Performance Evaluation of Nonlinear Precoding Based on 44 GHz Band Experiments for 5G Ultra High Capacity Massive MIMO

Nakagawa, Kenji; Uchida, Shigeru; Taira, Akinori; Nishimoto, Hiroshi; Iura, Hiroki; Okazaki, Akinori; Okamura, Atsushi

doi:10.1109/vtcspring.2017.8108657

Cited by 5 publications

(6 citation statements)

References 16 publications

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“…Digital baseband beamforming defines the utilization of SAs, routing data streams via RF chains. In highly correlated P2P THz links, efficient nonlinear techniques such as block multi-diagonalization [56], or THz-specific FS hybrid beamforming [57] are required. Hence, s[𝑘] is first precoded using W BB [𝑘] ∈ C 𝑄 (t) ×𝑁 S , followed by analog RF beamforming using…”

Section: B Equivalent Baseband System Modelmentioning

confidence: 99%

TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications

Tarboush

Sarieddeen

Chen

et al. 2021

IEEE Trans. Veh. Technol.

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Following recent advances in terahertz (THz) technology, there is a consensus on the crucial role of THz communications in the next generation of wireless systems. Aiming at catalyzing THz communications research, we propose TeraMIMO, an accurate stochastic MATLAB simulator of statistical THz channels. We simulate ultra-massive multiple-input multipleoutput antenna configurations as critical infrastructure enablers that overcome the limitation in THz communications distances. We consider both line-of-sight and multipath components and propose frequency-and delay-domain implementations for singleand multi-carrier paradigms in both time-invariant and timevariant scenarios. We implement exhaustive molecular absorption computations based on radiative transfer theory alongside alternative sub-THz approximations. We further model THz-specific constraints, including wideband beam split effects, spherical wave propagation, and misalignment fading. We verify TeraMIMO by analogy with measurement-based channel models in the literature and ergodic capacity analysis. We introduce a graphical user interface and a guide for using TeraMIMO in THz channel generation and analyses.

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Section: B Equivalent Baseband System Modelmentioning

confidence: 99%

TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications

Tarboush

Sarieddeen

Chen

et al. 2021

IEEE Trans. Veh. Technol.

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show abstract

“…Digital baseband beamforming defines the utilization of SAs, routing data streams via RF chains. In highly correlated P2P THz links, efficient nonlinear techniques such as block multi-diagonalization [44], or THz-specific FS hybrid beamforming [45] are required. Hence, s[𝑘] is first precoded using W BB [𝑘] ∈ C 𝑄 (t) ×𝑁 S , followed by analog RF beamforming using…”

Section: B Equivalent Baseband System Modelmentioning

confidence: 99%

“…where Ψ m, n (𝚽) and Ψ m, n (𝚽 0 ) are obtained from ( 41) and (44), respectively. Note that with MC schemes, the phase shifts are divided by 𝜆 𝑘 instead of 𝜆 𝑐 .…”

Section: Equivalent Array Response: Beamsteering and Beamformingmentioning

confidence: 99%

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TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications

Tarboush¹,

Sarieddeen²,

Chen³

et al. 2021

Preprint

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Following recent advances in terahertz (THz) technology, there is a consensus among multiple research initiatives on the essential role of THz communications in the sixth generation of wireless communication systems and beyond. Aiming at catalyzing THz communications research, we propose TeraMIMO, an accurate MATLAB simulator of statistical THz channels. We simulate ultra-massive multiple-input multipleoutput antenna configurations as critical infrastructure enablers that overcome the limitation in THz communications distances. We consider both line-of-sight and multipath components and propose frequency-and delay-domain implementations for singleand multi-carrier paradigms in both time-invariant and timevariant scenarios. We implement exhaustive molecular absorption computations based on radiative transfer theory alongside alternative sub-THz approximations. We further model THz-specific constraints, including wideband beam split effects, spherical wave propagation, and misalignment fading. We verify TeraMIMO by analogy with measurement-based channel models in the literature, and we introduce a graphical user interface.

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“…Simple zero-forcing precoding at the baseband should be sufficient in several THz scenarios. In highly correlated point-to-point THz links, however, betterperforming efficient nonlinear precoding techniques are required, such as block multi-diagonalization [210], [211]. The energy efficiency of the AoSA configuration is better than that of the fully-connected one [212].…”

Section: A Thz Hybrid Beamformingmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Terahertz Communications

Sarieddeen¹,

Alouini²,

Al-Naffouri³

2020

Preprint

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Terahertz (THz)-band communications are a key enabler for future-generation wireless communication systems that promise to integrate a wide range of data-demanding applications. Recent advancements in photonic, electronic, and plasmonic technologies are closing the gap in THz transceiver design. Consequently, prospect THz signal generation, modulation, and radiation methods are converging, and the corresponding channel model, noise, and hardware-impairment notions are emerging. Such progress paves the way for well-grounded research into THz-specific signal processing techniques for wireless communications. This tutorial overviews these techniques with an emphasis on ultra-massive multiple-input multiple-output (UM-MIMO) systems and reconfigurable intelligent surfaces, which are vital to overcoming the distance problem at very high frequencies. We focus on the classical problems of waveform design and modulation, beamforming and precoding, index modulation, channel estimation, channel coding, and data detection. We also motivate signal processing techniques for THz sensing and localization.

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Performance Evaluation of Nonlinear Precoding Based on 44 GHz Band Experiments for 5G Ultra High Capacity Massive MIMO

Cited by 5 publications

References 16 publications

TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications

TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications

TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications

An Overview of Signal Processing Techniques for Terahertz Communications

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