Packet error rate in the non-interleaved Rayleigh channel

Bischl, H.; Lutz, E.

doi:10.1109/26.380184

Cited by 65 publications

(35 citation statements)

References 6 publications

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“…Several studies and proposals have introduced empirical or approximate methods for PER computing in a channel with memory [15]- [17]. They concluded that such calculation is quite complex, imprecise and cannot be generalized to the real applications.…”

Section: Model To Compute the Packet Error Ratementioning

confidence: 99%

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Analytical Comparison of the Performance of Adaptive Modulation and Coding in Wireless Network Under Rayleigh Fading

Bandiri

Braga

Spadoti

2017

J. Microw. Optoelectron. Electromagn. Appl.

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I. INTRODUCTION The rapid growth in the use of information networks, increasing the data rates, led to the necessity to implement novel technique aiming to improve wireless networks communication performance. In conventional communication systems, transmission characteristics are adjusted for the worst channel setting behavior in order to provide a lower limit to a specific error rate [1]. Adaptive Modulation and Coding (AMC), which includes both adaptive modulation (AdM) and adaptive Forward Error Correction (AdFEC) operating together, have been developed to face fading and enhance the wireless systems performance. They maximize bandwidth efficiency through selecting an optimal combination from the modulation and coding scheme (MCS), where the resolution depends on the channel state information. Consequently, every modulation and code scheme will be linked to a constellation size and coding rate respectively [2]. AMC allows spectrally efficient transmission in function of time-

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Section: Model To Compute the Packet Error Ratementioning

confidence: 99%

“…In a wireless communication system with a Rayleigh fading channel, errors tend to occur in bursts instead of random errors that occur in an Additive White Gaussian Noise (AWGN) channel [15]- [17].…”

Section: Model To Compute the Packet Error Ratementioning

confidence: 99%

Analytical Comparison of the Performance of Adaptive Modulation and Coding in Wireless Network Under Rayleigh Fading

Bandiri

Braga

Spadoti

2017

J. Microw. Optoelectron. Electromagn. Appl.

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show abstract

“…Wang and Moayeri [23] proposed an FSMC based on the partitioning of the received SNR into a finite number of states to model Rayleigh fading channels. The same approach was also independently presented in [4] and used in [24] and [25]. The model proposed in [23] attracted much attention because it has a good balance between accuracy and complexity.…”

Section: Introductionmentioning

confidence: 99%

“…In real-time personal communication systems, data are transmitted in short blocks, and fairly strict delay constraints must be obeyed (e.g., see [3]). Noninterleaved or finite-interleaved packet transmission over fading channels has recently received significant attention [4], [5]. Therefore, in this paper, we start with the premise that the inherent memory of fading communication channels cannot be neglected.…”

Section: Introductionmentioning

confidence: 99%

A Model for Correlated Rician Fading Channels Based on a Finite Queue

Zhong¹,

Alajaji

Takahara

2008

IEEE Trans. Veh. Technol.

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Abstract-We study the problem of approximating the family of hard-decision frequency-shift keying demodulated correlated flat Rician fading channels via a recently introduced queue-based channel (QBC) model for binary communication channels with memory. For a given "discretized" fading channel, we construct a QBC whose noise process is statistically "close" in the Kullback-Leibler sense to the error or noise process that is generated by the fading channel, and the modeling accuracy is evaluated in terms of noise autocorrelation function (ACF) and channel capacity. Numerical results indicate that the QBC provides a good approximation of the fading channels for a wide range of channel conditions. Furthermore, it estimates the noise ACF more accurately than the finite-state Markov models that have been recently studied by Pimentel et al., while, at the same time, remaining mathematically tractable.Index Terms-Autocorrelation function (ACF), capacity, correlated Rician fading, error statistics, Kullback-Leibler divergence rate (KLDR), modeling of communication channels with memory.

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“…A discrete stochastic process is a Markov process of th-order if it obeys the relation (9) A first-order binary Markov model is a FSC model with two states represented by the value of . An error symbol is produced when the chain transitions to state 1.…”

Section: A Th-order Markov Modelsmentioning

confidence: 99%

Finite-State Markov Modeling of Correlated Rician-Fading Channels

Pimentel

Falk

Lisboa

2004

IEEE Trans. Veh. Technol.

107

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Abstract-Stochastic properties of the binary channel that describe the successes and failures of the transmission of a modulated signal over a time-correlated flat-fading channel are considered for investigation. This analysis is employed to develop th-order Markov models for such a burst channel. The order of the Markov model that generates accurate analytical models is estimated for a broad range of fading environments. The parameterization and accuracy of an important class of hidden Markov models, known as the Gilbert-Elliott channel (GEC), are also investigated. Fading rates are identified in which the th-order Markov model and the GEC model approximate the fading channel with similar accuracy. The latter model is useful for approximating slowly fading processes, since it provides a more compact parameterization.

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Packet error rate in the non-interleaved Rayleigh channel

Cited by 65 publications

References 6 publications

Analytical Comparison of the Performance of Adaptive Modulation and Coding in Wireless Network Under Rayleigh Fading

Analytical Comparison of the Performance of Adaptive Modulation and Coding in Wireless Network Under Rayleigh Fading

A Model for Correlated Rician Fading Channels Based on a Finite Queue

Finite-State Markov Modeling of Correlated Rician-Fading Channels

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