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Review

Opportunistic Large Array Propagation Models: A Comprehensive Survey

1
School of Electrical Engineering & Computer Science (SEECS), National University of Sciences & Technology (NUST), Islamabad 44000, Pakistan
2
Department of Information and Telecommunication Engineering, Incheon National University, Incheon 22012, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Sergio Herrería Alonso, Miguel Rodríguez Pérez and Rosario Giuseppe Garroppo
Sensors 2021, 21(12), 4206; https://doi.org/10.3390/s21124206
Received: 22 May 2021 / Revised: 16 June 2021 / Accepted: 17 June 2021 / Published: 19 June 2021
(This article belongs to the Special Issue Green Sensors Networking)
Enabled by the fifth-generation (5G) and beyond 5G communications, large-scale deployments of Internet-of-Things (IoT) networks are expected in various application fields to handle massive machine-type communication (mMTC) services. Device-to-device (D2D) communications can be an effective solution in massive IoT networks to overcome the inherent hardware limitations of small devices. In such D2D scenarios, given that a receiver can benefit from the signal-to-noise-ratio (SNR) advantage through diversity and array gains, cooperative transmission (CT) can be employed, so that multiple IoT nodes can create a virtual antenna array. In particular, Opportunistic Large Array (OLA), which is one type of CT technique, is known to provide fast, energy-efficient, and reliable broadcasting and unicasting without prior coordination, which can be exploited in future mMTC applications. However, OLA-based protocol design and operation are subject to network models to characterize the propagation behavior and evaluate the performance. Further, it has been shown through some experimental studies that the most widely-used model in prior studies on OLA is not accurate for networks with networks with low node density. Therefore, stochastic models using quasi-stationary Markov chain are introduced, which are more complex but more exact to estimate the key performance metrics of the OLA transmissions in practice. Considering the fact that such propagation models should be selected carefully depending on system parameters such as network topology and channel environments, we provide a comprehensive survey on the analytical models and framework of the OLA propagation in the literature, which is not available in the existing survey papers on OLA protocols. In addition, we introduce energy-efficient OLA techniques, which are of paramount importance in energy-limited IoT networks. Furthermore, we discuss future research directions to combine OLA with emerging technologies. View Full-Text
Keywords: 5G; B5G; massive machine-type communications (mMTC); massive Internet-of-Things (IoT); Opportunistic Large Array (OLA); cooperative transmission (CT); propagation modeling; node density 5G; B5G; massive machine-type communications (mMTC); massive Internet-of-Things (IoT); Opportunistic Large Array (OLA); cooperative transmission (CT); propagation modeling; node density
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MDPI and ACS Style

Nawaz, F.; Kumar, H.; Hassan, S.A.; Jung, H. Opportunistic Large Array Propagation Models: A Comprehensive Survey. Sensors 2021, 21, 4206. https://doi.org/10.3390/s21124206

AMA Style

Nawaz F, Kumar H, Hassan SA, Jung H. Opportunistic Large Array Propagation Models: A Comprehensive Survey. Sensors. 2021; 21(12):4206. https://doi.org/10.3390/s21124206

Chicago/Turabian Style

Nawaz, Farhan, Hemant Kumar, Syed A. Hassan, and Haejoon Jung. 2021. "Opportunistic Large Array Propagation Models: A Comprehensive Survey" Sensors 21, no. 12: 4206. https://doi.org/10.3390/s21124206

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