IRS-Assisted Millimeter-wave Massive MIMO with Transmit Antenna Selection for IoT Networks
Taissir Y. Elganimi, Khaled M. Rabie, Galymzhan Nauryzbayev

TL;DR
This paper proposes an IRS-assisted mmWave massive MIMO system with transmit antenna selection and OSTBC to enhance IoT network performance, demonstrating significant BER improvements through simulation results.
Contribution
It introduces a novel IRS-assisted mmWave MIMO system combining TAS, OSTBC, and hybrid beamforming, showing superior performance over conventional methods.
Findings
TAS-OSTBC with zero-forcing precoding outperforms conventional TAS with OSTBC.
Increasing antenna and reflecting elements improves BER performance.
IRS significantly enhances system performance compared to non-IRS systems.
Abstract
An intelligent reflecting surface (IRS)-assisted millimeter-wave (mmWave) massive multiple input multiple output (MIMO) system with transmit antenna selection (TAS) using orthogonal space-time block codes (OSTBC) scheme is proposed in this paper. This system combines TAS and IRS with hybrid analog-digital beamforming (HBF) for 60 GHz mmWave communications in order to exploit the benefits of TAS, OSTBC, analog beamforming (ABF), and transmit digital precoding techniques. The proposed system, however, benefits from the transmit diversity gain of OSTBC scheme as well as from the signal-to-noise ratio (SNR) gains of both the beamformer and the IRS technology. The simulation results demonstrate that TAS-OSTBC system with zero-forcing precoding technique outperforms the conventional TAS system with OSTBC scheme. Furthermore, the bit error rate (BER) performance significantly im-proves as the…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Antenna Design and Analysis · Advanced Antenna and Metasurface Technologies
