Nonlinear complex M-SVR for LTE MIMO-OFDM channel with impulsive noise

Charrada, Anis

doi:10.1109/setit.2016.7939832

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…Considering the presence of impulsive noise, the coding gain between uncoded and suggested approach is approximately 8 dB at a target BER of 10 −4 . We now compare our results to those obtained in [28]. The authors proposed an effective technique to track the double-selected multipath channel for MIMO-OFDM system.…”

Section: Awgn and Impulsive Noise Under Rayleigh Channelmentioning

confidence: 82%

Cooperative Closed-Loop Coded-MIMO Transmissions for Smart Grid Wireless Applications

Sarr

Oyedapo

Agba

et al. 2019

Wireless Communications and Mobile Computing

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Inherent interfering signals generated by the underlying elements found in power substations have been known to span over consecutive noise samples, resulting in bursty interfering noise samples. In the impulsive noise environments, we elaborate a space-sensitive technique using multiple-input multiple-output (MIMO), which is particularly well suited in these usually very difficult situations. We assume the availability of channel state information (CSI) at the transmitter to achieve typical MIMO system gains in ad hoc mode. In this paper, we show that more than 10 dB gains are obtained with the most efficient system that we propose for achieving smart grid application requirements. On the one hand, the results obviously illustrate that the max-dmin precoder associated with the rank metric coding scheme is especially adapted to minimize the bit error rate (BER) when a maximum likelihood (ML) receiver is employed. On the other hand, it is shown that a novel node selection technique can reduce the required nodes transmission energies.

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Section: Awgn and Impulsive Noise Under Rayleigh Channelmentioning

confidence: 82%

Cooperative Closed-Loop Coded-MIMO Transmissions for Smart Grid Wireless Applications

Sarr

Oyedapo

Agba

et al. 2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…On the other hand, the work developed in [17] introduces an alternative solution to the same problem using an adaptive reception technique through adaptive recursive least mean square (RLS), adaptive normalized least mean square (NLMS), and variable stepsize adaptive normalized least mean (VSNLMS) algorithms, which aim to minimize the effect of impulsive noise on the system performance. In [18] the authors used a nonlinear complex Multiple Support Vector Machine Regression (M-SVR) methodology for estimation of fast-fading multipath channel.…”

Section: Introductionmentioning

confidence: 99%

A Novel Signal Detector in MIMO Systems Based on Complex Correntropy

et al. 2019

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In cellular systems, information signals must be transmitted at high rates and with high reliability. One of the possible solutions to meet such criteria is the use of systems with multiple transmitting and/or receiving antenna arranged in the form of a multiple-input, multiple-output (MIMO) system. However, signal processing techniques in MIMO systems are developed under the assumption of transmission on Gaussian channels, which may lead to the decrease of efficiency in non-Gaussian communication scenarios. In this context, the widespread use of MIMO systems in recent years has motivated the development of new processing techniques that can be employed in scenarios that also consider the presence of non-Gaussian noise in communication channels. This work proposes a novel signal detection technique for MIMO systems, which is called maximum correntropy detector (MCD), being adequate to environments characterized by Gaussian and non-Gaussian noise. The introduced approach is based on complex correntropy function and can be seen as a generalization of the maximum likelihood detector (MLD) concept. The MCD is evaluated on Gaussian and non-Gaussian channels, where superior performance is achieved when compared with the classic detectors, without significant increase of the computational complexity.

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Simulation and Measurement of a New Circularly Polarized Patch Antenna for WiMAX Applications

Hajlaoui

2019

Smart Innovation, Systems and Technologies

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Nonlinear complex M-SVR for LTE MIMO-OFDM channel with impulsive noise

Cited by 5 publications

References 4 publications

Cooperative Closed-Loop Coded-MIMO Transmissions for Smart Grid Wireless Applications

Cooperative Closed-Loop Coded-MIMO Transmissions for Smart Grid Wireless Applications

A Novel Signal Detector in MIMO Systems Based on Complex Correntropy

Simulation and Measurement of a New Circularly Polarized Patch Antenna for WiMAX Applications

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