Channel Estimation Using RIDNet Assisted OMP for Hybrid-field THz Massive MIMO Systems
Hasan Nayir, Erhan Karakoca, Ali G\"or\c{c}in, Khalid Qaraqe

TL;DR
This paper introduces a novel channel estimation technique combining RIDNet and OMP for hybrid-field THz mMIMO systems, effectively improving accuracy over traditional methods especially in low SNR conditions.
Contribution
The paper presents a new RIDNet-assisted OMP method for channel estimation in hybrid-field THz mMIMO, addressing near-field and far-field components simultaneously.
Findings
RIDNet-based method achieves lower estimation errors than conventional OMP.
Performance gap widens at low SNR regimes.
RIDNet method reduces required RF chains and pilot symbols for the same error performance.
Abstract
The terahertz (THz) band radio access with larger available bandwidth is anticipated to provide higher capacities for next-generation wireless communication systems. However, higher path loss at THz frequencies significantly limits the wireless communication range. Massive multiple-input multiple-output (mMIMO) is an attractive technology to increase the Rayleigh distance by generating higher gain beams using low wavelength and highly directive antenna array aperture. In addition, both far-field and near-field components of the antenna system should be considered for modelling THz electromagnetic propagation, where the channel estimation for this environment becomes a challenging task. This paper proposes a novel channel estimation method using a recursive information distillation network (RIDNet) together with orthogonal matching pursuit (OMP) for hybrid-field THz mMIMO channels,…
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Taxonomy
TopicsMicrowave Engineering and Waveguides · Millimeter-Wave Propagation and Modeling · Antenna Design and Analysis
