Efficient Pairing Distance for Better Radio Capacity in NOMA Systems

Mounchili, Salifou; Hamouda, Soumaya

doi:10.1109/ic_aset49463.2020.9318294

Cited by 9 publications

(5 citation statements)

References 14 publications

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“…As in [13] UCGD pairing is a method of pairing by balancing the channel gain difference between users. It first combines strong users and weak users, and then forms a more balanced pairing scheme.…”

Section: Ucgd Pairingmentioning

confidence: 99%

Research on User Pairing Techniques Based on NOMA in Cognitive Radio Networks

Huang¹,

He²,

Du³

2023

JCC

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This paper outlined a Non-Orthogonal Multiple Access (NOMA) grouping transmission scheme for cognitive radio networks. To address the problems of small channel gain difference of the middle part users caused by the traditional far-near pairing algorithm, and the low transmission rate of the traditional Orthogonal Multiple Access (OMA) transmission, a joint pairing algorithm was proposed, which provided multiple pairing schemes according to the actual scene. Firstly, the secondary users were sorted according to their channel gain, and then different secondary user groups were divided, and the far-near pairing combined with (Uniform Channel Gain Difference (UCGD) algorithm was used to group the secondary users. After completing the user pairing, the power allocation problem was solved. Finally, the simulation data results showed that the proposed algorithm can effectively improve the system transmission rate.

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Section: Ucgd Pairingmentioning

confidence: 99%

Research on User Pairing Techniques Based on NOMA in Cognitive Radio Networks

Huang¹,

He²,

Du³

2023

JCC

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“…4. Subsequently, the two-user NOMA pair should be ( 13) formed so that a minimum distance ( d min ) separates the near and far users is a necessary condition to keep a minimum intra-cluster interference (Mounchili and Hamouda 2020).…”

Section: Clustering and Associationmentioning

confidence: 99%

Hybrid NOMA-based ACO-FBMC/OQAM for next-generation indoor optical wireless communications using LiFi technology

Hesham

Ismail

2022

Opt Quant Electron

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Light fidelity (LiFi) has successfully achieved high data transfer rates, high security, great availability, and low interference. In this paper, we propose a LiFi system consisting of a combination of non-orthogonal multi-access (NOMA), asymmetrically-clipped optical (ACO), and filter bank multicarrier (FBMC) techniques combined with offset quadrature amplitude modulation (OQAM). The paper also applies a $$\mu $$ μ -law companding approach for a high peak to average power ratio (PAPR) reduction of the FBMC/OQAM scheme. The combination of NOMA, ACO-FBMC/OQAM, and $$\mu $$ μ -law companding allows a significant increase in throughput and a significant reduction in unserved users. Considering two scenarios, an appropriate algorithm is developed to maximize the throughput and minimize the number of blocked (unserved) users. The results show that the overall system throughput could be increased by 1.8 compared to FBMC, OFDM, and OFDM-NOMA. Furthermore, the proposed system reduces the number of unserved users below $$10\%$$ 10 % , while the system can provide 30 or $$60\%$$ 60 % in case only OFDM-NOMA, FBMC, or OFDM is applied.

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“…The authors in [31] introduced the distributed NOMA (D-NOMA) scheme by exploiting the intergroup gap in channel gains of the users to achieve higher data rates compared to conventional NOMA (C-NOMA). An efficient pairing distance NOMA (EPD-NOMA) is presented in [32], where the authors improved the overall throughput by using the calculated non-maximum coupling distance and compared the performance with different variants of NOMA in terms of user pairing techniques. For a multicell MIMO-NOMA downlink scenario, both power allocation (PA), and user paring are jointly optimized in [33], to improve energy efficiency.…”

Section: Related Literaturementioning

confidence: 99%

Capacity Optimization of Next-Generation UAV Communication Involving Non-Orthogonal Multiple Access

Sarfraz

Sohail

Alam

et al. 2022

Drones

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Unmanned air vehicle communication (UAV) systems have recently emerged as a quick, low-cost, and adaptable solution to numerous challenges in the next-generation wireless network. In particular, UAV systems have shown to be very useful in wireless communication applications with sudden traffic demands, network recovery, aerial relays, and edge computing. Meanwhile, non-orthogonal multiple access (NOMA) has been able to maximize the number of served users with the highest traffic capacity for future aerial systems in the literature. However, the study of joint optimization of UAV altitude, user pairing, and power allocation for the problem of capacity maximization requires further investigation. Thus, a capacity optimization problem for the NOMA aerial system is evaluated in this paper, considering the combination of convex and heuristic optimization techniques. The proposed algorithm is evaluated by using multiple heuristic techniques and deployment scenarios. The results prove the efficiency of the proposed NOMA scheme in comparison to the benchmark technique of orthogonal multiple access (OMA). Moreover, a comparative analysis of heuristic techniques for capacity optimization is also presented.

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Efficient Pairing Distance for Better Radio Capacity in NOMA Systems

Cited by 9 publications

References 14 publications

Research on User Pairing Techniques Based on NOMA in Cognitive Radio Networks

Research on User Pairing Techniques Based on NOMA in Cognitive Radio Networks

Hybrid NOMA-based ACO-FBMC/OQAM for next-generation indoor optical wireless communications using LiFi technology

Capacity Optimization of Next-Generation UAV Communication Involving Non-Orthogonal Multiple Access

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