Joint Power Allocation and Decoding Order Selection for NOMA Systems: Outage-Optimal Strategies

Yang, Mengqi; Chen, Jian; Ding, Zhiguo; Liu, Yuanwei; Lv, Lu; Yang, Long

doi:10.1109/twc.2023.3277468

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…[21] used deep reinforcement learning to solve the power allocation in a throughput maximization problem. By the way, some studies have used prefixed power allocation for its advantages in applications of the internet of things without full CSI [23].…”

Section: Related Workmentioning

confidence: 99%

Optimal Decoding Order and Power Allocation for Sum Throughput Maximization in Downlink NOMA Systems

Han,

Hao,

Tang

et al. 2024

Entropy

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In this paper, we consider a downlink non-orthogonal multiple access (NOMA) system over Nakagami-m channels. The single-antenna base station serves two single-antenna NOMA users based on statistical channel state information (CSI). We derive the closed-form expression of the exact outage probability under a given decoding order, and we also deduce the asymptotic outage probability and diversity order in a high-SNR regime. Then, we analyze all the possible power allocation ranges and theoretically prove the optimal power allocation range under the corresponding decoding order. The demarcation points of the optimal power allocation ranges are affected by target data rates and total power, without an effect from the CSI. In particular, the values of the demarcation points are proportional to the total power. Furthermore, we formulate a joint decoding order and power allocation optimization problem to maximize the sum throughput, which is solved by efficiently searching in our obtained optimal power allocation ranges. Finally, Monte Carlo simulations are conducted to confirm the accuracy of our derived exact outage probability. Numerical results show the accuracy of our deduced demarcation points of the optimal power allocation ranges. And the optimal decoding order is not constant at different total transmit power levels.

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Section: Related Workmentioning

confidence: 99%

Optimal Decoding Order and Power Allocation for Sum Throughput Maximization in Downlink NOMA Systems

Han,

Hao,

Tang

et al. 2024

Entropy

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Performance of massive MIMO‐NOMA systems with low complexity group SIC receivers and low‐resolution ADCs

Zheng,

Yang,

et al. 2024

IET Communications

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Massive multiple‐input multiple‐output and non‐orthogonal multiple access (MIMO‐NOMA) with low‐resolution analog‐to‐digital converters (ADCs) have been widely considered for the next‐generation wireless communication systems. However, the performance of the system including power‐scaling law has not been well investigated for the practical low complexity receivers. Employing the additive quantization noise model, we derive asymptotic approximate expressions of the spectrum efficiency for the system with group successive interference cancellation (GSIC) receivers over Rician fading channels. Based on these approximations, we conduct a unified asymptotic analysis for the system with linear, SIC, and GSIC receivers. The analysis reveals the transmission power can be scaled by the number of antennas for the system with GSIC receivers and shows the effects of crucial parameters including the number of groups, resolution bits, and antennas on the performance. Given a quality of service, the minimum data transmission power is also calculated for each user and the corresponding approximate power allocation is derived. The asymptotic analysis and the accuracy of the power allocation approximation are then verified by simulation results. Numerical results also demonstrate that high spectrum efficiency and energy efficiency can be achieved by the system with medium‐resolution ADCs and low complexity maximum ratio combining‐GSIC receivers with a small number of groups.

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Design and Performance Analysis of Multirate-NOMA

Yahya,

Alsusa,

Al-Dweik

2024

IEEE Open J. Commun. Soc.

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Joint Power Allocation and Decoding Order Selection for NOMA Systems: Outage-Optimal Strategies

Cited by 3 publications

References 32 publications

Optimal Decoding Order and Power Allocation for Sum Throughput Maximization in Downlink NOMA Systems

Optimal Decoding Order and Power Allocation for Sum Throughput Maximization in Downlink NOMA Systems

Performance of massive MIMO‐NOMA systems with low complexity group SIC receivers and low‐resolution ADCs

Design and Performance Analysis of Multirate-NOMA

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