Joint SIC and power allocation for a multi-user paired UWOC-NOMA system in a turbulence environment

Yanjun Liang; Hongxi Yin; Xiuyang Ji; Jianying Wang; Zhongwei Shen

doi:10.1364/JOSAA.493679

Journal of the Optical Society of America A
Vol. 40,
Issue 10,
pp. 1908-1917
(2023)
•https://doi.org/10.1364/JOSAA.493679

Joint SIC and power allocation for a multi-user paired UWOC-NOMA system in a turbulence environment

Yanjun Liang, Hongxi Yin, Xiuyang Ji, Jianying Wang, and Zhongwei Shen

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Yanjun Liang, Hongxi Yin, Xiuyang Ji, Jianying Wang, and Zhongwei Shen, "Joint SIC and power allocation for a multi-user paired UWOC-NOMA system in a turbulence environment," J. Opt. Soc. Am. A 40, 1908-1917 (2023)

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Table of Contents Category
- Atmospheric and Oceanic Optics
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About this Article
History
- Original Manuscript: April 20, 2023
- Revised Manuscript: August 12, 2023
- Manuscript Accepted: September 13, 2023
- Published: September 21, 2023

Abstract

This paper proposes a staircase joint optimization scheme (SJOS) with alternating diagonal interference cancellation and power allocation in an underwater wireless optical communication system based on nonorthogonal multiple access (UWOC-NOMA) with the multi-user paired. The scheme employs the directional iteration to alternatively optimize the subproblems of the interference cancellation and the power allocation. Furthermore, a one-way sorting algorithm based on the alternating diagonal interference cancellation and power allocation subalgorithm based on the conjugate gradient method are presented to solve the two subproblems, respectively. Simulation results show that the algorithm effectively reduces the average outage probability of the system with fast convergence, even with an increase in the number of paired users.

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Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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	Ref.	Power Allocation (PA) Method	SIC Based on Linear Sorting Algorithms	Jointed Optimization of SIC and PA
RF-NOMA	[6]	global optimization based on enumeration.	yes	yes
	[7]	successive convex approximation algorithm	yes	no
	[8]	iterative optimization within the swarm based on fixed power allocation	yes (imperfect-SIC)	no
VLC-NOMA (FSO)	[9]	jointed optimization of subcarrier and power allocation	yes	no
	[10]	power allocation algorithm based on DNN	yes	no
UWOC-NOMA	[11]	successive convex approximation algorithm	yes	no
	[12]	suboptimal level global optimization algorithm	yes	no
	[13]	Golden-section-approach power allocation algorithm	yes	no

Parameters	Values	Parameters	Values
$A_{d}$	$0.01 m^{2}$	$θ_{0}$	30°
$η_{t} & η_{d}$	0.9	$θ_{f}$	40°
$k_{A}$	1	E	$1440 {W / m}^{2}$
$c (λ)$	$0.1514 m^{- 1}$	$Δ λ$	30 nm
$λ$	520 nm	R	1.25%
$σ_{s c i}^{2}$	0.1, 0.3	F	0.95
$θ$	25°, 15°, 5°, 30°, 10°	$Γ_{t h}$	10 dB

	Ref.	Power Allocation (PA) Method	SIC Based on Linear Sorting Algorithms	Jointed Optimization of SIC and PA
RF-NOMA	[6]	global optimization based on enumeration.	yes	yes
	[7]	successive convex approximation algorithm	yes	no
	[8]	iterative optimization within the swarm based on fixed power allocation	yes (imperfect-SIC)	no
VLC-NOMA (FSO)	[9]	jointed optimization of subcarrier and power allocation	yes	no
	[10]	power allocation algorithm based on DNN	yes	no
UWOC-NOMA	[11]	successive convex approximation algorithm	yes	no
	[12]	suboptimal level global optimization algorithm	yes	no
	[13]	Golden-section-approach power allocation algorithm	yes	no

Parameters	Values	Parameters	Values
$A_{d}$	$0.01 m^{2}$	$θ_{0}$	30°
$η_{t} & η_{d}$	0.9	$θ_{f}$	40°
$k_{A}$	1	E	$1440 {W / m}^{2}$
$c (λ)$	$0.1514 m^{- 1}$	$Δ λ$	30 nm
$λ$	520 nm	R	1.25%
$σ_{s c i}^{2}$	0.1, 0.3	F	0.95
$θ$	25°, 15°, 5°, 30°, 10°	$Γ_{t h}$	10 dB

Abstract

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Equations (29)

Journal of the Optical Society of America A