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Contention Resolution on a Fading Channel

Proceedings of the 2016 ACM Symposium on Principles of Distributed Computing, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jeremy T. Fineman   +3 more
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A Receiver with Memory for Fading Channels

IEEE Transactions on Communications, 1978
In this paper, an adaptive receiver with memory for fading communication channels is considered. The receiver consists of an estimator and a detector. The estimator is a finite-memory MMSE estimator with decision-feedback which minimizes the probability of error of the receiver. Asymptotic approximations are employed to derive an adaptive decision role
Pramod K. Varshney, Abraham H. Haddad
openaire   +2 more sources

Channel capacities of fading radio channels

Proceedings of PIMRC '96 - 7th International Symposium on Personal, Indoor, and Mobile Communications, 2002
Channel capacities of various channel models are investigated. We consider two frequency selective channels, the indoor radio channel, simulated with ray tracing, and the two path channel. Additionally Rayleigh-, Rice- and Nakagami-m-distributed stochastic channel models and the discrete-time additive Gaussian noise channel with binomial distributed ...
Thomas Huschka   +2 more
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Equivalent fading statistics in the K fading channels

2013 22nd Wireless and Optical Communication Conference, 2013
In order to obtain the fading statistics for the K fading channels, the equivalent process of the K process, i.e. the product process of a Rayleigh process and a Nakagami process, is utilized. The mapping relationship between the K process and its equivalent process is found by equating the arbitrary order moments of them. On this basis, the equivalent
Kun Xiao, Yi Zhang, Xiansong Lu
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On the channel capacity of wireless fading channels

Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2004
The objectives of this paper are twofold. First, to point out the significance of certain results on stochastic processes in computing the channel capacity for flat fading wireless channels. Next, to design an optimal encoding and decoding strategies for general sources, when the channel is perfectly known to both transmitter and receiver.
Charalambos D. Charalambous   +1 more
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On the Fade Duration Distribution in Nakagami Fading Channels

2007 IEEE International Conference on Communications, 2007
During almost fifty years the fade duration distribution (FDD) of random signals has been an open research topic. However, for Nakagami fading channels, and in general for the great majority of non-Gaussian processes, closed form general solutions are still unknown.
A. Fernando Ramos-Alarcón   +2 more
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The Fading Number of a Multiple-Access Rician Fading Channel

IEEE Transactions on Information Theory, 2009
The fading number of a noncoherent two-user Ri-cian fading channel is derived. The fading number is the second term in the high-SNR expansion of the sum-rate capacity of this multiple-access channel. It is shown that the fading number is identical to the fading number of the single-user Rician fading channel that is obtained when the user seeing the ...
Gu-Rong Lin, Stefan M. Moser
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ARMA Synthesis of Fading Channels

IEEE Transactions on Wireless Communications, 2008
Computationally scalable and accurate estimation, prediction, and simulation of wireless communication channels is critical to the development of more adaptive transceiver algorithms. Previously, the application of autoregressive moving average (ARMA) modeling to fading processes has been complicated by ill-conditioning and nonlinear parameter ...
Hani Mehrpouyan, Steven D. Blostein
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Fading channel communications

IEEE Communications Magazine, 1980
Adaptive processing can reduce the effects of fading on beyond-the-horizon digital radio links. Two radio propagation channels for beyond-thehorizon communications, troposcatter, and HF are currently being reexamined. In the past, transmission over these radio channels had been considered unreliable due to fading effects.
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Modeling wireless channel fading

IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211), 2002
We compare measured fading data with the popular Rayleigh model. Our results show that this model does not agree with the experimental data. As an alternative, we approximate the experimental data using autoregressive moving average (ARMA) models. To validate the models, we compare several characteristics of fading obtained analytically, by simulation,
William Turin   +3 more
openaire   +1 more source

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