Comparative Analytical Study of SCMA Detection Methods for PA Nonlinearity Mitigation
Abstract
:1. Introduction
2. System Model
3. Bussgang Decomposition-Based MPA
- Notably, (12) quantifies the gap between the BER of the proposed approach and that of a universally optimal MPA (the RFF-based MPA in [12]). As mentioned before, this quantification helps when trading off computational complexity with BER performance subject to achieving a given BER-based level of QoS.
- It is further noted that the above deviation is independent of the fading distribution. In this context, it is indeed worth mentioning that the ideal BER, , is mostly an integral of a Q-function over the concerned PDF [2]. However, when (and hence its derivative ) are known, the optimality gap is found to be independent of the underlying distribution.
Algorithm 1 Bussgang based MPA. |
1: Initialization: according to a uniform distribution. 2: Initialization: , . 3: Initialize the maximum number of iterations, . 4: while c < ITER do end while 5: Detect user-symbols as per ([2] Equation (12.12)) using the steady-state message-values and codebook |
4. Simulations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
NOMA | Non-orthogonal multiple access |
SCMA | Sparse code multiple access |
MPA | Message passing algorithm |
BER | Bit error rate |
RKHS | Reproducing kernel Hilbert space |
RFF | Random Fourier features |
IIoT | Industrial internet of things |
PD-NOMA | Power domain NOMA |
SIC | Successive interference cancellation |
PA | Power amplifier |
QoS | Quality of service |
Probability density function | |
AWGN | Additive white Gaussian noise |
GSNR | Generalized signal-to-noise ratio |
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Sfeir, E.; Mitra, R.; Kaddoum, G.; Bhatia, V. Comparative Analytical Study of SCMA Detection Methods for PA Nonlinearity Mitigation. Sensors 2021, 21, 8408. https://doi.org/10.3390/s21248408
Sfeir E, Mitra R, Kaddoum G, Bhatia V. Comparative Analytical Study of SCMA Detection Methods for PA Nonlinearity Mitigation. Sensors. 2021; 21(24):8408. https://doi.org/10.3390/s21248408
Chicago/Turabian StyleSfeir, Elie, Rangeet Mitra, Georges Kaddoum, and Vimal Bhatia. 2021. "Comparative Analytical Study of SCMA Detection Methods for PA Nonlinearity Mitigation" Sensors 21, no. 24: 8408. https://doi.org/10.3390/s21248408