Performance of multihop detect‐and‐forward relaying system over fluctuating two‐ray fading channels

Due to its low out-of-band emission and high spectral efficiency, the generalized frequency division multiplexing (GFDM) has been adopted as one of the most prominent waveform techniques for the 5G networks. To further combat the deep fading, the space time coding (STC) can be integrated with the GFDM system which provide high diversity gain that results into low symbol error rate at the receiver. In this article, a generalized model of space time coded GFDM system (STC-GFDM) has been proposed. More precisely, a comprehensive analytical framework to compute the average symbol error rate (ASER) is introduced, which can be used for any MIMO configuration, code rate, and arbitrary fading channel. The proposed framework has wider applicability over generalized fading channels and having more accurate exact solution along with easy to evaluate approximate solution. Thus, the proposed framework extends the horizon of performance analysis of STC-GFDM system over any fading scenario, that is not covered so far in the literature. In general, the closed from expressions of exact and approximate along with asymptotic ASER are derived for different fading channels using moment generating function (MGF) approach. Particularly, the ASER analysis has been performed analytically using derived expression over Rayleigh, TWDP, Nakagami-q, and Nakagami-m fading channels for 𝜇-ary quadrature amplitude modulation (𝜇-QAM). This analysis confirms that with the increase in transmit and receive antenna and decrease in modulation order, the ASER performance improves for all fading channels. Also, the improvement in ASER is observed as the power of specular components (ie, LOS paths) increases. Furthermore, these analytical results are validated using Monte-Carlo simulation.

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“…To find the exact closed form expression of ASER the integral F 1 and F 2 needs to be solved. Substitute (40) into (37) gives…”

Section: Using Exact Methodsmentioning

confidence: 99%

“…In asymptotic analysis, the average SNR values are assumed to be very large that is,

γ_{l} > > > 1

39,40 . For an example, the MGF of Rayleigh fading channel given in Table 3 can be approximated as

V_{γ_{l}}^{\infty} (x) = {(- x γ_{l})}^{- 1}

…”

Section: Aser Analysismentioning

confidence: 99%

Performance analysis of space time coded generalized frequency division multiplexing system over generalized fading channels

Kalsotra

Singh

Joshi

2021

Trans Emerging Tel Tech

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“…for V 1 = V 2 = 0 it reduces to Rayleigh channel model (see [15]-Table I, for details). The FTR model is widely adopted in recent works as an effective mmWave channel model in analyzing different communication schemes, see, e.g., [11], [12], [31]- [38] and references therein.…”

Section: B Motivation and Contributionsmentioning

confidence: 99%

Amplify-and-Forward Relaying With Maximal Ratio Combining Over Fluctuating Two-Ray Channel: Non-Asymptotic and Asymptotic Performance Analysis

Hashemi

Haghighat

Eslami

et al. 2020

IEEE Trans. Commun.

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Fluctuating two-ray (FTR) channel model was shown to effectively characterize millimeter wave (mmWave) communication channels. In this paper, we adopt FTR to investigate amplify-and-Forward (AF) mmWave relaying system. Two communications scenarios are considered corresponding to the presence and absence of a direct link between the transmitter and receiver. Outage probability and symbol error rate (SER) are then analytically obtained as performance metrics. The results are further compared with the corresponding metrics obtained based on conventional channel models including Nakagamim and two-wave with diffuse power (TWDP). Especially, for the high-SNR regime, our analyses indicate that performance evaluations based on the conventional models significantly deviate from that of based on the FTR model. Our results provide quantitative insights on the importance of model selection in design and performance evaluations of relay-based mmWave systems. Moreover, for the high-SNR regime, we carry out asymptotic analysis and obtain a low-complexity expression for the achieved AF relaying gain. Such an expression provides a quantitative measure on whether or not AF relaying outperforms no-relaying in a given setting. Extensive numerical and simulation results are provided to confirm the accuracy of the analysis and investigate system performance in different settings.

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“…Channel capacity with different power adaption methods under FTR fading was explored, also in terms of infinite summations, in [12]. In [13] and [14] the performance of physical layer security in FTR fading channels was analyzed, relay network performance for the FTR fading was investigated in [6]- [8], [15]; and [16] studied the performance of energy detection in FTR fading.…”

Section: Introductionmentioning

confidence: 99%

Alternative Formulations for the Fluctuating Two-Ray Fading Model

Olyaee¹,

Romero-Jerez²,

López‐Martínez³

et al. 2021

Preprint

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We present two alternative formulations for the distribution of the fluctuating two-ray (FTR) fading model, which simplify its statistical characterization and subsequent use for performance evaluation. New expressions for the probability density function (PDF) and cumulative distribution function of the FTR model are obtained based on the observation that the FTR fading distribution is described, for arbitrary m, as an underlying Rician Shadowed (RS) distribution with continuously varying parameter K, while for the special case of m being an integer, the FTR fading model is described in terms of a finite number of underlying squared Nakagami-m distributions. It is shown that the chief statistics and any performance metric that are computed by averaging over the PDF of the FTR fading model can be expressed in terms of a finite-range integral over the corresponding statistic or performance metric for the RS (for arbitrary m) or the Nakagami-m (for integer m) fading models, which have a simpler analytical characterization than the FTR model and for which many results are available in closed-form. New expressions for some Laplace-domain statistics of interest are also obtained; these are used to exemplify the practical relevance of this new formulation for performance analysis.

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Performance of multihop detect‐and‐forward relaying system over fluctuating two‐ray fading channels

Cited by 14 publications

References 30 publications

Performance analysis of space time coded generalized frequency division multiplexing system over generalized fading channels

Performance analysis of space time coded generalized frequency division multiplexing system over generalized fading channels

Amplify-and-Forward Relaying With Maximal Ratio Combining Over Fluctuating Two-Ray Channel: Non-Asymptotic and Asymptotic Performance Analysis

Alternative Formulations for the Fluctuating Two-Ray Fading Model

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