BER performance comparison of MIMO system with STBC and MRC over different fading channels

Tiwari, Keerti; Saini, Davinder S.

doi:10.1109/ichpca.2014.7045307

Cited by 10 publications

(6 citation statements)

References 15 publications

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“…In other words, simulation results validate the analytical results. Although we find one special case of Rayleigh fading with β = 2, our simulation results are validated by the results of Tiwari and Saini (2014) given for Rayleigh fading condition.…”

Section: Symbol Error Rate Analysissupporting

confidence: 57%

“…Also, it gives better performance than selection combining and equal gain combining techniques (Jankiraman, 2004; Tiwari and Saini, 2015). In Tiwari and Saini (2014), STBC and MRC have been compared by error rate performance under Rayleigh, Rician and Nakagami-m fading. Later on, authors have used OSTBC/MRC in MIMO system to analyze the distribution of the sum of squared random variables for estimating the error rate performance with reduced computation complexity (Ropokis et al , 2010).…”

Section: Introductionmentioning

confidence: 99%

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Symbol error rate of MIMO single and double-Weibull fading channels with OSTBC and MRC

Tiwari

Saini

Bhooshan

2018

WJE

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Purpose This paper aims to exploit an orthogonal space-time block code (OSTBC) and maximal ratio combining (MRC) techniques to evaluate error rate performance of multiple-input multiple-output system for different modulation schemes operating over single- and double-Weibull fading channels. Design/methodology/approach The authors provided a novel analytical expression for cumulative distribution function (CDF) of double-Weibull distribution in the form of Meijer-G function. They also evaluated probability density function (PDF) and CDF for single- and double-Weibull random variables. CDF-based closed-form expressions of symbol error rate (SER) are computed for the proposed systems’ design. Findings Based on simulation and analytical results, the authors have shown that double-Weibull fading which shows the cascaded nature of channel gives significantly poor SER performance compared to that of single-Weibull fading. Moreover, MRC offers an improved error rate performance compared to that of OSTBC. As the fading parameter increases for any modulation technique, the required signal-to-noise ratio (SNR) gap between single- and double-Weibull fading decreases. Finally, it is observed that the analytical results are a good approximation to simulation results. Practical implications For practical implication, the authors use a number of antennas at the base station, but solely to maximize performance, one can use receive diversity, i.e. MRC. Originality/value Using higher-order modulation (i.e. 16-QAM), 4 and 1 dB less SNR is required at high and less fading, respectively, in single-Weibull fading as compared to double-Weibull fading. Hence, at higher-order modulation, double-Weibull channel model performs better as compared to lower-order modulation.

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Section: Symbol Error Rate Analysissupporting

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Symbol error rate of MIMO single and double-Weibull fading channels with OSTBC and MRC

Tiwari

Saini

Bhooshan

2018

WJE

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“…The Alamouti scheme employs diversity at the transmitter whereas the MRC scheme uses diversity at the receiver. In the MRC at the receiver, the signals received through all diversity links are cophased, weighted proportionally, and then combined (Das and Subadar, 2017;Tiwari and Saini, 2014). Although the MIMO-MRC is one of the best methods for maximising the SNR, it is significantly affected by 'Co-Channel Interference (CCI)' (Kang and Alouini, 2003;Ahn et al, 2009;Tiwari and Saini, 2014).…”

Section: Maximal Ratio Combining (Mrc)mentioning

confidence: 99%

Channel capacity and bit error rate analysis in wireless communication system over Rayleigh fading channel

Timande¹,

Nigam²

2022

IJWMC

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In high-speed wireless systems, bandwidth, transmit power, the complexity of hardware, quality of services, and throughput are the major issues. The 'Multi-Input-Multi-Output (MIMO)' system specifically works to increase the capacity of the wireless channel and to improve the 'Bit-Error-Rates (BER)' performance. The 'Orthogonal-Frequency-Division-Multiplexing (OFDM)' system is used for diminishing interferences within the available bandwidth. The spatial diversity of MIMO and the spectral efficiency of OFDM schemes can be combined to improve the channel capacity and error performance remarkably within the available bandwidth. Also, this combination provides robustness against various channel impairments. This article illustrates antenna diversity by employing different antenna configurations for the improvement in ergodic channel capacity. The 'Maximal-Ratio-Combing (MRC)' scheme provides receiver antenna diversity which enhances the channel capacity and improves the error rates performance of the MIMO-OFDM-based wireless communication system. Simulation results show that the proposed schemes achieve better results for channel capacity and error-rate performance.

