A Low-Complexity Equalizer for Video Broadcasting in Cyber-Physical Social Systems Through Handheld Mobile Devices

In Digital Video Broadcasting-Handheld (DVB-H) devices for cyber-physical social systems, the Discrete Fractional Fourier Transform-Orthogonal Chirp Division Multiplexing (DFrFT-OCDM) has been suggested to enhance the performance over Orthogonal Frequency Division Multiplexing (OFDM) systems under t...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.67591-67602
Main Authors: Solyman, Ahmad A. A., Attar, Hani, Khosravi, Mohammad R., Menon, Varun G., Jolfaei, Alireza, Balasubramanian, Venki, Selvaraj, Buvana, Tavallali, Pooya
Format: Article
Language:English
Subjects:
Algorithms
Channels
Complexity
Digital Video Broadcasting
digital video broadcasting-handheld (DVB-H)
Discrete Fourier transforms
Electronic devices
Equalizers
Fourier transforms
Least-squares minimal residual (LSMR)
Mathematical analysis
Matrix methods
OFDM
Orthogonal Frequency Division Multiplexing
orthogonal frequency division multiplexing (OFDM)
Selective fading
Time-frequency analysis
zero-forcing (ZF) and cyber-physical social systems
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Summary:In Digital Video Broadcasting-Handheld (DVB-H) devices for cyber-physical social systems, the Discrete Fractional Fourier Transform-Orthogonal Chirp Division Multiplexing (DFrFT-OCDM) has been suggested to enhance the performance over Orthogonal Frequency Division Multiplexing (OFDM) systems under time and frequency-selective fading channels. In this case, the need for equalizers like the Minimum Mean Square Error (MMSE) and Zero-Forcing (ZF) arises, though it is excessively complex due to the need for a matrix inversion, especially for DVB-H extensive symbol lengths. In this work, a low complexity equalizer, Least-Squares Minimal Residual (LSMR) algorithm, is used to solve the matrix inversion iteratively. The paper proposes the LSMR algorithm for linear and nonlinear equalizers with the simulation results, which indicate that the proposed equalizer has significant performance and reduced complexity over the classical MMSE equalizer and other low complexity equalizers, in time and frequency-selective fading channels.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2982001