Application of wavelet packet in the MIMO-COFDM systems.

Sadouki, Bouamama Réda; Djebbouri, Mouhamed

doi:10.9790/2834-09256067

Cited by 1 publication

(2 citation statements)

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“…COFDM symbols generated represent orthogonal sub-carrier frequencies, enabling simultaneous transmission of information symbols from different sub-carriers through the transmission channel, which can be flat fading or frequency-selective fading. During this journey, the signals encounter Additive White Gaussian Noise (AWGN) and undergo processing using an n-point IDWPT (Inverse Discrete Wavelet Packet Transform) algorithm [22]. Notably, before this transformation, symbols are multiplied by distinct beamforming coefficients in the time domain, a crucial aspect of the adaptive beamforming scheme.…”

Section: Proposed System Modelmentioning

confidence: 99%

“…An alternative approach utilizes the Inverse Discrete Wavelet Packet Transform (IDWPT) and DWPT algorithms, employing Wavelet Packets (WPs) as subcarriers instead of IFFT/FFT, overcoming issues like high Peak-to-Average Power Ratio (PAPR) and bandwidth wastage [18][19][20], with added improvements possible through antenna diversity techniques [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Combining Beamforming and ZF/MMSE-SIC Equalization Techniques for MIMO DWPT-COFDM Systems

Reda,

Fayssal,

Mohammed

2023

Acta Universitatis Sapientiae, Electrical and Mechanical Engineering

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This study explores the enhancement of wireless communication through the integration of OFDM with MIMO and advanced techniques like COFDM, adaptive MIMO, and beamforming. It evaluates a 2×2 and 4×4 MIMO-DWPT-COFDM system, considering modulation (BPSK and QPSK) and equalization (ZF-SIC and MMSE-SIC) over a Rayleigh fading channel. MATLAB results reveal that more antennas, BPSK modulation, and MMSE-SIC equalization significantly improve BER performance. Specifically, for a BER of 10−4, the 2×2 MIMO system requires E b / N 0 values of 10.4 (MMSE-SIC) and 11.4 (ZF-SIC), while the 4×4 MIMO system needs 5.5 (MMSE-SIC) and 5.9 (ZF-SIC). These findings emphasize the need for thoughtful system design and parameter optimization in achieving reliable and efficient wireless communication.

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Section: Proposed System Modelmentioning

confidence: 99%