Performance Analysis and Deep Learning Design of Underlay Cognitive NOMA-Based CDRT Networks With Imperfect SIC and Co-Channel Interference

Vu, Thai-Hoc; Nguyen, Toan-Van; Costa, Daniel Benevides da; Kim, Sunghwan

doi:10.1109/tcomm.2021.3110209

Cited by 38 publications

(27 citation statements)

References 45 publications

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“…Thai-Hoc et al considered an underlay NOMA-based CDRT system with imperfect SIC, imperfect channel state information (CSI), and co-channel interference in [8]. They proposed multiple relay selection schemes to improve the system throughput.…”

Section: A Backgroud and Related Workmentioning

confidence: 99%

“…Although the equation of the ESR of x 3 is similar to that of the ESR of x 1 , it must be noted that the effect of a t 2 1 on the ESR of x 3 is different from the effect of a S on the ESR of x 1 since there is 0 ≤ a t 2 1 ≤ 1 while a S < 0.5. Based on (8), one can find that increasing means that a t 2 1 denotes more power is allocated to x 3 and less power is allocated to z 2 , which leads to increasing both γ x 3 R and γ x 3 . However, γ x 3 R at 0.5 < a t 2 1 < 1 region increases faster than that at 0 < a t 2 1 < 0.5 because the power allocated to z 2 tends to zero.…”

Section: Ergodic Secrecy Sum Rate Analysismentioning

confidence: 99%

See 1 more Smart Citation

On Secure NOMA-CDRT Systems with Physical Layer Network Coding

Lei¹,

Xusheng²,

Park³

et al. 2022

Preprint

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This paper proposes a new scheme to enhance the secrecy performance of a NOMA-based coordinated direct relay transmission system (NOMA-CDRT) with an untrusted relay. The physical-layer network coding and the non-orthogonal multiple access scheme are combined to improve the spectrum efficiency. Furthermore, the inter-user interference and friendly jamming signals are utilized to suppress the eavesdropping ability of the untrusted relay without affecting the acceptance quality of legitimate users. Specifically, the far user in the first slot and the near user in the second slot act as jammers to generate jamming signals to ensure secure transmissions of the confidential signals. We investigate the secrecy performance of the proposed scheme in NOMA-CDRT systems and derive the closedform expression for the ergodic secrecy sum rate. The asymptotic analysis at high signal-to-noise ratio is performed to obtain more insights. Finally, simulation results are presented to demonstrate the effectiveness of the proposed scheme and the correctness of the theoretical analysis.

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Section: A Backgroud and Related Workmentioning

confidence: 99%

Section: Ergodic Secrecy Sum Rate Analysismentioning

confidence: 99%

On Secure NOMA-CDRT Systems with Physical Layer Network Coding

Lei¹,

Xusheng²,

Park³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…However, the simulation method suffers from long execution times over enormous numbers of iterations to achieve exactly converged results, whereas the numerical-integration method takes a very long time to solve nontrivial functions. Because of the high accuracy of estimating nonlinear functions at considerably low complexity, DL-based evaluation has overcome the limitations of model-based approaches [21], [22]. In this study, a deep multiple-output neural network (DMNN) framework, which is an extended version of a conventional deep neural network (DNN), was designed to effectively and simultaneously predict multiple performance metrics in terms of the ETP, energy efficiency (EE), and reliability.…”

Section: Introductionmentioning

confidence: 99%

Short-Packet URLLCs for Multihop MIMO Full-Duplex Relay Networks: Analytical and Deep-Learning-Based Real-Time Evaluation

