Cooperative HARQ-Assisted NOMA Scheme in Large-Scale D2D Networks

Shi, Zheng; Ma, Shaodan; ElSawy, Hesham; Yang, Guanghua; Alouini, Mohamed‐Slim

doi:10.1109/tcomm.2018.2825419

Cited by 52 publications

(46 citation statements)

References 60 publications

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“…Proof: The result in (i) follows from definition of the accuracy probability (5). The result in (ii) follows from (6).…”

Section: Probability Of Accuracy: Definition and Propertiesmentioning

confidence: 94%

“…Similar to the previous subsection, we first derive the inner expectation in (6). Then the accuracy probability A is obtained for PPP, MCP, and TCP models as shown in the following.…”

Section: Probability Of Accuracy For Nakagami-m Fadingmentioning

confidence: 99%

“…In [4], [5], it is assumed that the order statistics of instantaneous signal power are dominated by the distance; hence, in the analysis, users are ordered based on their distances instead of complete CSI. In [6], [7], distance-based ranking is used for the analysis of NOMA systems with HARQ. In [8], the authors study two-user cooperative NOMA and derive the outage probability assuming the near user to be the strong user and the far user to be the weak user.…”

Section: Introductionmentioning

confidence: 99%

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Accuracy of Distance-Based Ranking of Users in the Analysis of NOMA Systems

Salehi

Tabassum

Hossain

2019

IEEE Trans. Commun.

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We characterize the accuracy of analyzing the performance of a non-orthogonal multiple access (NOMA) system where users are ranked according to their distances instead of instantaneous channel gains, i.e., product of their distance-based path-loss and fading channel gains. Distance-based ranking of users is analytically tractable and can lead to important insights. However, it may not be appropriate in a multipath fading environment where a near user suffers from severe fading while a far user experiences weak fading. Since the ranking of users (and in turn interferers) in a NOMA system has a direct impact on coverage probability analysis, impact of the traditional distance-based ranking, as opposed to instantaneous signal power-based ranking, needs to be understood. This will enable us to identify scenarios where distance-based ranking, which is easier to implement compared to instantaneous signal power-based ranking, is acceptable for system performance analysis. To this end, in this paper, we derive the probability of the event when distance-based ranking yields the same results as instantaneous signal power-based ranking, which is referred to as the accuracy probability. We characterize the probability of accuracy considering Nakagami-m fading channels and three different spatial distribution models of user locations in NOMA, namely, Poisson Point Process (PPP), Matern Cluster Process (MCP), and Thomas Cluster Process (TCP). For all these models of users' locations, we assume that the spatial locations of the base stations (BSs) follow a homogeneous PPP. We show that the accuracy probability decreases with the increasing number of users and increases with the path-loss exponent. In addition, through examples, we illustrate the impact of accuracy probability on uplink and downlink coverage probability. Closed-form expressions are presented for Rayleigh fading environment. Effects of fading severity and users' pairing on the accuracy probability are also investigated.

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“…Proof: The result in (i) follows from definition of the accuracy probability (5). The result in (ii) follows from (6).…”

Section: Probability Of Accuracy: Definition and Propertiesmentioning

confidence: 94%

“…Similar to the previous subsection, we first derive the inner expectation in (6). Then the accuracy probability A is obtained for PPP, MCP, and TCP models as shown in the following.…”

Section: Probability Of Accuracy For Nakagami-m Fadingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Accuracy of Distance-Based Ranking of Users in the Analysis of NOMA Systems

Salehi

Tabassum

Hossain

2019

IEEE Trans. Commun.

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“…Note that, due to the presence of interferers in the network, similar to [20,28], the derived outage probability in Equation (8) is a function of variables ϕ max m and interference Laplace transform L I . This is different from existing works that analyse NOMA wireless systems under no interference where outage probability is mainly a function of ϕ max m .…”

Section: Proof See Appendix Bmentioning

confidence: 99%

Quality of Service Based NOMA Group D2D Communications

Anwar

Seet

2017

Future Internet

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Non-orthogonal multiple access (NOMA) provides superior spectral efficiency and is considered as a promising multiple access scheme for fifth generation (5G) wireless systems. The spectrum efficiency can be further enhanced by enabling device-to-device (D2D) communications. In this work, we propose quality of service (QoS) based NOMA (Q-NOMA) group D2D communications in which the D2D receivers (DRs) are ordered according to their QoS requirements. We discuss two possible implementations of proposed Q-NOMA group D2D communications based on the two power allocation coefficient policies. In order to capture the key aspects of D2D communications, which are device clustering and spatial separation, we model the locations of D2D transmitters (DTs) by Gauss-Poisson process (GPP). The DRs are then considered to be clustered around DTs. Multiple DTs can exist in proximity of each other. In order to characterize the performance, we derive the Laplace transform of the interference at the probe D2D receiver and obtain a closed-form expression of its outage probability using stochastic geometry tools. The performance of proposed Q-NOMA group D2D communications is then evaluated and benchmarked against conventional paired D2D communications.

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“…Retransmission diversity loss is reported in [9]- [11] due to the temporal interference correlations across subsequent time-slots. The negative impacts of spatiotemporal interference correlations are further highlighted in systems that involve simultaneous transmissions to proximate devices and retransmissions over consecutive time-slots such as cooperative relaying networks [12] and cooperative non-orthogonalmultiple-access networks [13]. However, the models in [8]- [13] focus on either downlink cellular or ad-hoc networks.…”

Section: Introductionmentioning

confidence: 99%

On the Effect of Uplink Power Control on Temporal Retransmission Diversity

Arshad

Afify

ElSawy

et al. 2019

IEEE Wireless Commun. Lett.

Self Cite

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Using stochastic geometry, this article studies the retransmission performance in uplink cellular networks with fractional path-loss inversion power control (FPC). We first show that the signal-to-interference-ratio (SIR) is correlated across time, which imposes temporal diversity loss in the retransmission performance. In particular, FPC with lower path-loss compensation factor decreases inter-cell interference but suffers from degraded retransmission diversity. On the other hand, full path-loss inversion achieves almost full temporal diversity (i.e., temporal SIR independence) at the expense of increased inter-cell interference. To this end, the results show that ramping-down the power upon transmission failure improves the overall coverage probability in interference-limited uplink networks.

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Cooperative HARQ-Assisted NOMA Scheme in Large-Scale D2D Networks

Cited by 52 publications

References 60 publications

Accuracy of Distance-Based Ranking of Users in the Analysis of NOMA Systems

Accuracy of Distance-Based Ranking of Users in the Analysis of NOMA Systems

Quality of Service Based NOMA Group D2D Communications

On the Effect of Uplink Power Control on Temporal Retransmission Diversity

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