Successive Interference Cancellation Decoding With Adaptable Decision Regions for NOMA Schemes

Campello, Rafael; Carlini, G.; Souza, Carlos; Pimentel, Cecílio; Chaves, Daniel P. B.

doi:10.1109/access.2021.3137994

Cited by 9 publications

(3 citation statements)

References 24 publications

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“…Sequential Interference Cancellation (SIC) is a promising physical layer technique that can improve the efficiency of the wireless networks with relatively low additional complexity [41] . The idea of SIC is to sequentially decode all of the different users in the network by decreasing the error rate [42]- [43]. For the kth use, the instantaneous ratio s k between the received signal and noise at the kth receiving antenna where σ is the noise power of the Channel and P is the average received power expressed in watts is given by:…”

Section: System Modelmentioning

confidence: 99%

Zipf Distribution Power AllocationAapproach for NOMA Systems

Himeur,

Meriah,

Derraz

2023

International Journal of Electronics and Telecommunications

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Non-orthogonal multiple access (NOMA) has received tremendous attention for the development of 5G and beyond wireless networks. Power-domain NOMA works on the concept of assigning varying power levels to users within the same frequency and time block. In this paper we propose a novel power allocation approach that uses the Zipf distribution law that satisfies the basic condition of a NOMA system. The Zipf PA is characterized by the simplicity and ease of implementation that allows to extend the capacity of the system to support a large number of users. The numerical results show that the system achieves high throughput and energy efficiency without any parameter optimization constraints as well as improved capacity by increasing the number of users compared to the NOMA system with existing power allocation techniques.

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Section: System Modelmentioning

confidence: 99%

Zipf Distribution Power AllocationAapproach for NOMA Systems

Himeur,

Meriah,

Derraz

2023

International Journal of Electronics and Telecommunications

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“…The experimental results demonstrated that this receiver exhibited improved robustness against linear and non-linear distortions compared to receivers using SIC and joint detection. A modified SIC decoder was proposed to improve the symbol error rate performance of the three-user uplink/downlink NOMA by assuming channel gains, and the joint influence of the SNR and channel gains on the symbol error rate was also analyzed in [27]. Based on the above analysis, we can see that most existing works have focused primarily on designing signal detection algorithms at the receiver to improve error performance.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Gain Difference Power Allocation for NOMA-Based Visible Light Communications

Zhong,

Miao,

Wang

2024

Electronics

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With the escalating demand for high-data-rate wireless services, visible light communication (VLC) technology has emerged as a promising complement to traditional radio frequency wireless networks. To further enhance the achievable rate and error performance in non-orthogonal multiple access-based VLC downlinks, an efficient power allocation scheme named enhanced gain difference power allocation (EGDPA) is proposed for a multiple-input multiple-output VLC system. The power factors are determined by considering users’ channel gains and utilizing the residual allocation principle, which focuses on the remaining power available after allocating it to the previous users. In addition, the impacts of the user distribution and transmission power are investigated, and the performance metrics in terms of achievable data rate, energy efficiency, and bit error rate are also analytically presented. Simulation results demonstrate that energy efficiency can be significantly improved and the achievable data rate gain can be enhanced by at least 6.25% with the proposed EGDPA scheme as compared with other traditional methods, confirming its superiority and validity for efficient multi-user accessing.

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“…No caso de sistemas NOMA no domínio da potência, sinais de múltiplos usuários com diferentes níveis de potência são superpostos e a decodificação usual é realizada por cancelamento sucessivo de interferência (SIC, successive interference cancellation), na qual a decodificação é feita sucessivamente de acordo com as potências de cada usuário, que consideram os sinais de menor potência como ruído. Este método é eficiente quando existe uma suficiente separação entre as energias dos usuários [8]. Atratores caóticos tridimensionais possuem uma estrutura dinâmica associada a grafos e treliças que representa a evolução dinâmica das trajetórias caóticas no atrator.…”

Section: Introductionunclassified

Esquemas Caos-NOMA Baseados no Atrator de Lorenz

Silva¹,

Souza²,

Chaves³

et al. 2022

Anais Do XL Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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Resumo-Neste trabalho é proposto um esquema de acesso múltiplo não-ortogonal (NOMA, non-orthogonal multiple access) em que os sinais transmitidos por cada usuário são gerados pelo atrator caótico de Lorenz, integrando a eficiência espectral da técnica NOMA com as propriedades dinâmicas de sinais caóticos, o qual denominamos de caos-NOMA. É empregado um algoritmo de análise de componentes principais (PCA, principal component analysis) para redução de dimensionalidade dos sinais caóticos e é construída uma base ortonormal para o atrator de Lorenz. A partir dessa base, é construída uma constelação para os sinais gerados pelo atrator. Propriedades dinâmicas dos sinais caóticos resultam na transmissão de formas de onda variantes no tempo. Esta variação é modelada como um ruído intrínseco ao sistema, que dependendo do número de usuários e da diferença de energia dos sinais de cada usuário, pode resultar em uma curva de desempenho com patamar de erro. É proposta uma rede neural acoplada ao demodulador para mitigar o efeito deste ruído.Palavras-Chave-Caos, dinâmica simbólica, acesso múltiplo não-ortogonal, aprendizado profundo.

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Successive Interference Cancellation Decoding With Adaptable Decision Regions for NOMA Schemes

Cited by 9 publications

References 24 publications

Zipf Distribution Power AllocationAapproach for NOMA Systems

Zipf Distribution Power AllocationAapproach for NOMA Systems

Enhanced Gain Difference Power Allocation for NOMA-Based Visible Light Communications

Esquemas Caos-NOMA Baseados no Atrator de Lorenz

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