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“…MIMO system uses receiver diversity e.g. maximal ratio combining to achieve improved error rate performance by maximizing output signal-to-noise ratio (SNR) [3].Various channel models have been addressed in literature to model small scale fading and the system performance has been evaluated for Rayleigh, Rician, Nakagami-m, Weibull fading scenario with OSTBC using different modulation techniques [4][5][6]. In [7][8][9], error rate of MIMO-MRC system has been analyzed with and without noise and interference.…”

mentioning

confidence: 99%

Error Rate Analysis of MIMO System with OSTBC and MRC in Composite Weibull-Gamma Fading

Tiwari¹,

Saini²,

Bhooshan³

2018

IJEEI

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Abstract:A paradigm for multiple-input multiple-output (MIMO) channel modeling demands diversity technique to compensate the effects of fading and shadowing. In this paper, error performance of MIMO system is analyzed with orthogonal space time block code (OSTBC) and maximal ratio combining (MRC) techniques over Weibull-gamma (WG) fading channel. WG distribution forms a composite channel model which is used to determine the effects of multipath as well as shadowing. In this scenario, exact analytical expressions for symbol error rate (SER) are computed for MIMO systems using OSTBC and MRC. Consequently, the effects of fading severity by varying shape parameters are also shown by simulation and analytical results.Keywords: multiple-input multiple-output, orthogonal space time block code, maximal ratio combining, Weibull-gamma fading, symbol error rate. IntroductionIn the present wireless systems, the demand of proliferation of bandwidth for high data rate and reliable communication requirement is increasing. Multiple-input multiple-output (MIMO) systems have been investigated to achieve these requirements. Also, diversity techniques have been recommended for increasing the reliability of system. Orthogonal space time block codes (OSTBCs) have been employed in MIMO systems to achieve the full transmit diversity while permitting a simple maximum likelihood decoding algorithm. This algorithm is based on linear processing of received signals [1][2]. MIMO system uses receiver diversity e.g. maximal ratio combining to achieve improved error rate performance by maximizing output signal-to-noise ratio (SNR) [3].Various channel models have been addressed in literature to model small scale fading and the system performance has been evaluated for Rayleigh, Rician, Nakagami-m, Weibull fading scenario with OSTBC using different modulation techniques [4][5][6]. In [7][8][9], error rate of MIMO-MRC system has been analyzed with and without noise and interference. In [10], computationally efficient bit error rate (BER) expressions have been computed for MIMO system using OSTBC and MRC with transmit antenna selection (TAS) technique in equicorrelated Rayleigh fading environment. It has been analyzed that TAS/MRC performs better than OSTBC in terms of BER. Large scale fading effect (i.e., shadowing) has also been considered along with small scale fading for analyzing the system performance. Hence, lognormal and gamma distributions have been introduced to evaluate shadowing effects [11][12]. In [13][14][15], channel models like Rayleigh-lognormal, Nakagami-m-lognormal and Weibulllognormal channels have been investigated. Although, gamma distribution is numerically more appropriate than lognormal distribution to model shadowing effects [16], several generic/composite distributions have been proposed using gamma distribution as an alternative of lognormal distribution. For example, K [16], and Generalized-K [17] channel models have been recommended for reducing complexity and enhancing accuracy of computational analysis.In [12], a ne...

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BER performance comparison of MIMO system with STBC and MRC over different fading channels

Cited by 10 publications

References 15 publications

Symbol error rate of MIMO single and double-Weibull fading channels with OSTBC and MRC

Symbol error rate of MIMO single and double-Weibull fading channels with OSTBC and MRC

Channel capacity and bit error rate analysis in wireless communication system over Rayleigh fading channel

Error Rate Analysis of MIMO System with OSTBC and MRC in Composite Weibull-Gamma Fading

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