multi-antenna support, optimality and simplifying assumptions. We discuss existing standards employing multicasting and further highlight some potential research opportunities in multicast systems

    A Review of Cellular Networks: Applications, Benefits and Limitations

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    Over decades the world has witnessed stepwise evolution in Cellular networks technology and mobile network industry which have transformed nation’s economy and created job opportunities since 1970. The stepwise evolution of the cellular networks from first generation (1G) to fifth generation (5G) have shown tremendous increase in technology, benefits, user demand and applications.  As new generation of cellular network unfold, the challenges and limitations of preceded generations are being tackled as always depicted in the design architecture of each new generation. The first generation (1G) cellular network was based on analogue and was able to cater for mobile voice transmission but posed some challenges in terms of quality of service and security of network. Second generation (2G) came with the introduction of digitally encrypted technology and greater security for sender and receiver with services such as text messages and MMS. Third generation (3G) was developed to offer high speed data and multimedia connections to subscribers.  Fourth generation evolves from 3G with higher data rate, lower latency, greater spectral efficiency and simple protocol architecture with efficient multicast than its predecessors.  Fifth-generation (5G) networks  is being deployed to meet growing demands for data from consumer and industrial users  and  to enable the use of advanced technologies  such as smart city applications, autonomous vehicles and navigation. The envisioned sixth generation (6G) of cellular network is expected to witness an unparalleled revolution that would significantly distinguish it from the existing generations and will drastically re-shape the wireless evolution from "connected thing to connected intelligence. This paper provides a comprehensive review of cellular networks applications and challenges from 1G to 6G. Keywords: 1G, 2G, 3G, 4G, 5G, 6G, Applications  Benefits, and Limitations DOI: 10.7176/NCS/11-04 Publication date: December 31st 202

    Performance analysis of 4G wireless networks using system level simulator

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    Doutoramento em Engenharia ElectrotécnicaIn the last decade, mobile wireless communications have witnessed an explosive growth in the user’s penetration rate and their widespread deployment around the globe. In particular, a research topic of particular relevance in telecommunications nowadays is related to the design and implementation of mobile communication systems of 4th generation (4G). 4G networks will be characterized by the support of multiple radio access technologies in a core network fully compliant with the Internet Protocol (all IP paradigms). Such networks will sustain the stringent quality of service (QoS) requirements and the expected high data rates from the type of multimedia applications (i.e. YouTube and Skype) to be available in the near future. Therefore, 4G wireless communications system will be of paramount importance on the development of the information society in the near future. As 4G wireless services will continue to increase, this will put more and more pressure on the spectrum availability. There is a worldwide recognition that methods of spectrum managements have reached their limit and are no longer optimal, therefore new paradigms must be sought. Studies show that most of the assigned spectrum is under-utilized, thus the problem in most cases is inefficient spectrum management rather spectrum shortage. There are currently trends towards a more liberalized approach of spectrum management, which are tightly linked to what is commonly termed as Cognitive Radio (CR). Furthermore, conventional deployment of 4G wireless systems (one BS in cell and mobile deploy around it) are known to have problems in providing fairness (users closer to the BS are more benefited relatively to the cell edge users) and in covering some zones affected by shadowing, therefore the use of relays has been proposed as a solution. To evaluate and analyse the performances of 4G wireless systems software tools are normally used. Software tools have become more and more mature in recent years and their need to provide a high level evaluation of proposed algorithms and protocols is now more important. The system level simulation (SLS) tools provide a fundamental and flexible way to test all the envisioned algorithms and protocols under realistic conditions, without the need to deal with the problems of live networks or reduced scope prototypes. Furthermore, the tools allow network designers a rapid collection of a wide range of performance metrics that are useful for the analysis and optimization of different algorithms. This dissertation proposes the design and implementation of conventional system level simulator (SLS), which afterwards enhances for the 4G wireless technologies namely cognitive Radios (IEEE802.22) and Relays (IEEE802.16j). SLS is then used for the analysis of proposed algorithms and protocols.FC

    A General Framework for Analyzing, Characterizing, and Implementing Spectrally Modulated, Spectrally Encoded Signals

