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September 10, 2025Al-Nahrain Journal for Engineering SciencesOpen Access

Channel Estimation for Mixed-Analog to Digital Converters Architecture in Massive MIMO Architecture Using Approximate Conjugate Gradient Pursuit Algorithm

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Authors

YOYaseen A. Mohammed ObaidiNahrain University AMAnas Lateef MahmoodNahrain University

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Implication

Novel algorithm improves channel estimation accuracy in mixed-ADCs within mmWave massive MIMO, suggesting effective solutions for wireless transmission.

Key Points

The approximate conjugate gradient pursuit algorithm significantly reduces minimum mean squared error in channel estimation.
Under low signal-to-noise ratio conditions, mixed-ADCs architecture enhances performance by about 30% to 50% compared to low-resolution systems.
Matlab simulations demonstrated that ACGP maintains stable performance, even with varying numbers of observation frames and ADC resolutions.
This algorithm offers robust signal reconstruction, making it useful for systems requiring precise channel estimation in noisy environments.

Cite This Study

Obaidi et al. (2025) studied this question.

synapsesocial.com/papers/68c1abf954b1d3bfb60e436a https://doi.org/10.29194/njes.28020296

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Implication

Novel algorithm improves channel estimation accuracy in mixed-ADCs within mmWave massive MIMO, suggesting effective solutions for wireless transmission.

Channel Estimation for Mixed-Analog to Digital Converters Architecture in Massive MIMO Architecture Using Approximate Conjugate Gradient Pursuit Algorithm

Discussion

Member takes

Implication

Key Points

Cite This Study

Channel Estimation for Mixed-Analog to Digital Converters Architecture in Massive MIMO Architecture Using Approximate Conjugate Gradient Pursuit Algorithm

Discussion

Member takes

Implication

Key Points

Cite This Study

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