Wireless Powered Cooperative Relaying Using NOMA with Imperfect CSI

Do, Dinh‐Thuan; Vaezi, Mojtaba; Nguyen, Thanh-Luan

doi:10.1109/glocomw.2018.8644154

Cited by 61 publications

(49 citation statements)

References 20 publications

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“…In practice, however, perfect CSI may be unavailable due to delay, path loss, and user mobility for satellite networks [9]. As a result, inevitable imperfect CSI can make the judgment on users' order inaccurate, disrupt decoding order, and degrade the NOMA scheme [10], [11]. Under this condition, it is vital to geer towards practical NOMA based satellite networks where imperfect CSI is taken into account, to meet the urgent requirement of improving the resource utilization efficiency of satellite networks in the 5G era [12].…”

Section: Introductionmentioning

confidence: 99%

“…Substitute pop z into the hyperplane g(x) to obtain the related g(x), with which the mean square error (MSE) of those N training users are obtained; BestMSE≥ 0.01 do10 Select pops with high fitnesses;11 Do genetic operators, such as crossover and mutation, to generate M new pops; 12 end = g + 1;14 end 15 return pop with the best MSE; Output: The optimized hyperplane g(x).…”

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confidence: 99%

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Genetic Algorithm Optimized Support Vector Machine in NOMA-based Satellite Networks with Imperfect CSI

Yan

Wang

et al. 2020

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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With the help of a power-domain non-orthogonal multiple access (NOMA) scheme, satellite networks can simultaneously serve multiple users within limited time/spectrum resource block. However, the existence of channel estimation errors inevitably degrade the judgment on users' channel state information (CSI) accuracy, thus affecting the user pairing processing and suppressing the superiority of the NOMA scheme. Inspired by the advantages of machine learning (ML) algorithms, we propose an improved support vector machine (SVM) scheme to reduce the inappropriate user pairing risks and enhance the performance of NOMA based satellite networks with imperfect CSI. Particularly, a genetic algorithm (GA) is employed to optimize the regularization and kernel parameters of the SVM, which effectively improves the classification accuracy of the proposed scheme. Simulations are provided to demonstrate that the performance of the proposed method is better than that with random user paring strategy, especially in the scenario with a large number of users.Index Terms-Power-domain non-orthogonal multiple access, satellite networks, genetic algorithm, support vector machine, user paring.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Genetic Algorithm Optimized Support Vector Machine in NOMA-based Satellite Networks with Imperfect CSI

Yan

Wang

et al. 2020

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Additionally, NOMA can be combined with relaying scheme to form cooperative NOMA model, attracting significant research interest. The reliable communication can be provided in cooperative NOMA such as recent works . The main advantage of NOMA is presented in model employing device‐to‐device (D2D) communication.…”

Section: Introductionmentioning

confidence: 99%

“…In such D2D NOMA, the authors considered two relaying modes, Amplify and Forward (AF) and Decode and Forward (DF), to perform signal processing at relay who intends to serve NOMA far user . The outage probability and the throughput of relay links in several system model were examined in previous works . Furthermore, Sun et al presented multiple input single output (MISO)–based wireless transmission and a full‐duplex (FD) scheme.…”

Section: Introductionmentioning

confidence: 99%

Evaluating secrecy performance of cooperative NOMA networks under existence of relay link and direct link

Nguyen

2019

Int J Communication

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Summary The secrecy performance of a nonorthogonal multiple access (NOMA) system is examined in this study by employment of a dual‐hop decode‐and‐forward (DF) relay under existence of eavesdropper. Due to the fact that the relay is trusted or untrusted device and thus eavesdropper may wiretap information from the base station or the relay. In this regard, three scenarios related to trusted and untrusted relays are proposed, with different assumptions on the information overhearing ability of the eavesdropper; ie, the first scenario is that an eavesdropper overhears signal from the relay while the BS is overheard by eavesdropper in the second scenarios. More specifically, we derive closed‐form expressions for the secure probability metrics when the direct and relay links experience independent Rayleigh fading. There metrics include strictly positive secrecy capacity (SPSC) and the secure outage probability (SOP). Furthermore, secure performance of traditional orthogonal multiple access (OMA) is also provided as further comparison with NOMA counterpart. We analyze the influence of main coefficients such as the target rates and the transmit SNR factors on the secrecy performance. Our results specify that for reasonable selection of such parameters, secrecy performance can be enhanced remarkably. Numerical results are delivered to corroborate the derived results.

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“…requirement. In particular, non-orthogonal multiple access (NOMA) techniques are introduced as promising candidates for the future wireless communication vehicular networks [10,11]. In recent years, it has become popular to adopt NOMA in vehicular networks.…”

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confidence: 99%

Cognitive Radio-Assisted NOMA Broadcasting for 5G Cellular V2X Communications: Model of Roadside Unit Selection and SWIPT

Hoang

et al. 2020

Sensors

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The outage performance is a significant problem to implement the Cognitive Radio (CR) paradigm in the Vehicle to Everything (V2X) networks. Recently, more interest has focused on Non-Orthogonal Multiple Access (NOMA) in wireless-powered communication. In the conventional CR-enabled V2X-NOMA network, spectrum sensing and limited battery capacity at the Roadside Unit (RSU) may cause serious outage performance. In this study, RSU selection scheme is adopted. This paper presents an interesting model of a system with Simultaneous Wireless Information and Power Transfer (SWIPT) and a CR-enabled V2X-NOMA network. In the downlink, the RSU harvests wireless energy from Radio Frequency (RF) signals and senses the spectrum state at the same time. A CR-enabled V2X-NOMA system performance is presented by deriving exact expressions of outage probability of distant vehicles. In the overlay CR-enabled V2X-NOMA network, the constraints are transmit power and the number of designed RSU that make significant impacts on system performance. Simulation results show that the CR-enabled V2X-NOMA get benefits from energy harvesting and RSU selection scheme.

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Wireless Powered Cooperative Relaying Using NOMA with Imperfect CSI

Cited by 61 publications

References 20 publications

Genetic Algorithm Optimized Support Vector Machine in NOMA-based Satellite Networks with Imperfect CSI

Genetic Algorithm Optimized Support Vector Machine in NOMA-based Satellite Networks with Imperfect CSI

Evaluating secrecy performance of cooperative NOMA networks under existence of relay link and direct link

Cognitive Radio-Assisted NOMA Broadcasting for 5G Cellular V2X Communications: Model of Roadside Unit Selection and SWIPT

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