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Proceedings ArticleDOI

Power and rate adaptation in the presence of Bernoulli-Gaussian modeled impulsive interference

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TLDR
In this paper, the power and rate adaptation in a point-to-point link with Rayleigh fading and impulsive interference was analyzed, and it was shown that the conventional water-filling algorithm is not optimal in an interference channel.
Abstract
In this paper, we analyze power and rate adaptation in a point-to-point link with Rayleigh fading and impulsive interference. We model the impulsive interference as a Bernoulli-Gaussian random process. Adaptation is used to maximize the average spectral efficiency by changing power and rate of the transmission subject to an average power and instantaneous probability of error constraints. Without impulsive interference, it is well known that water-filling is optimal for block fading. We provide two simple schemes that show that the conventional water-filling algorithm is not optimal in an impulsive interference channel.

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Wireless Communications

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Variable-rate variable-power MQAM for fading channels

TL;DR: There is a constant power gap between the spectral efficiency of the proposed technique and the channel capacity, and this gap is a simple function of the required bit-error rate (BER).
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A multipath model for the powerline channel

TL;DR: An analytic model describing complex transfer functions of typical powerline networks using only a small set of parameters is presented, based on physical signal propagation effects in mains networks including numerous branches and impedance mismatching.
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Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques

TL;DR: In this paper, the Shannon capacity of adaptive transmission techniques in conjunction with diversity-combining was studied. And the authors obtained closed-form solutions for the Rayleigh fading channel capacity under three adaptive policies: optimal power and rate adaptation, constant power with optimal rate adaptation and channel inversion with fixed rate.
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Analysis and modeling of impulsive noise in broad-band powerline communications

TL;DR: A statistical model of the time behavior of random impulsive noise based on a partitioned Markov chain is developed, which is suitable for implementation in computer-based communication system simulations.
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