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Achievable performance over the correlated Rician channel

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TLDR
The authors investigate the achievable error probabilities over the correlated Rician channel, employing coherent detection and ideal side information on the realization of the fading processes at the receiver to enhance the insight to the effect of the basic parameters governing the performance.
Abstract
The correlated Rician channel is a useful model for a slowly fading channel, in which the complex fading process is composed of two quadrature Gaussian processes with a given autocorrelation function. For slow fading the correlation between adjacent symbols is relatively high. The authors investigate the achievable error probabilities over the channel, employing coherent detection and ideal side information on the realization of the fading processes at the receiver. An underlying decoding delay constraint which precludes the use of (ideal) interleaving is assumed. Coded BPSK performance is addressed both with and without the piecewise constant approximation (according to which the fading value remains constant during the symbol duration). For the latter case, that is no piecewise constant approximation, the analysis relies on the Fredholm determinant associated with the fading process autocorrelation function. The authors focus on the exponentially correlated channel. The "worst case" pairs of codewords are identified. The exponential behavior of the error probability with random coding (and i.i.d. Gaussian inputs) is analyzed, and the behavior of the cut-off rate and capacity is addressed. The results enhance the insight to the effect of the basic parameters governing the performance and these are examined in view of previous works and compared to relevant performance results for the block-fading channel model. >

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Citations
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Journal ArticleDOI

Fading channels: information-theoretic and communications aspects

TL;DR: This paper describes the statistical models of fading channels which are frequently used in the analysis and design of communication systems, and focuses on the information theory of fading channel, by emphasizing capacity as the most important performance measure.
Journal ArticleDOI

A simple and general parameterization quantifying performance in fading channels

TL;DR: The proposed analysis offers a simple and unifying approach to evaluating the performance of uncoded and (possibly space-time) coded transmissions over fading channels, and the method applies to almost all digital modulation schemes, including M-ary phaseshift keying, quadrature amplitude modulation, and frequency-shift keying with coherent or noncoherent detection.
Journal ArticleDOI

Design and analysis of turbo codes on Rayleigh fading channels

TL;DR: The performance and design of turbo codes using coherent BPSK signaling on the Rayleigh fading channel is considered and Turbo interleaver design criteria are developed and architectural modifications are proposed for improved performance.
Journal ArticleDOI

Performance bounds for coded free-space optical communications through atmospheric turbulence channels

TL;DR: This work derives an approximate upper bound on the pairwise codeword-error probability for transmission through channels with correlated turbulence-induced fading for block codes, convolutional codes, and turbo codes for free-space optical communication through weak atmospheric turbulence channels.
Journal ArticleDOI

Error statistics in data transmission over fading channels

TL;DR: It is shown that a Markov approximation for the block error process is a good model for a broad range of parameters, and the relationship between the marginal error rate and the transition probability is largely insensitive to parameters such as block length, degree of forward error correction and modulation format.
References
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Book

Digital Communications

Book

Information Theory and Reliable Communication

TL;DR: This chapter discusses Coding for Discrete Sources, Techniques for Coding and Decoding, and Source Coding with a Fidelity Criterion.
Book

Non-negative Matrices and Markov Chains

Eugene Seneta
TL;DR: Finite Non-Negative Matrices as mentioned in this paper are a generalization of finite stochastic matrices, and finite non-negative matrices have been studied extensively in the literature.
Book

Entropy and information theory

TL;DR: This book is an updated version of the information theory classic, first published in 1990, with expanded treatment of stationary or sliding-block codes and their relations to traditional block codes and discussion of results from ergodic theory relevant to information theory.
Journal ArticleDOI

Information theoretic considerations for cellular mobile radio

TL;DR: Some information-theoretic considerations used to determine upper bounds on the information rates that can be reliably transmitted over a two-ray propagation path mobile radio channel model, operating in a time division multiplex access (TDMA) regime, under given decoding delay constraints are presented.