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    Fourth generation (4G) communications will support many capabilities while providing universal, high speed access. One potential enabler for these capabilities is software defined radio (SDR). When controlled by cognitive radio (CR) principles, the required waveform diversity is achieved via a synergistic union called CR-based SDR. Research is rapidly progressing in SDR hardware and software venues, but current CR-based SDR research lacks the theoretical foundation and analytic framework to permit efficient implementation. This limitation is addressed here by introducing a general framework for analyzing, characterizing, and implementing spectrally modulated, spectrally encoded (SMSE) signals within CR-based SDR architectures. Given orthogonal frequency division multiplexing (OFDM) is a 4G candidate signal, OFDM-based signals are collectively classified as SMSE since modulation and encoding are spectrally applied. The proposed framework provides analytic commonality and unification of SMSE signals. Applicability is first shown for candidate 4G signals, and resultant analytic expressions agree with published results. Implementability is then demonstrated in multiple coexistence scenarios via modeling and simulation to reinforce practical utility

    Técnicas de equalização iterativas no espaço-frequência para o LTE

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    Mestrado em Engenharia Electrónica e TelecomunicaçõesMobile communications had a huge leap on its evolution in the last decade due to the constant increase of the user requirements. The Long Term Evolution is the new technology developed to give proper answer to the needs of a growing mobile communications community, offering much higher data rates, better spectral efficiency and lower latency when compared to previous technologies, along with scalable bandwidth, interoperability and easy roaming. All these advantages are possible due to the implementation of new network architectures like the E-UTRAN access network and the EPC core network, the use of MIMO systems, and new multiple access schemes: OFDMA for downlink and SC-FDMA for uplink. This thesis focuses on the uplink communication of this technology with SC-FDMA, specifically on the use of Iterative Block Decision Feedback Equalizers (IB-DFE) where both the feedback and the feedforward equalizer matrices are applied on the frequency domain. Two IB-DFE schemes were implemented using both Parallel Interference Cancellation (PIC) and Serial Interference Cancellation (SIC) based processing. We considered the uplink scenario where some users share the same physical channel to transmit its own information to the Base Station (BS). Also, we consider that the BS is equipped with multiple antennas and the user terminals (UT) with a single antenna. The aim of the studied iterative schemes is to efficiently remove both the multi-user and inter-carrier interferences, while allowing a close-to-optimum space-diversity gain. The results obtained showed that both PIC and SIC implementations presented better performance than the conventional used linear multi-user sub optimal equalizers ZF and MMSE. Both solutions efficiently eliminate the multi-user interference, although the SIC based scheme slightly outperforms the PIC approach, with a performance close to the one achieved by the Matched Filter Bound (MFB).As comunicações móveis tiveram um grande avanço na sua evolução na última década devido ao constante aumento dos requisitos dos utilizadores. O Long Term Evolution é a nova tecnologia desenvolvida para dar resposta às necessidades de uma crescente comunidade de comunicações móveis, oferecendo taxas de transmissão de dados muito mais elevadas, melhor eficiência espectral e menor latência quando comparado a tecnologias anteriores, incluindo também largura de banda escalável, interoperabilidade e roaming simples. Todas estas vantagens são possíveis devido à implementação de novas arquiteturas de rede, como a rede de acesso E-UTRAN e a rede core EPC, o uso de sistemas MIMO, e novos esquemas de múltiplo acesso: OFDMA para o downlink e SC-FDMA para o uplink. Esta tese centra-se na comunicação no sentido ascendente desta tecnologia onde o esquema utilizado é o SC-FDMA, mais especificamente na aplicação de Iterative Block Decision Feedback Equalizers (IB-DFE) onde tanto a matriz de feedback como a de feedfoward do equalizador são aplicadas no domínio da frequência. Dois esquemas IB-DFE foram implementados utilizando processamento baseado em cancelamento de interferência em paralelo (PIC) e em serie (SIC). Foi considerado um cenário ascendente onde alguns utilizadores (UEs) partilham o mesmo canal físico para transmitir a sua informação para a Estação Base (BS). È também assumido que a BS está equipada com múltiplas antenas, e os terminais dos utilizadores com uma antena apenas. O objetivo dos esquemas iterativos estudados é remover eficientemente a interferência entre utilizadores e entre portadoras, permitindo entretanto um ganho de diversidade no espaço quase ótimo. Os resultados obtidos mostraram que tanto a implementação PIC como a SIC apresentam melhor eficiência do que os habituais equalizadores lineares sub ótimos ZF e MMSE. Ambas as soluções eliminam a interferência entre utilizadores, embora o esquema SIC apresente um melhor desempenho que o PIC, aproximando- se do atingido com o Matched Filter Bound (MFB)
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