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Due to the growing use of wireless communications systems, the development of analytical tools for studying the performance of such systems has become crucial. The approach used for the performance analysis of wireless networks is based on utilizing fading channel models, i.e. statistical models for the effects of the wireless channel on the transmitted signal power. In the technical literature there exists a wide variety of fading channel models for several cases of wireless communications systems, such as satellite communications or mobile communications systems. Based on these models, the effect of the wireless channel on the transmitted signal can be quantified using performance metrics such as the outage probability, the ergodic capacity and the bit or symbol error probability. All these metrics depend on the channel fading statistics. Therefore, for their calculation the probability density function (PDF) and the cumulative distribution function (CDF) of the fading process are re ...
Due to the growing use of wireless communications systems, the development of analytical tools for studying the performance of such systems has become crucial. The approach used for the performance analysis of wireless networks is based on utilizing fading channel models, i.e. statistical models for the effects of the wireless channel on the transmitted signal power. In the technical literature there exists a wide variety of fading channel models for several cases of wireless communications systems, such as satellite communications or mobile communications systems. Based on these models, the effect of the wireless channel on the transmitted signal can be quantified using performance metrics such as the outage probability, the ergodic capacity and the bit or symbol error probability. All these metrics depend on the channel fading statistics. Therefore, for their calculation the probability density function (PDF) and the cumulative distribution function (CDF) of the fading process are required. With the aid of the aforementioned performance metrics is easy to see that the wireless fading channel severely degrades the performance of wireless communications systems. Therefore, the need for techniques that mitigate the effects of fading is required. Such techniques are known as diversity techniques. The main principle of diversity is the use of more than one channels for the transmission of the same information. The most popular diversity systems are multiple-input multiple-output diversity systems, where the multiple channels used for communication are created by employing more than one antennas at the transmitter and/or the receiver. Perhaps the most favorable MIMO diversity systems are Orthogonal Space Time Block Codes (OSTBC). In addition, diversity receivers and cooperative diversity systems can also be considered as special cases of MIMO diversity systems. In the case of diversity receivers, the multiple channels that are used for the transmission correspond to multiple antennas only at the receiver, while, for cooperative diversity, the multiple channels correspond to users of the wireless network that receive signals and forward them to their final destination. The performance analysis of MIMO diversity systems allows for quantifying the achievable gains of these systems on the performance of wireless networks. Additionally, such an analysis is crucial for the optimal design of practical systems. This thesis studies the performance of MIMO diversity systems in generalized fading channels. First, we examine the performance of OSTBC in Hoyt fading
channels. It is proven that, for this fading model, and when an OSTBC is employed, the signal-to-noise ratio (SNR) of the OSTBC can be expressed as a quadratic form in normal random variables. Therefore, the performance analysis for OSTBC over Hoyt fading channels is performed using the PDF and the CDF of such quadratic forms. In the statistical literature, these functions are expressed in terms of infinite series. The convergence of the series is thoroughly studied and new expressions for the truncation error bound of these series are proposed. The proposed bounds are much tighter than the bounds that can be found in the literature. The expressions for the PDF and the CDF are then used for the performance analysis of OSTBC over Hoyt fading and several performance metrics are calculated. Then, a generalized fading model for the performance analysis of OSTBC and MRC is proposed and the theoretical performance analysis of both MRC and OSTBC is carried out. The main advantage of this model is the fact that it includes as special cases most of the widely used fading models. Furthermore, the performance of cooperative diversity systems employing Detect and Forward (DaF) relays is studied for Rayleigh fading channels. More specifically, three low complexity detection algorithms for these channels are examined and closed-form expressions of the bit error probability (BEP) for these receivers are derived. Finally, a new low complexity receiver for cooperative systems with DaF relays is proposed. Using Monte Carlo Simulations it is shown that this receiver outperforms the three receivers that have been studied.
For the systems studied in the thesis, the performance analysis results that have been derived theoretically are compared with Monte Carlo simulations that prove the validity of the analysis.
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