Hoang¹,

Lee²

2022

Preprint

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<p>In this study, we investigate multihop multiple-input multiple-output (MIMO) full-duplex relay (FDR) networks with short-packet ultra-reliability and low-latency communications (uRLLCs), where transmit-antenna selection (TAS)/maximum-ratio combining (MRC), TAS/selection combining, and maximum-ratio transmission/MRC are leveraged as diversity techniques.</p> <p>Under quasi-static Rayleigh-fading channels and the finite-blocklength theory, the end-to-end block-error rate (BLER) performance of the considered FDR is analyzed and compared with that of half-duplex relaying systems, from which the effective throughput (ETP), energy efficiency (EE), reliability, and latency are also investigated. To gain further insights into the system design, an asymptotic BLER analysis in the high signal-to-noise ratio regime is provided. Based on the analytical and simulation results, the gains of multihop MIMO FDR networks in the context of short-packet uRLLCs are confirmed via the effect of system parameters on network performance. In addition, a novel deep multiple-output neural-network framework is developed to simultaneously predict the ETP, EE, and reliability with high accuracy, low computational complexity, and short execution time. This makes the framework an efficient estimator for real-time evaluations of future IoT applications, compared with conventional analysis and simulation approaches.</p>

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“…Until now, some publications have studied on the overlay paradigm while both the interweave and underlay paradigms have been found broadly in the literature. The overlay paradigm can be implemented by asking an SU to aid a PU by superimposing secondary signal with primary signal before transmission where the power allotted to the primary signal is superior to that allocated to the secondary signal—a mechanism same as non‐orthogonal multiple access (NOMA) 6–12 . NOMA is a feasible‐and‐efficient paradigm to meliorate spectrum utilization and was recommended within and beyond 5G.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of nonlinear energy scavenging overlay networks

Le-Thanh

Ho-Van

2022

Int J Communication

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This paper investigates a nonlinear energy scavenging overlay network (NLESON) wherein a primary source (PS) communicates with a primary destination (PD) probably under aid of a secondary source (SS) who communicates with a secondary destination (SD). SS is a power-constrained device, and thence, its operation relies on energy harvested by a practical nonlinear energy scavenger. To support PS and exploit the harvested energy at most, SS adaptively switches between single and superposition modes where the single mode allows SS to transmit solely its signal with the entire harvested energy and the superposition mode asks SS to transmit both-its signal and amplified primary signal-with different power fractions. Moreover, for increasing the probability of successfully decoding primary signal at PD and SD, which then reduces considerably primary interference on secondary signal in the superposition mode, we leverage both direct channels (PS-PD and PS-SD) and apply both signal combining paradigms (maximum ratio combining and selection combining).The outage/throughput performance of the NLESON is assessed quickly through the proposed closed-form expressions over κ À μ shadowed fading channels. Various results exposed the effectiveness of the aforementioned solutions for the NLESON and their flexibility in controlling system performance. K E Y W O R D Samplify-and-forward, direct channel, feedback, nonlinear energy scavenging, overlay networks, shadowed fading and motivationsAdvanced communication networks (viz., and Fifth-Generation [5G]) serve a vast quantity of users and hence pressuring significantly communication infrastructure in supplying adequately bandwidth and power. [1][2][3][4] Such a circumstance stimulates researches on initiatives to utilize energy and spectrum efficiently.On one hand, the spectrum can be exploited efficiently with the cognitive radio technology, which enables secondary users (SUs) to opportunistically transmit on the spectrum of primary users (PUs). Toward this end, SUs can operate with underlay, overlay, and interweave paradigms. 5 In both the overlay and underlay paradigms, PUs and SUs operate simultaneously while in the interweave one, SUs operate only when PUs are idle. Nevertheless, the underlay and overlay paradigms are different in that the former controls the transmit power of SUs such that the interference they induce

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Performance Analysis and Deep Learning Design of Underlay Cognitive NOMA-Based CDRT Networks With Imperfect SIC and Co-Channel Interference

Cited by 38 publications

References 45 publications

On Secure NOMA-CDRT Systems with Physical Layer Network Coding

On Secure NOMA-CDRT Systems with Physical Layer Network Coding

Short-Packet URLLCs for Multihop MIMO Full-Duplex Relay Networks: Analytical and Deep-Learning-Based Real-Time Evaluation

Performance evaluation of nonlinear energy scavenging overlay networks

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