361 research outputs found

    Mobile Speed Classification for Cellular Systems Over Frequency Selective Rician Fading Channels

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    In this paper, a new algorithm is proposed for estimating mobile speed of cellular systems over frequency selective Rician fading channels. Theoretical analysis is first derived and practical algorithm is proposed based on the analytical results. The algorithm employs a modified auto-covariance of received signal power to estimate the speed of mobiles. The algorithm is based on the received signals which contain unknown transmitted data, unknown frequency selective multipaths including line-of-sight(LOS) component, and random receiver noise. The algorithm works very well for frequency selective Rician fading channels with large ranges of Rice factor and angle of arrival of the LOS component. Simulation results indicate that the new algorithm is very reliable and effective to distinguish slow speed and fast speed mobiles. The algorithm is computationally efficient. It only requires simple arithmetic operations such as multiplications, additions and subtractions

    Equalizador híbrido na banda das ondas milimétricas para sistemas GFDM

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    Wireless communication using very-large multiple-input multiple-output (MIMO) antennas has been regarded as one of the enabling technologies for the future mobile communication. It refers to the idea of equipping cellular base stations (BSs) with a very large number of antennas giving the possibility to focusing the transmitted signal energy into very short-range areas, which will provide huge improvements in the capacity, in addition to the spectral and energy efficiency. Concurrently, this demand for high data rates and capacity led to the necessity of exploiting the enormous amount of spectrum in the millimeter wave (mmWave) bands. However, the combination of millimeter-wave communications arrays with a massive number of antennas has the potential to dramatically enhance the features of wireless communication. This combination implies high cost and power consumption in the conventional full digital architecture, where each RF chain is dedicated to one antenna. The solution is the use of a hybrid architecture, where a small number of RF chains are connected to a large number of antennas through a network of phase shifters. On the other hand, another important factor that affect the transmission quality is the modulation technique, which plays an important role in the performance of the transmission process, for instance, GFDM is a flexible non-orthogonal multicarrier modulation concept, that introduces additional degrees of freedom when compared to other multicarrier techniques. This flexibility makes GFDM a promising solution for the future cellular generations, because it can achieve different requirements, such as higher spectrum efficiency, better control of out-of-band (OOB) emissions, as well as achieving low peak to average power ratio (PAPR). In this work, we present an analog-digital transmitter and receiver structures. Considering a GFDM modulation technique to be implemented in the digital part, while in the analog part, we propose a full connected hybrid multiuser linear equalizer, combined with low complexity hybrid precoder for wideband millimeter-wave massive MIMO systems. The hybrid equalizer is optimized by minimizing the mean square error between the hybrid approach and the full digital counterpart. The results show that the performance of the proposed hybrid scheme is very close to the full digital counterpart and the gap reduces as the number of RF chains increases.O uso de um nĂșmero elevado de antenas, tambĂ©m designado por MIMO massivo, tem sido considerada uma das tecnologias mais promissoras para os futuros sistemas de comunicação sem fios. Esta tecnologia, refere-se Ă  ideia de equipar as estaçÔes base (BSs) com um nĂșmero muito grande de antenas, dando a possibilidade de focar a energia do sinal transmitido em ĂĄreas de alcance muito restritas, o que proporcionarĂĄ grandes melhorias na capacidade, alĂ©m das espectrais e eficiĂȘncia energĂ©tica. Simultaneamente, a exigĂȘncia por taxas de dados elevadas e capacidade levou Ă  necessidade de explorar uma enorme quantidade de espectro nas bandas de ondas milimĂ©tricas (mmWave). A combinação de comunicação na banda das ondas milimĂ©tricas com terminais equipados com um grande nĂșmero de antenas tem o potencial de melhorar drasticamente os recursos da comunicação sem fios. Considerando no entanto uma arquitetura digital, usada em sistemas MIMO convencionais, em que cada cadeia de RF Ă© dedicada a uma antena, implica um custo e um consumo de energia elevados. A solução Ă© o uso de uma arquitetura hĂ­brida, na qual um pequeno nĂșmero de cadeias de RF Ă© conectado a um grande nĂșmero de antenas atravĂ©s de um conjunto de deslocadores de fase. Outro fator importante que afeta a qualidade da transmissĂŁo Ă© a tĂ©cnica de modulação usada, que desempenha um papel importante no desempenho do processo de transmissĂŁo. O GFDM Ă© um conceito de modulação de portadora mĂșltipla, nĂŁo ortogonal e flexĂ­vel, que introduz graus de liberdade adicionais, quando comparado a outras tĂ©cnicas de portadora mĂșltipla, como o OFDM. Essa flexibilidade faz do GFDM uma solução promissora para as futuras geraçÔes celulares, pois pode atender a diferentes requisitos, como maior eficiĂȘncia de espectro, melhor controle das emissĂ”es fora de banda (OOB), alĂ©m de atingir baixo rĂĄcio de potĂȘncia mĂ©dia / pico ( PAPR). Neste trabalho, Ă© assumido uma arquitetura hibrida no transmissor e recetor. Considera-se uma tĂ©cnica de modulação GFDM a ser implementada na parte digital, enquanto na parte analĂłgica, Ă© proposto um equalizador linear hĂ­brido multiutilizador totalmente conectado, i.e., cada cadeia RF estĂĄ ligada a todas as antenas, combinado com um prĂ©-codificador hĂ­brido, de baixa complexidade para sistemas MIMO massivo de banda larga. O equalizador hĂ­brido Ă© otimizado, minimizando o erro quadrĂĄtico mĂ©dio entre a abordagem hĂ­brida e a contraparte totalmente digital. Os resultados mostram que o desempenho do esquema hĂ­brido proposto estĂĄ muito prĂłximo do equivalente digital, Ă  medida que o nĂșmero de cadeias de RF aumenta.Mestrado em Engenharia EletrĂłnica e TelecomunicaçÔe

