2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) 2019
DOI: 10.1109/spawc.2019.8815443
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Power Control in Parallel Symmetric $\alpha$ -Stable Noise Channels

Abstract: Parallel channels form a basic building block for communication systems, including those based on OFDM and CDMA. While parallel Gaussian noise channels have been widely studied, parallel impulsive noise channels have received significantly less attention despite their importance in a range of modern communication systems. In this paper, this problem is addressed and a power allocation strategy is developed for parallel symmetric α-stable noise channels-a key class of impulsive noise channels. We show that our … Show more

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Cited by 4 publications
(4 citation statements)
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“…Also, consider the model with a fixed power allocation has a power control circuit in the base station to divide the transmit power among the three users and give the signals a power weight. Unlike Gaussian models, the α-stable distribution is used which characterized by heavy tails, which accounts for a high probability of large amplitude noise (20) . Evaluating system performance under Additive Symmetric α-Stable Noise fading channel is rather challenging.…”
Section: Methodsmentioning
confidence: 99%
“…Also, consider the model with a fixed power allocation has a power control circuit in the base station to divide the transmit power among the three users and give the signals a power weight. Unlike Gaussian models, the α-stable distribution is used which characterized by heavy tails, which accounts for a high probability of large amplitude noise (20) . Evaluating system performance under Additive Symmetric α-Stable Noise fading channel is rather challenging.…”
Section: Methodsmentioning
confidence: 99%
“…Due to the fact that α-stable models enjoy well-studied parameterizations and relative tractability, they are often preferred to other heavy-tailed models and provide superior modeling capability when compared to classical Gaussian models when heavy tails are present. Evidence for this tractability is apparent in existing work, which derives useful expressions for the probability of error [15], optimal linear combining strategies [20,21], power control [28], channel capacity [29] and optimal input distributions [30].…”
Section: Related Workmentioning
confidence: 99%
“…The design of symbol detection strategies and their performance has been addressed in (Niranjayan and Beaulieu, 2009;Ghannudi et al, 2010;Clavier et al, 2021a) and decoding algorithms developed in (Gu and Clavier, 2012;Mestrah et al, 2020). Noise parameter estimation algorithms have also been developed in (Kuruoglu, 2001) and power control strategies in (Freitas et al, 2018).…”
mentioning
confidence: 99%
“…However, little is known about performance limits or optimal signaling strategies in the presence of multivariate α-stable noise. In particular, the information capacity remains an open question in such channels, which is useful for selecting coding rates-via the noisy channel coding theorem-and in designing resource allocation strategies (Freitas et al, 2018).…”
mentioning
confidence: 99%