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Recent studies have demonstrated the effectiveness of proactive resource allocation under the assumption of perfect prediction of the user’s future data rate. In this paper, imperfect rate prediction merely based on the context information including large-scale channel gains of users and statistical information of system available resources is considered. Under the outagebased quality of service constraint, we propose a proactive power allocation policy aimed at minimizing the total transmit energy consumption.

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Abstract — This paper proposes a low-complexity scheme for the integration of power-line communication (PLC) and visible-light communication (VLC) systems. Rather than decoding the PLC signal prior to transmission from an LED luminary, a simple all-analog PLC/VLC amplify-and-forward (AF) module is described. The incoming PLC signals, which occupy a band of 2-28 MHz, are frequency down-shifted prior to transmission to increase the usable bandwidth of the LEDs. The required DC bias is then added to make the signals compatible with intensity modulation/direct detection (IM/DD).

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Abstract — This paper proposes a low-complexity scheme for the integration of power-line communication (PLC) and visible-light communication (VLC) systems. Rather than decoding the PLC signal prior to transmission from an LED luminary, a simple all-analog PLC/VLC amplify-and-forward (AF) module is described. The incoming PLC signals, which occupy a band of 2-28 MHz, are frequency down-shifted prior to transmission to increase the usable bandwidth of the LEDs. The required DC bias is then added to make the signals compatible with intensity modulation/direct detection (IM/DD).

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Generalized water filling problem is implemented with the least number of flops (or lease computational complexity) possible.

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Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side information, where the correlation is expressed by a generic binary asymmetric channel. Specifically, we present an in-depth analysis of rate distortion with side information available to both the encoder and decoder (conventional predictive), as well as the Wyner-Ziv problem for this particular setup.

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We propose in this paper a new method to compute the characteristic function (CF) of generalized Gaussian (GG) random variable in terms of the Fox H function. The CF of the sum of two independent GG random variables is then deduced. Based on this results, the probability density function (PDF) and the cumulative distribution function (CDF) of the sum distribution are obtained. These functions are expressed in terms of the bivariate Fox H function. Next, the statistics of the distribution of the sum, such as the moments, the cumulant, and the kurtosis, are analyzed and computed.

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In this paper, a novel cooperative protocol for free-space optical (FSO) communication systems is proposed, wherein the performance analysis is evaluated over gamma-gamma (GG) fading channels with pointing errors. This novel relaying scheme is based on the optical path selection, source-destination (S-D) or source-relay-destination (S-R-D), with a greater value of fading gain or irradiance together with the use of repetition coding (RC), exploiting the potential time-diversity order available in the turbulent channel in order to maintain a high diversity order.

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Complexity of linear finite-impulse-response (FIR)
equalizers is proportional to the square of the number of nonzero
taps in the filter. This makes equalization of channels with long
impulse responses using either zero-forcing or minimum mean
square error (MMSE) filters computationally expensive. Sparse
equalization is a widely-used technique to solve this problem. In
this paper, a general framework is provided that transforms the
problem of sparse linear equalizers (LEs) design into the problem

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