    Bit error rate estimation in WiMAX communications at vehicular speeds using Nakagami-m fading model

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    The wireless communication industry has experienced a rapid technological evolution from its basic first generation (1G) wireless systems to the latest fourth generation (4G) wireless broadband systems. Wireless broadband systems are becoming increasingly popular with consumers and the technological strength of 4G has played a major role behind the success of wireless broadband systems. The IEEE 802.16m standard of the Worldwide Interoperability for Microwave Access (WiMAX) has been accepted as a 4G standard by the Institute of Electrical and Electronics Engineers in 2011. The IEEE 802.16m is fully optimised for wireless communications in fixed environments and can deliver very high throughput and excellent quality of service. In mobile communication environments however, WiMAX consumers experience a graceful degradation of service as a direct function of vehicular speeds. At high vehicular speeds, the throughput drops in WiMAX systems and unless proactive measures such as forward error control and packet size optimisation are adopted and properly adjusted, many applications cannot be facilitated at high vehicular speeds in WiMAX communications. For any proactive measure, bit error rate estimation as a function of vehicular speed, serves as a useful tool. In this thesis, we present an analytical model for bit error rate estimation in WiMAX communications using the Nakagami-m fading model. We also show, through an analysis of the data collected from a practical WiMAX system, that the Nakagami-m model can be made adaptive as a function of speed, to represent fading in fixed environments as well as mobile environments

    Design and development of mobile channel simulators using digital signal processing techniques

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    A mobile channel simulator can be constructed either in the time domain using a tapped delay line filter or in the frequency domain using the time variant transfer function of the channel. Transfer function modelling has many advantages over impulse response modelling. Although the transfer function channel model has been envisaged by several researchers as an alternative to the commonly employed tapped delay line model, so far it has not been implemented. In this work, channel simulators for single carrier and multicarrier OFDM system based on time variant transfer function of the channel have been designed and implemented using DSP techniques in SIMULINK. For a single carrier system, the simulator was based on Bello's transfer function channel model. Bello speculated that about 10Βτ(_MAX) frequency domain branches might result in a very good approximation of the channel (where ĐČ is the signal bandwidth and τ(_MAX) is the maximum excess delay of the multi-path channel). The simulation results showed that 10Bτ(_MAX) branches gave close agreement with the tapped delay line model(where Be is the coherence bandwidth). This number is π times higher than the previously speculated 10Bτ(_MAX).For multicarrier OFDM system, the simulator was based on the physical (PHY) layer standard for IEEE 802.16-2004 Wireless Metropolitan Area Network (WirelessMAN) and employed measured channel transfer functions at the 2.5 GHz and 3.5 GHz bands in the simulations. The channel was implemented in the frequency domain by carrying out point wise multiplication of the spectrum of OFDM time The simulator was employed to study BER performance of rate 1/2 and rate 3/4 coded systems with QPSK and 16-QAM constellations under a variety of measured channel transfer functions. The performance over the frequency selective channel mainly depended upon the frequency domain fading and the channel coding rate

    The Multi-Input Multi-Output (MIMO) Channel Modeling, Simulation and Applications

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    This thesis mainly focus on the Multi-Input Multi-Output (MIMO) channel modeling, simulation and applications. There are several ways to design a MIMO channel. Most of the examples are given in Chapter 2, where we can design channels based on the environments and also based on other conditions. One of the new MIMO channel designs based on physical and virtual channel design is discussed in Unitary-Independent- Unitary (UIU) channel modeling. For completeness, the different types of capacity are discussed in details. The capacity is very important in wireless communication. By understanding the details behind different capacity, we can improve our transmission efficiently and effectively. The level crossing rate and average duration are discussed.One of the most important topics in MIMO wireless communication is estimation. Without having the right estimation in channel prediction, the performance will not be correct. The channel estimation error on the performance of the Alamouti code was discussed. The design of the transmitter, the channel and the receiver for this system model is shown. The two different types of decoding scheme were shown - the linear combining scheme and the Maximum likelihood (ML) decoder. Once the reader understands the estimation of the MIMO channel, the estimation based on different antenna correlation is discussed. Next, the model for Mobile-to-Mobile (M2M) MIMO communication link is proposed. The old M2M Sum-of-Sinusoids simulation model and the new two ring models are discussed. As the last step, the fading channel modeling using AR model is derived and the effect of ill-conditioning of the Yule-Walker equation is also shown. A number of applications is presented to show how the performance can be evaluated using the proposed model and techniques

    Capacity and coverage enhancements of MIMO WLANs in realistic environments

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