Spatial modulation for massive MIMO

Haas, Harald

doi:10.1109/icc.2015.7248610

Cited by 19 publications

(5 citation statements)

References 21 publications

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“…By enabling the selection of various combinations of antennas at the same time, a generalized index modulation scheme can be defined [196], [197]. Typical massive MIMO SM and generalized SM solutions [198], [199] should be revisited in the ultra-massive THz context. Furthermore, when enabling adaptive antenna-frequency maps, generic index modulation (IM) solutions that take full advantage of the available resources can be configured, in which information bits are also mapped to frequency allocations.…”

Section: B Index Modulation and Blind Parameter Estimationmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Terahertz Communications

2021

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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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Section: B Index Modulation and Blind Parameter Estimationmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Terahertz Communications

2021

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“…• Capacity and link reliability: Massive MIMO increases the diversity gain, and hence, provides link robustness as it resists fading [21]. It is approved that the capacity increases without a bound as the number of antenna increases, even under a pilot contamination, when multicell minimum mean square error (MMSE) precoding/ combining and spatial channel correlation are used [22].…”

Section: B Why Massive Mimo?mentioning

confidence: 99%

Massive MIMO Detection Techniques: A Survey

Albreem

Juntti

Shahabuddin

2019

IEEE Commun. Surv. Tutorials

346

229

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“…where S is the number of AEs that can be simultaneously activated. The literature is rich in SM and GSM solutions for massive MIMO [81], [82]. However, even more efficient lowcomplexity algorithms are required at such large scales.…”

Section: Generalized Spatial and Index Modulationmentioning

confidence: 99%

Terahertz-Band Ultra-Massive Spatial Modulation MIMO

Sarieddeen¹,

Alouini²,

Al-Naffouri³

2019

Preprint

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The prospect of ultra-massive multiple-input multiple-output (UM-MIMO) technology to combat the distance problem at the Terahertz (THz) band is considered. It is wellknown that the very large available bandwidths at THz frequencies come at the cost of severe propagation losses and power limitations, which result in very short communication distances. Recently, graphene-based plasmonic nano-antenna arrays that can accommodate hundreds of antenna elements in a few millimeters have been proposed. While such arrays enable efficient beamforming that can increase the communication range, they fail to provide sufficient spatial degrees of freedom for spatial multiplexing. In this paper, we examine spatial modulation (SM) techniques that can leverage the properties of densely packed configurable arrays of subarrays of nano-antennas, to increase capacity and spectral efficiency, while maintaining acceptable beamforming performance. Depending on the communication distance and the frequency of operation, a specific SM configuration that ensures good channel conditions is recommended. We analyze the performance of the proposed schemes theoretically and numerically in terms of symbol and bit error rates, where significant gains are observed compared to conventional SM. We demonstrate that SM at very high frequencies is a feasible paradigm, and we motivate several extensions that can make THz-band SM a future research trend.

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Spatial modulation for massive MIMO

Cited by 19 publications

References 21 publications

An Overview of Signal Processing Techniques for Terahertz Communications

An Overview of Signal Processing Techniques for Terahertz Communications

Massive MIMO Detection Techniques: A Survey

Terahertz-Band Ultra-Massive Spatial Modulation MIMO

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