Performance analysis at far and near user in NOMA based system in presence of SIC error

Jain, Monika; Soni, Sandhya; Sharma, Nikhil; Rawal, Divyang

doi:10.1016/j.aeue.2019.152993

Cited by 47 publications

(21 citation statements)

References 26 publications

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“…Assuming the SIC is ideal then UE1 signal detection is be expressed as [3], (13) Similarly estimated symbol at UE2 is [3], (14) In the above implementation, the number of users considered were two, if there are inumber of users in total and assuming perfect SIC, then the user a's signal detection at receiver can be expressed as [4] (15)…”

Section: Methodology and System Modelmentioning

confidence: 99%

“…Simulink is a graphical programming, developed by the MATLAB. This work proposes a developed Simulink model for the NOMA transmitter and receiver with AWGN, Rayleigh and Rician channel [13] utilizing modulation techniques like BPSK, QPSK and QAM [9]. In Simulink implementation series of binary bits (0 and 1) are considered as data on which signal processing operations are performed.…”

Section: Methodsmentioning

confidence: 99%

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Performance Analysis Of Non-Orthogonal Multiple Access Technique Using Simulink

2021

IJETER

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Non orthogonal multiple access (NOMA) is a novel technology for transmission of the data with similar data-rate for users both at the cell center and the at cell edge. Due to its good cell coverage and large transmission bandwidth enables reliable communication for users located at the cell edge. The signals for the users are transmitted through entire spatial bandwidth by multiplexing in the power domain. This work presents the Simulink implementation of non-orthogonal multiple access over additive white Gaussian noise channel, Rayleigh and Rician fading channel. The NOMA Transmitter and the receiver blocks with SIC are implemented for two user and three user environments. Multipath fading environment was providing using parameter settings available in theblocks. Performance of the models implemented are analyzed with respect to Bit error rate (BER) v/s Eb/Noplots comparing using various modulation schemes over various channels. The results are tabulated and analyzed.

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Section: Methodology and System Modelmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Performance Analysis Of Non-Orthogonal Multiple Access Technique Using Simulink

2021

IJETER

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“…Kara and Kaya [31] derive the BER of the near and far users which use QPSK and BPSK, respectively. Furthermore, the authors of [45] extend the work in [31] to consider the identical BPSK and QPSK cases. The authors of [46] study the high-power amplifier non-linear distortions in a DL orthogonal frequency division multiplexing (OFDM)-NOMA system, where the distortions are modelled with memory polynomial model.…”

Section: ) Various Number Of Usersmentioning

confidence: 99%

Error Rate Analysis of NOMA: Principles, Survey and Future Directions

Yahya¹,

Ahmed²,

Alsusa³

et al. 2023

Preprint

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<div>Non-orthogonal multiple access (NOMA) has received an enormous attention in the recent literature due to its potential to improve the spectral efficiency of wireless networks. For several years, most of the research efforts on the performance analysis of NOMA were steered towards the ergodic sum rate and outage probability. More recently, error rate analysis of NOMA has attracted massive attention and sparked massive number of researchers whose aim was to evaluate the error rate of the various NOMA configurations and designs. Therefore, the large number of publications that appeared in a short time duration made highly challenging for the research community to identify the contribution of the different research articles. Therefore, this work aims at surveying the research work that considers NOMA error rate analysis and classifying the contributions of each work. Therefore, work redundancy and overlap can be minimized, research gabs can be identified, and future research directions can be outlined. Moreover, this work presents the principles of NOMA error rate analysis.</div>

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“…In [5], the Optimum Sum-rate performance of NOMA is mathematically showed superior to OMA. The authors in [6] focused on analyzing the NOMA system's outage probability with SIC error. In [7], the authors investigated Graphics Processing Units (GPUs) based on SIC receiver and user clustering at Uplink NOMA.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Ergodic Sum Capacity of Cooperative NOMA Aided with Spatial Modulation

Srikamu

Jayabharathy

2021

Wireless Pers Commun

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Non-Orthogonal Multiple Access (NOMA) is one of the upsurging various access techniques for beyond 5G networks due to its high spectral efficiency. Combining Multiple-Input and Multiple-Output (MIMO) and NOMA provides significantly effective multiple access with improved spectral efficiency. While implementing MIMO-NOMA, it results with increased power consumption due to a greater number of Radio Frequency (RF) chains which increase the complexity of detection. This further leads to Inter-Channel Interference (ICI) and Inter Antenna Synchronization (IAS). A possible candidate to avoid these issues is implementing Index Modulation (IM) technique such as Spatial Modulation (SM) in NOMA system. A three-node User Relaying Cooperative NOMA system with SM named UR-SM-CNOMA is proposed in this paper. A recursive algorithm for maximizing the sum capacity of UR-CNOMA to obtain the optimal power allocation factor. With the analytical results obtained, simulation compares the proposed system and conventional User Relaying Cooperative NOMA (UR-CNOMA) system, which ensures the effectiveness of the proposed method. Simulation results of the sum capacity of UR-SM-CNOMA for different spatial locations of NU2 are depicted, and conditions for the site of NU2 and FU1 are obtained to outperform SM-OMA.

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Performance analysis at far and near user in NOMA based system in presence of SIC error

Cited by 47 publications

References 26 publications

Performance Analysis Of Non-Orthogonal Multiple Access Technique Using Simulink

Performance Analysis Of Non-Orthogonal Multiple Access Technique Using Simulink

Error Rate Analysis of NOMA: Principles, Survey and Future Directions

Comparative Analysis of Ergodic Sum Capacity of Cooperative NOMA Aided with Spatial Modulation

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