Hybrid Beamforming and Combining for Millimeter Wave Full Duplex Massive MIMO Interference Channel

Sheemar, Chandan Kumar; Slock, Dirk

doi:10.1109/globecom46510.2021.9685302

Cited by 10 publications

(1 citation statement)

References 12 publications

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“…By leveraging the intelligent capabilities of IRS and the simultaneous transmission and reception capabilities of FD, IRS-FD systems are poised to revolutionize wireless communication networks. This innovative approach has garnered significant attention from researchers and experts in the field, with studies highlighting the transformative potential of IRS-FD in addressing the evolving requirements of modern wireless communication systems [26].…”

Section: A State-of-the-art On Irs Assisted Fd Systemsmentioning

confidence: 99%

IRS Assisted MIMO Full Duplex: Rate Analysis and Beamforming Under Imperfect CSI

Sheemar,

Solanki,

Querol

et al. 2023

IEEE Open J. Commun. Soc.

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Intelligent reflecting surfaces (IRS) have emerged as a promising technology to enhance the performance of wireless communication systems. By actively manipulating the wireless propagation environment, IRS enables efficient signal transmission and reception. In recent years, the integration of IRS with full-duplex (FD) communication has garnered significant attention due to its potential to further improve spectral and energy efficiencies. IRS-assisted FD systems combine the benefits of both IRS and FD technologies, providing a powerful solution for the next generation of cellular systems. In this manuscript, we present a novel approach to jointly optimize active and passive beamforming in a multiple-input-multiple-output (MIMO) FD system assisted by an IRS for weighted sum rate (WSR) maximization. Given the inherent difficulty in obtaining perfect channel state information (CSI) in practical scenarios, we consider imperfect CSI and propose a statistically robust beamforming strategy to maximize the ergodic WSR. Additionally, we analyze the achievable WSR for an IRS-assisted MIMO FD system under imperfect CSI by deriving both the lower and upper bounds. To tackle the problem of ergodic WSR maximization, we employ the concept of expected weighted minimum mean squared error (EWMMSE), which exploits the information of the expected error covariance matrices and ensures convergence to a local optimum. We evaluate the effectiveness of our proposed design through extensive simulations. The results demonstrate that our robust approach yields significant performance improvements compared to the simplistic beamforming approach that disregards CSI errors, while also outperforming the robust half-duplex (HD) system considerably.

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Section: A State-of-the-art On Irs Assisted Fd Systemsmentioning

confidence: 99%

IRS Assisted MIMO Full Duplex: Rate Analysis and Beamforming Under Imperfect CSI

Sheemar,

Solanki,

Querol

et al. 2023

IEEE Open J. Commun. Soc.

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Robust Beamforming for IRS Aided MIMO Full Duplex Systems

Sheemar,

Querol,

Solanki

et al. 2023

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

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Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex With Limited Dynamic Range

Sheemar

Thomas²,

Slock

2022

IEEE Open J. Commun. Soc.

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Full Duplex (FD) radio has emerged as a promising solution to increase the data rates by up to a factor of two via simultaneous transmission and reception in the same frequency band. This paper studies a novel hybrid beamforming (HYBF) design to maximize the weighted sum-rate (WSR) in a single-cell millimeter wave (mmWave) massive multiple-input-multiple-output (mMIMO) FD system. Motivated by practical considerations, we assume that the multi-antenna users and hybrid FD base station (BS) suffer from the limited dynamic range (LDR) noise due to non-ideal hardware and an impairment aware HYBF approach is adopted by integrating the traditional LDR noise model in the mmWave band. In contrast to the conventional HYBF schemes, our design also considers the joint sum-power and the practical per-antenna power constraints. A novel interference, self-interference (SI) and LDR noise aware optimal power allocation scheme for the uplink (UL) users and FD BS is also presented to satisfy the joint constraints. The maximum achievable gain of a multi-user mmWave FD system over a fully digital half duplex (HD) system with different LDR noise levels and numbers of the radio-frequency (RF) chains is investigated. Simulation results show that our design outperforms the HD system with only a few RF chains at any LDR noise level. The advantage of having amplitude control at the analog stage is also examined, and additional gain for the mmWave FD system becomes evident when the number of RF chains at the hybrid FD BS is small.

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Hybrid Beamforming and Combining for Millimeter Wave Full Duplex Massive MIMO Interference Channel

Cited by 10 publications

References 12 publications

IRS Assisted MIMO Full Duplex: Rate Analysis and Beamforming Under Imperfect CSI

IRS Assisted MIMO Full Duplex: Rate Analysis and Beamforming Under Imperfect CSI

Robust Beamforming for IRS Aided MIMO Full Duplex Systems

Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex With Limited Dynamic Range

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