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Probability of Error for Diversity Combining in DS CDMA Systems with Synchronization Errors

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Abstract

An efficient series that is used to calculate the probability of error for a BPSK modulated DS CDMA system with chip timing and carrier phase errors in a slowly fading, multipath channel is derived. The receiver is assumed to be a coherent RAKE receiver. Three types of diversity schemes are considered: selection diversity, equal gain diversity combining and maximal ratio diversity combining. The error probability derivation does not resort to the widely used Gaussian approximation for the intersymbol interference and multiple access interference and is very accurate. The derived series for probability of error calculations is used to assess the reduction in the system capacity due to different levels of synchronization errors. For all three diversity combining schemes considered, the degradation in the system performance is expressed as an effective reduction in the system processing gain. Systems of 1.25 MHz, 5 MHz and 10 MHz are considered for different number of diversity branches and it is shown that the percentage reduction in the system capacity due to synchronization errors is approximately the same for all these systems.

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... The CF method used to evaluate the performance of the DS-SSMA scheme in multipath fading channels with multipath intersymbol interference was applied in [10] without taking into account the MAI effect. An approximate Fourier series technique was utilized in [11,12] to evaluate the BER performance in selective and non-selective Rayleigh fading environments. System degradation caused by an imperfect chip and phase synchronization were also assessed in this technique. ...
... where C n is defined in (59) (see Appendix A) and K μ (z) is the Bessel function for imaginary arguments [24] and it is defined in (67). The PDF of MAI in (12) for the distinct scenario shows that the MAI experienced at any receiving antenna is a sum of Laplacian distributed random variables. It can be easily seen that by setting N = 1 in the above, the PDF of MAI will reduce to a single Laplacian random variable, which is consistent with the result obtained in [16]. ...
... Here, σ 2 z = E z l m 2 and σ 2 η = E η l m 2 represent the MAI power and the noise power, respectively. In order to evaluate the MAI power, we make use of the probability of MAI expression derived in (12). Thus, we can evaluate σ 2 z as ...
Article
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A major limiting factor in the performance of multiple-input-multiple-output (MIMO) code division multiple access (CDMA) systems is multiple access interference (MAI) which can reduce the system’s capacity and increase its bit error rate (BER). Thus, a statistical characterization of the MAI is vital in analyzing the performance of such systems. Since the statistical analysis of MAI in MIMO-CDMA systems is quite involved, especially when these systems are fading, existing works in the literature, such as successive interference cancellation (SIC) or parallel interference cancellation (PIC), employ suboptimal approaches to detect the subscriber without involving the need for MAI statistics. The knowledge of both MAI and noise statistics plays a vital role in various applications such as the design of an optimum receiver based on maximum likelihood (ML) detection, evaluation of the probability of bit error, calculation of the system’s capacity, evaluation of the outage probability, estimation of the channel’s impulse response using methods including the minimum mean-square-error (MMSE), the maximum likelihood(ML), and the maximum a posteriori probability (MAP) criterion. To the best of our knowledge, there is no existing work that explicitly evaluates the statistics of the MAI-plus-noise in MIMO fading channels. This constitutes the prime objective of our proposed study here. In this work, we derive the expressions for the probability density function (PDF) of MAI and MAI-plus-noise in MIMO-CDMA systems in the presence of both Rayleigh fading channels and additive white Gaussian noise. Moreover, we evaluate the probability of the bit error rate in the presence of optimum reception using a ML receiver. Our theoretical findings can provide a reliable basis for both system design and various performance analyses of such systems. Our simulation results show that the theoretical findings are very well substantiated.
... However, fast algorithms to compute BEP of Rake receivers in the presence of delay estimation errors and Rayleigh multipath channels, with arbitrarily spaced channel taps and correlated fading are still hard to be found in the existing literature. BEP of a Rake receiver can be derived based on the probability distribution function (pdf) of the signal-to-noise ratio (SNR) at the output of the maximum ratio combiner (MRC) [2], [3], [7], or, equivalently, based on the characteristic function (CF) of SNR at the output of the combiner [8] or on the CF of the quadratic receiver [9], [10], [11]. For Rayleigh fading channels and in the absence of code synchronization errors, the SNR at the output of MRC can be modeled as a quadratic form in complex Gaussian variables [7], [13], [14]. ...
... If both fading and code synchronization errors are present, the statistics of SNR are changed compared to the case with no delay errors, and closed form formulas of its pdf are not easy to be derived. The solution usually adopted to deal with multipath fading channels and code synchronization errors is to assume flat fading channels, whose pdf over the observation interval is approximatively constant [2], [3]. Alternatively, characteristic function-based methods can be employed, but they have a large computational complexity, especially when channel imperfections, such as code synchronization errors, are taken into account [11]. ...
... One important question when dealing with Rake receivers is how much diversity can be gained if closely-spaced paths are used in the combiner. Usually, it is assumed that the paths are at least one chip apart [2], [3], [7]. However, some diversity might be achieved even if the paths are closely-spaced, and our theoretical model allows us to study this effect. ...
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We derive here a simple and accurate theoretical method for computing the bit-error-probability (BEP) of a direct-sequence spread spectrum (DS-SS) receiver using maximum ratio com-biner (MRC), in the presence of code synchronization errors, root raised cosine (RRC) pulse shaping, and Rayleigh fading channels with correlated paths. Theoretical BEP curves with QPSK modulation are validated by link level simulations for different downlink Rayleigh fading channels. The impact of the delay estimation errors on the performance of Rake receiver is analyzed for both closely-spaced and distant channel taps, and for different path correlation coefficients.
... Many of these techniques are based on extensions of previous studies of intersymbol interference (ISI) systems. These methods include the moment space technique [13], characteristic function method [14], method of moments [15], [16], and an approximate Fourier series method [17], [18]. Generally, these techniques can achieve more accurate BER estimate than CLT-based approximations at the expense of much higher computational complexity. ...
... The characteristic function method was used in studying the performance of DS-SS systems on specular multipath fading channels with multipath ISI; however, MAI was not considered in this paper [20]. In [17] and [18], Sunay and McLane used an approximate Fourier series method to study BER performance under both frequency nonselective and selective Rayleigh fading. Additionally, the system degradations due to imperfect chip and phase synchronization were assessed. ...
... Averaging over in (17) with respect to the Rayleigh distribution (5) and using the integral identity [24, p. 101, eq. 3.61], we approximate the average BER in Rayleigh fading using the SGA as (18) ...
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A binary direct-sequence spread-spectrum multiple-access system with random sequences in flat Rayleigh fading is considered. A new explicit closed-form expression is obtained for the characteristic function of the multiple-access interference signals. It is shown that the overall error rate can be expressed by a single integral whose integrand is nonnegative and exponentially decaying. Bit-error rates (BERs) are obtained with this expression to any desired accuracy with minimal computational complexity. The dependence of the system BER on the number of transitions in the target user signature chip sequence is explicitly derived. The results are used to examine definitively the validity of three Gaussian approximations and to compare the performances of synchronous systems to asynchronous systems
... We can now set or to obtain useful formulas for the integral. Suppose (11) then using the identity in (3), we have (12) Substituting (11) and (12) in (10), setting in (10), and letting , we obtain (4b). The error term in (5b) is obtained by combining and in (10). ...
... When deriving (4b), we set in the LHS of (10). However, if instead we set (a variable parameter) and use (11) and (12) in (10), then we get a slightly more general infinite series for the cdf (17) where (18) This series depends on the sampling rate parameter and an additional parameter . Note that if , then this reduces to (4b), the Beaulieu series. ...
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