Software Defined Radio Based Non-orthogonal Multiple Access (NOMA) Systems

Reddy, B. Siva Kumar; Mannem, Kiran; Jamal, Karim

doi:10.1007/s11277-021-08260-2

Cited by 17 publications

(10 citation statements)

References 89 publications

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“…Adicionalmente, en [51] se presenta un sistema de acceso múltiple no ortogonal (NOMA) basados en radio definido por software. Los autores estudian la implementación de sistemas de acceso múltiple no ortogonal en plataformas de radio definidas por software, ya que esta tecnología se ha reconocido como clave para las redes inalámbricas de quinta generación.…”

Section: C) Asiaunclassified

Radio Definida por Software: Una mirada a las tendencias y aplicaciones

Niño Rondón,

Puerto López,

Guevara Ibarra

et al. 2023

Ing.USBMed

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El concepto de radio definida por software ha tomado relevancia en los últimos años dada su funcionalidad para el control de funciones principalmente en dispositivos de comunicaciones y sensores tipo radar. Su rápida expansión se debe a la facilidad de implementación tanto a nivel amateur, a nivel profesiones como a nivel didáctico para la enseñanza. En este documento se presenta un análisis de tendencias de la radio definida por software con clasificación por continentes, donde la información de datos bibliográficas de alto impacto, se somete a tres filtros de palabras, y se incluyen documentos comprendidos en la ventana de 2015 a 2022. El análisis de las tendencias y aplicaciones de la radio definida por software en los continentes muestra el uso de esta tecnología en procesos de enseñanza, aplicaciones biomédicas y de sensórica, empleando herramientas tanto de software licenciado como herramientas de código abierto, y con énfasis en hacia el uso de técnicas de aprendizaje computacional.

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Section: C) Asiaunclassified

Radio Definida por Software: Una mirada a las tendencias y aplicaciones

Niño Rondón,

Puerto López,

Guevara Ibarra

et al. 2023

Ing.USBMed

View full text Add to dashboard Cite

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“…Most of the time, a case occurs when a licensed user or primary user of the spectrum band does not occupy the band. This causes unlicensed users or secondary users (SU) to gain access to the vacant spectrum [6].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Cooperative Spectrum Sensing using Regression Algorithms

reddy

Meena

2023

Preprint

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Recently, cooperative spectrum sensing (CSS) became an emerging technology due to its advantages in using the spectrum efficiently. In this paper CSS is integrated with the Machine Learning (ML) algorithms to improve the sensing of users which is possible with ML algorithms only in estimating the channel status. Further, the various popular machine learning models for regression are discussed with relevant mathematical analysis such as Linear Regression, Nonlinear Regression, Gaussian Process Regression (GPR), Support Vector Machine Regression (SVM), Generalized Linear Model, Regression Tree, Shallow Neural Network, Deep Neural Network and Regression Tree Ensembles. In this paper, 20 primary users are assumed with different energy levels by maintaining a maximum energy of 20 units and a threshold value of 4 units is fixed for all four scenarios and obtained results are analyzed. In this regard, we concluded a best fit line to extract the features such that the linear regression has been chosen. In addition, various transformations also applied for further improvement in regression to obtain the best results.

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“…require diverse quality of service (QoS) to meet the users' demand. To serve this demand of the IoT users, non-orthogonal multiple access (NOMA) finds a prominent role in achieving superior spectrum efficiency, user fairness, and ultra-dense connectivity [3][4][5][6]. NOMA serves multiple users over the same resources (time/frequency) based on superposition coding and successive interference cancellation (SIC) at the transmitter and the receiver nodes, respectively [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of NOMA System with QoS-Guarantee Scheme

Bisen

Bhatia

Mishra

et al. 2023

Preprint

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With an objective of connecting everyone and everything in beyond 5th-generation and 6th-generation wireless communication systems, there is a need for scalability in the access network. Non-orthogonal multiple access (NOMA) is considered as one of the leading, prominent, and promising technology to provide a solution for massive connectivity with superior spectrum efficiency and user fairness. NOMA simultaneously serves multiple users in a single resource block, thereby resulting in unrestricted, however controlled inter-user interference. To detect users’ symbols, NOMA employs successive interference cancellation at the receiver. However, inter-user interference is unavoidable in NOMA and thus results in performance degradation. This work proposes a simple yet effective scheme for the downlink NOMA that guarantees users’ quality of service by minimizing inter-user interference. Closed-form expressions for outage probability under the assumption of imperfect channel state information (CSI) with hardware impairment (HI) are derived to facilitate the performance evaluation of the proposed scheme. Expression of outage probability for two users under the assumption of perfect CSI without HI is also presented. Monte Carlo simulations are used to validate the derived analytical expressions.

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Software Defined Radio Based Non-orthogonal Multiple Access (NOMA) Systems

Cited by 17 publications

References 89 publications

Radio Definida por Software: Una mirada a las tendencias y aplicaciones

Radio Definida por Software: Una mirada a las tendencias y aplicaciones

Performance Analysis of Cooperative Spectrum Sensing using Regression Algorithms

Performance Analysis of NOMA System with QoS-Guarantee Scheme

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