Cooperative NOMA-based D2D communications: A survey in the 5G/IoT context

Elouafadi, Rajaa; Benjillali, Mustapha

doi:10.1109/melcon.2018.8379081

Cited by 21 publications

(11 citation statements)

References 14 publications

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“…Since PF has three segments, we have different values for SNR based on the signal that is transmitted by ST in (8) and (9). The value of threshold has an important role on the SNR, and it depends on the quality of the channel between PT and ST.…”

Section: Deriving Snr At the Receivers For Pf-nomamentioning

confidence: 99%

“…Cooperative communication, or cooperative relaying, exploits the interaction among the network devices in proximity to boost reliability, coverage, and energy efficiency [ 6 , 7 ]. Cooperative relaying schemes provide a spatial diversity, especially when the direct links suffer from the wireless channels’ adverse effects (i.e., path losses, fading, shadowing) or have transmit-power constraints [ 8 , 9 ]. Meanwhile, NOMA has received significant attention for meeting spectrum efficiency, massive connectivity, and low latency demands [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

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Multiple Access-Enabled Relaying with Piece-Wise and Forward NOMA: Rate Optimization under Reliability Constraints

Khodakhah

Mahmood

Österberg

et al. 2021

Sensors

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The increasing proliferation of Internet-of-things (IoT) networks in a given space requires exploring various communication solutions (e.g., cooperative relaying, non-orthogonal multiple access, spectrum sharing) jointly to increase the performance of coexisting IoT systems. However, the design complexity of such a system increases, especially under the constraints of performance targets. In this respect, this paper studies multiple-access enabled relaying by a lower-priority secondary system, which cooperatively relays the incoming information to the primary users and simultaneously transmits its own data. We consider that the direct link between the primary transmitter–receiver pair uses orthogonal multiple access in the first phase. In the second phase, a secondary transmitter adopts a relaying strategy to support the direct link while it uses non-orthogonal multiple access (NOMA) to serve the secondary receiver. As a relaying scheme, we propose a piece-wise and forward (PF) relay protocol, which, depending on the absolute value of the received primary signal, acts similar to decode-and-forward (DF) and amplify-and-forward (AF) schemes in high and low signal-to-noise ratio (SNR), respectively. By doing so, PF achieves the best of these two relaying protocols using the adaptive threshold according to the transmitter-relay channel condition. Under PF-NOMA, first, we find the achievable rate region for primary and secondary receivers, and then we formulate an optimization problem to derive the optimal PF-NOMA time and power fraction that maximize the secondary rate subject to reliability constraints on both the primary and the secondary links. Our simulation results and analysis show that the PF-NOMA outperforms DF-NOMA and AF-NOMA-based relaying techniques in terms of achievable rate regions and rate-guaranteed relay locations.

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Section: Deriving Snr At the Receivers For Pf-nomamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiple Access-Enabled Relaying with Piece-Wise and Forward NOMA: Rate Optimization under Reliability Constraints

Khodakhah

Mahmood

Österberg

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Device-to-device (D2D) communication, which allows direct local communication between devices, can be a powerful means to meet the requirements of mMTC services without a heavy signaling overhead, as noted in [6]. Furthermore, combined with node cooperation, D2D can achieve better reliability and spectral efficiency [7,8]. Especially, with a large-scale deployment of IoT nodes, the node cooperation becomes more beneficial to improve data rate [9] and information security [10].…”

Section: Introductionmentioning

confidence: 99%

Opportunistic Large Array Propagation Models: A Comprehensive Survey

Nawaz

Kumar

Hassan

et al. 2021

Sensors

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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.

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“…The first category provides review of prior arts on NOMA from the perspective of different NOMA classifications such as power and code domain NOMA. The second category of survey papers review those works on NOMA which investigate the integration of NOMA with different communication technologies such as multiple-input multiple-output (MIMO), cooperative communication, millimeter waves, full duplex (FD), and so on [12,14,[25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43]. However, to the best of our knowledge, there is no current survey which attempts to review state-of-the-art on NOMA according to its application in cellular networks (CNs), device-to-device (D2D) communication, and wireless sensor networks (WSNs).…”

Section: Introductionmentioning

confidence: 99%

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

et al. 2019

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The fifth generation (5G) wireless systems are anticipated to meet unprecedented capacity and latency requirements. In order to resolve these challenges in 5G, non-orthogonal multiple access (NOMA) is considered as a promising technique due to its ability to enhance spectrum efficiency and user access. As opposed to conventional orthogonal multiple access (OMA) which relies on orthogonal resource sharing, NOMA has a potential of supporting a higher number of users by multiplexing different users in the same resource in a non-orthogonal manner. With advanced receiver techniques, such as successive interference cancellation (SIC), the intra-user interference can be minimized at the NOMA receiver. To date, there are comprehensive surveys on NOMA, which describe the integration of NOMA with different communication technologies and discuss different NOMA classifications. However, the existing literature is scarce in reviewing state-of-the-art applications of NOMA from the perspective of its application to cellular networks (CNs), device-to-device (D2D) communications, and wireless sensor networks (WSNs). Therefore, the purpose of this survey is to fill this gap in knowledge. Specifically, NOMA with its underlying concepts are elaborated in detail. In addition, detailed system model of different NOMA-based wireless networks is presented. Furthermore, irrespective of the underlying spatial topology of the considered NOMA-based wireless network, general analytical expressions are presented to characterize the network performance. Finally, some challenges related to NOMA design are highlighted and potential research directions are pointed out to address these issues.

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Cooperative NOMA-based D2D communications: A survey in the 5G/IoT context

Cited by 21 publications

References 14 publications

Multiple Access-Enabled Relaying with Piece-Wise and Forward NOMA: Rate Optimization under Reliability Constraints

Multiple Access-Enabled Relaying with Piece-Wise and Forward NOMA: Rate Optimization under Reliability Constraints

Opportunistic Large Array Propagation Models: A Comprehensive Survey

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

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