On the Application of Massive MIMO Systems to Machine Type Communications

Figueiredo, Felipe Augusto Pereira de; Cardoso, Fabbryccio A. C. M.; Moerman, Ingrid; Fraidenraichz, Gustavo

doi:10.20944/preprints201812.0100.v1

Cited by 4 publications

(4 citation statements)

References 42 publications

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“…By taking advantage of these two features, mMIMO is able to spatially separate signals that are simultaneously transmitted by a large number of URLLC devices over the same channel resource in GF random access, which makes it a prominent enabler for massive access [31]. Furthermore, simple linear processing such as conjugate beamforming and zero-forcing (ZF) beamforning can achieve near-optimal performance with favorable propagation [83]. In this subsection, we present a number of potential enhancements to GF URLLC by mMIMO.…”

Section: B Enhancements To Gf Urllcmentioning

confidence: 99%

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Enabling Grant-Free URLLC: An Overview of Principle and Enhancements by Massive MIMO

Ding¹,

Pokhrel²,

Park³

et al. 2021

Preprint

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<div>Enabling ultra-reliable low-latency communication (URLLC) with stringent requirements for transmitting data packets (e.g., 99.999% reliability and 1 millisecond latency) presents considerable challenges in uplink transmissions. For each packet transmission over dynamically allocated network radio resources, the conventional random access protocols are based on a request- rant scheme. This induces excessive latency and necessitates reliable control signalling, resulting overhead. To address these problems, grant-free (GF) solutions are proposed in the fifth-generation (5G) new radio (NR). In this paper, an overview and vision of the state-of-the-art in enabling GF URLLC are presented. In particular, we first provide a comprehensive review of NR specifications and techniques for URLLC, discuss underlying principles, and highlight impeding issues of enabling GF URLLC. Furthermore, we explain two key phenomena of massive multiple-input multiple-output (mMIMO) (i.e., channel hardening and favorable propagation) and build several deep insights into how celebrated mMIMO features can be exploited to enhance the performance of GF URLLC. Moving further ahead, we examine the potential of cell-free (CF) mMIMO and analyze its distinctive features and benefits over mMIMO to resolve GF URLLC issues. Finally, we identify future research directions and challenges in enabling GF URLLC with CF mMIMO.</div>

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Section: B Enhancements To Gf Urllcmentioning

confidence: 99%

“…These exemplary results confirm the advantage and potential of mMIMO to support GF URLLC in the case of high access loads. It is noted that more devices can be supported and the reliability can be further improved when ZF or minimum mean-square-error (MMSE) beamforming [88] is used in mMIMO [30], [83].…”

Section: B Enhancements To Gf Urllcmentioning

confidence: 99%

Enabling Grant-Free URLLC: An Overview of Principle and Enhancements by Massive MIMO

Ding¹,

Pokhrel²,

Park³

et al. 2021

Preprint

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show abstract

“…The Remark 15 shows that as N grows without bound, the transmit power can be reduced proportionally to 1/N 2 . The transmit power reduction is significant mainly to powerconstrained devices such as the Internet of Things (IoT) devices [59,60].…”

Section: G Power-scaling Lawmentioning

confidence: 99%

Large Intelligent Surfaces With Discrete Set of Phase-Shifts Communicating Through Double-Rayleigh Fading Channels

et al. 2021

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Despite many studies already published on large intelligent surfaces (LIS), there are still some gaps in mathematical models in the face of possible scenarios. In this work, we evaluate the performance of a single-input single-output (SISO) system in which an LIS acts as a controllable scatterer. We consider that the direct link between the transmitting and receiving devices is non-existent due to a blockage. Quantization phase errors at the LIS are considered since a high precision configuration of the reflection phases is not always feasible. We derive exact closed-form expressions for the spectral efficiencies, outage probabilities, and average symbol error rate (SER) of different modulations schemes. We assume a more comprehensive scenario in which b bits are dedicated to the phase adjustment of the LIS' elements. Based on Monte Carlo simulations, we prove the excellent accuracy of our approach and investigate the behavior of the power scaling law and the power required to reach a specific capacity, depending on the number of reflecting elements. We show that an LIS with approximately fifty elements and four dedicated bits for phase quantization outperforms the conventional system without LIS.INDEX TERMS Large Intelligent Surface, outage probability, quantization phase errors, spectral efficiency, symbol error rate.

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“…As a result, filtered alerts have been widely seen as long overdue in order to certify the waveform of 5G structures. This is owing to the ability to provide asynchronous transmission using filtered waveforms, which decreases OOB emission, recommends filter-based waveforms, and outperforms OFDM [34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

F-OFDM in a novel form for analyzing 5G networks

Amertet

2022

J. Info. Tech. Comp.

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The need for internet of things (IoT) and machine-to-machine communication (MTC) has been growing rapidly all across the world. To meet the client's needs, many literature reviews were undertaken in several countries. Orthogonal frequency division multiplexing (OFDM), Universal Filtered Multi-Carrier (UFMC), filter-bank multicarrier offset construction amplitude modulation (FBMC-OQAM), generalized frequency division multiplexing (GFDM), and others are candidates for LTE, LTE advance, and 5G, according to the majority of the researchers. However, because it is sensitive to propagation and noise, such as amplitude, with a huge dynamic range, it requires RF power amplifiers with a high peak to average power quantitative relationship; consequently, it is not recommended for LTE, LTE advance, or 5G. As a result, the same concerns were addressed by introducing innovative type filtered orthogonal frequency division multiplexing (F- OFDM), which was the subject of this study. In addition, F-OFDM mathematical models were constructed and simulated in the MATLAB software environment. To validate the proposed innovative F-OFDM, OFDM was compared. For innovative F-OFDM, the simulated result was 0.00083333 bit error rate (BER). Furthermore, the bit error rate (BER) of F-OFDM over OFDM was 89.4 percent, and the peak to average power ratio was 17 percent. The simulation results unmistakably show that the suggested innovative F-OFDM is the greatest fit for LTE, LTE advanced, and 5G contenders.

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On the Application of Massive MIMO Systems to Machine Type Communications

Cited by 4 publications

References 42 publications

Enabling Grant-Free URLLC: An Overview of Principle and Enhancements by Massive MIMO

Enabling Grant-Free URLLC: An Overview of Principle and Enhancements by Massive MIMO

Large Intelligent Surfaces With Discrete Set of Phase-Shifts Communicating Through Double-Rayleigh Fading Channels

F-OFDM in a novel form for analyzing 5G networks

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