Adaptive Power Factor Allocation for Cooperative Full-Duplex NOMA Systems With Imperfect SIC and Rate Fairness

Lima, Brena; Costa, Daniel Benevides da; Yang, Liang; Lima, F. Rafael M.; Oliveira, Rodolfo; Dias, Ugo Silva

doi:10.1109/tvt.2020.3029791

Cited by 22 publications

(15 citation statements)

References 13 publications

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“…In [25], Lima et al investigated max-min fair power control of full-duplex two-way CC-NOMA schemes. The obtained results delivered a better performance in terms of the fairness, achievable rate, and outage probability than the other adaptive power allocation techniques.…”

Section: A Related Workmentioning

confidence: 99%

“…In [26], Chen et al presented dynamic and fixed power allocation methods for a CC-NOMA scheme that switches between half-duplex and fullduplex modes. Nonetheless, [25] and [26] neither considered user clustering nor optimal phase-time allocation for twohop communication of the CC-NOMA. Moreover, a twohop CC-NOMA system was studied in [27] to reduce the overall system outage probability by optimizing power and time allocations.…”

Section: A Related Workmentioning

confidence: 99%

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UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation

Arzykulov

Çelik

Nauryzbayev

et al. 2022

IEEE Trans. Cogn. Commun. Netw.

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Cooperative and cognitive non-orthogonal multiple access (CCR-NOMA) has been recognized as a promising technique to overcome spectrum scarcity and massive connectivity issues envisioned in next-generation wireless networks. This paper investigates the deployment of an unmanned aerial vehicle (UAV) as a relay that fairly serves many secondary users in a hot-spot region. The UAV deployment algorithm must jointly account for user clustering, channel assignment, and resource allocation sub-problems. We propose a solution methodology that obtains user clustering and channel assignment based on the optimal resource allocations for a given UAV location. This paper is the first to jointly derive closed-form optimal power and time allocations for generic cluster sizes of CCR-NOMA networks. Derivations consider many practical limitations, such as hardware impairments, imperfect channel estimates, and interference temperature constraints. Compared to numerical benchmarks, proposed solutions reach optimal max-min fair data rate by consuming and spending much less transmission power and computational time. The proposed clustering uses the optimal data rates and channel assignment approaches based on a linear bottleneck assignment (LBA) algorithm. Numerical results show that the LBA achieves 100% accuracy in more than five orders of magnitude less time than the optimal integer linear programming benchmark.

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Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation

Arzykulov

Çelik

Nauryzbayev

et al. 2022

IEEE Trans. Cogn. Commun. Netw.

View full text Add to dashboard Cite

show abstract

“…Regardless of the communication results in the feedback channel, the observer can ideally estimate the control-state by virtue of ACK/NACK signaling as seen in (16). This means that TCP-based WNCS does not need the feedback signaling from the plant because neither the disturbance nor measurement (including quantization) error is assumed in this work.…”

Section: Proposition 1: (Power Allocation For Tcp-based Wncs)mentioning

confidence: 99%

“…The power allocation is a common problem in wireless communications systems. There are many sophisticated power allocation methods, e.g., [16], [17]. The study approach of [17] is similar to this work in terms of cross-layer optimization.…”

Section: Introductionmentioning

confidence: 98%

MPC Based Power Allocation for Reliable Wireless Networked Control Systems

Ichii

2021

IEEE Access

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“…Using Ei(− 1 ) → ln 1 + C E where C E is the Euler constant, the asymptotic ergodic rate of D 1,k * for TRSPA-FD when → ∞ can be written as ( 29)-(32) according to ( 23)- (26).…”

Section: Ergodic Rate Of D 1k * and Spatial Multiplexing Gain Under Hmentioning

confidence: 99%

Relay selection for spatially random full‐duplex cooperative non‐orthogonal multiple access networks

Wang

Jia

et al. 2021

IET Communications

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This paper investigates the relay selection problem and proposes a three-stage relay selection strategy with power allocation (TRSPA) for a spectrum-sensing-based fullduplex (FD) user relaying cooperative non-orthogonal multiple access (CNOMA) scheme. Uniformly-distributed strong user relays in the investigated scheme help a weak user communicates with the base station in an efficient and reliable way. The proposed TRSPA strategy maximizes the transmission data rate of the selected relay while ensuring successful transmissions for the weak user by precisely narrowing down relay candidates step-by-step and dynamically allocating optimal power coefficients. Exact and asymptotic outage probabilities and ergodic rates are worked out. Accordingly, diversity orders and spatial multiplexing gains are derived. We further exploit the impact of self-interference (SI) on TRSPA for FD-CNOMA and then compare its performance with TRSPA applied in other relaying modes, that is half-duplex and orthogonal multiple access. Finally, simulation results reveal that: (i) theoretical derivation results are correct; (ii) TRSPA always outperforms other relay selection strategies in terms of outage probability and ergodic rate; and (iii) TRSPA for FD-CNOMA in a real-world scenario achieves better performance than other relaying modes in spite of the adverse effect of SI in FD mode. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Adaptive Power Factor Allocation for Cooperative Full-Duplex NOMA Systems With Imperfect SIC and Rate Fairness

Cited by 22 publications

References 13 publications

UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation

UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation

MPC Based Power Allocation for Reliable Wireless Networked Control Systems

Relay selection for spatially random full‐duplex cooperative non‐orthogonal multiple access networks

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