scholarly journals Channel Identification Based on Cumulants, Binary Measurements, and Kernels

Systems ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 46
Author(s):  
Hicham Oualla ◽  
Rachid Fateh ◽  
Anouar Darif ◽  
Said Safi ◽  
Mathieu Pouliquen ◽  
...  
Keyword(s):  
Access Network ◽  
Reproducing Kernels ◽  
Blind Identification ◽  
Data Input ◽  
Output Measurement ◽  
Channel Identification ◽  
Advantages And Disadvantages ◽  
Radio Access ◽  
Broadband Radio ◽  
Channel Parameters

In this paper, we discuss the problem of channel identification by using eight algorithms. The first three algorithms are based on higher-order cumulants, the next three algorithms are based on binary output measurement, and the last two algorithms are based on reproducing kernels. The principal objective of this paper is to study the performance of the presented algorithms in different situations, such as with different sizes of the data input or different signal-to-noise ratios. The presented algorithms are applied to the estimation of the channel parameters of the broadband radio access network (BRAN). The simulation results confirm that the presented algorithms are able to estimate the channel parameters with different accuracies, and each algorithm has its advantages and disadvantages for a given situation, such as for a given SNR and data input. Finally, this study provides an idea of which algorithms can be selected in a given situation. The study presented in this paper demonstrates that the cumulant-based algorithms are more adequate if the data inputs are not available (blind identification), but the kernel- and binary-measurement-based methods are more adequate if the noise is not important (SNR≥16 dB).

Channel Identification and Equalization based on Kernel Methods for Downlink Multicarrier-CDMA Systems

2015 ◽  
Vol 13 (2) ◽  
pp. 14-29
Author(s):  
Mohammed Boutalline ◽  
Belaid Bouikhalene ◽  
Said Safi
Keyword(s):  
Fading Channels ◽  
Minimum Mean Square Error ◽  
Access Network ◽  
Positive Definite Kernels ◽  
Zero Forcing ◽  
Channel Identification ◽  
Radio Access ◽  
Broadband Radio ◽  
Channel Parameters ◽  
Code Division Multiple

In this paper the authors are focused on channel identification and equalization for Multi-Carrier Code Division Multiple Access (MC-CDMA) system. For this, they identify the impulse response of two practical selective frequency fading channels called Broadband Radio Access Network (BRAN A and BRAN B) normalized by the European Telecommunications Standards Institute (ETSI). To identify the channel parameters, they have the positive definite kernels to build on algorithm. The simulations show that the presented method confirms the good performance for different SNR values. In part of equalization, the authors use the Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) equalizers.

BRAIN?an architecture for a broadband radio access network of the next generation

2001 ◽  
Vol 1 (1) ◽  
pp. 55-75 ◽  
Author(s):  
Josef Urban ◽  
Dave Wisely ◽  
Edgar Bolinth ◽  
Georg Neureiter ◽  
Mika Liljeberg ◽  
...  
Keyword(s):  
Access Network ◽  
Next Generation ◽  
Radio Access Network ◽  
Radio Access ◽  
Broadband Radio

scholarly journals Channel Identification of Non-linear Systems with Binary-Valued Output Observations Based on Positive Definite Kernels

2021 ◽  
Vol 297 ◽  
pp. 01020
Author(s):  
Rachid Fateh ◽  
Anouar Darif ◽  
Said Safi
Keyword(s):  
Reproducing Kernel ◽  
Finite Impulse Response ◽  
Computational Cost ◽  
Access Network ◽  
Recursive Identification ◽  
Positive Definite Kernels ◽  
Radio Access ◽  
Broadband Radio ◽  
Kernel Hilbert Spaces ◽  
New Space

Nowadays, the kernel methods are increasingly developed, they are a significant source of advances, not only in terms of computational cost but also in terms of the obtained efficiencies in solving complex tasks, they are founded on the theory of reproducing kernel Hilbert spaces (RKHS). In this paper, we propose an algorithm for recursive identification of finite impulse response (FIR) nonlinear systems, whose outputs are detected by binary value sensors. This algorithm is based on a nonlinear transformation of the data using a kernel function. This transformation performs a basic change that allows the data to be projected into a new space where the relationships between the variables are linear. To test the accuracy of the proposed algorithm, we have compared it with another algorithm proposed in the literature, for that, we employ the practical frequency selective fading channel, called Broadband Radio Access Network (BRAN). Monte Carlo simulation results, in noisy environment and for various data length, demonstrate that the proposed algorithm can give better precision.

scholarly journals Using Least Mean p-Power Algorithm to Correct Channel Distortion in MC-CDMA Systems

2018 ◽  
Vol 3 ◽  
pp. 23-30
Author(s):  
Mohammed Zidane ◽  
Said Safi ◽  
Mohamed Sabri ◽  
Miloud Frikel
Keyword(s):  
Mobile Communications ◽  
Channel Model ◽  
Access Network ◽  
Adaptive Equalization ◽  
Radio Access ◽  
Broadband Radio ◽  
Channel Distortion ◽  
Cdma Systems ◽  
The One ◽  
Code Division Multiple

This work focuses on adaptive Broadband Radio Access Network (BRAN) channel identification and on downlink Multi-Carrier Code Division Multiple Access (MCCDMA) equalization. We use the normalized BRAN C channel model for 4G mobile communications, distinguishing between indoor and outdoor scenarios. On the one hand, BRAN C channel parameters are identified using the Least Mean p-Power (LMP) algorithm. On the other, we consider these coefficients in the context of adaptive equalization. We provide an overview and a mathematic formulation of MC-CDMA systems. According to these fundamental concepts, the equalizer technique is investigated analytically to compensate for channel distortion in terms of the bit error rate (BER). The numerical simulation results, for various signal-to-noise ratios and different p threshold, show that the presented algorithm is able to simulate the BRAN C channel measured with different accuracy levels. Furthermore, as far as the adaptive equalization problem is concerned, the results obtained using the zero-forcing equalizer demonstrate that the algorithm is adequate for some particular cases of threshold p.

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