Performance Evaluation of Downlink Multiple Users NOMA-Enable UAV-Aided Communication Systems Over Nakagami-<i>m</i> Fading Environments

Dao, Thu-Thuy Thi; Nguyen, Sang; Nguyen, Hong Nhung; Nguyen, Phu X.; Kim, Yong‐Hwa

doi:10.1109/access.2021.3124017

Cited by 7 publications

(5 citation statements)

References 37 publications

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“…One of these possible ways is to deploy diversity techniques at the BSs and/or MUs to further enhance the Pcov and ASE [30]. Additionally, the application of reconfigurable intelligent surfaces (RIS) and NOMA into the ultra-dense cellular networks is also promising [31]- [33]. The heterogeneous networks architecture where cellular networks co-exist with other networks such as cognitive radio networks, low power wide area networks (LoRa, Sig-Fox), and device-to-device communications also scales up the system spectral efficiency [34], [35].…”

Section: Discussionmentioning

confidence: 99%

On the Performance of Cellular Networks with Adaptive Modulation and Energy Harvesting—A Stochastic Geometry Approach

Ho¹,

Nguyen²,

Phan³

et al. 2022

Proceedings of the Seventh International Conference on Research in Intelligent and Computing in Engineering

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The performance of ultra-dense cellular networks considering both adaptive discrete modulation (ADM) and energy harvesting (EH) is investigated. Particularly, mobile users (MUs) are charged its battery from all ambient radio frequency (RF) signals. Based on the amount of harvested energy as well as the channel conditions, MU will actively choose an appropriate modulation scheme that not only maximizes the rate but also satisfies the quality-of-service (QoS). Moreover, we consider the spatial-temporal correlation at the signal-to-interference-plusnoise ratios (SINRs) of base stations (BSs) which are totally different from work in the literature. Several important metrics are investigated such as, occurrence probabilities of different modulation schemes (Poc), coverage probability (Pcov), and achievable spectral efficiency (ASE). Finally, the results highlight the superiority of the proposed scheme compared to the conventional fixed modulation.

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Section: Discussionmentioning

confidence: 99%

On the Performance of Cellular Networks with Adaptive Modulation and Energy Harvesting—A Stochastic Geometry Approach

Ho¹,

Nguyen²,

Phan³

et al. 2022

Proceedings of the Seventh International Conference on Research in Intelligent and Computing in Engineering

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“…The results demonstrated that NOMA can achieve superior performance compared to the OMA when ipCSI follows a complex Gaussian distribution. In [14] [15], two unmanned aerial vehicle (UAV)-aided NOMA models were proposed. And, the outage probability, system throughput and ergodic rate performance were investigated under ipSIC assumption.…”

Section: Related Workmentioning

confidence: 99%

Spectrum Efficient Resource Allocation of NOMA Downlink System With MMSE Receiver

et al. 2023

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Non-orthogonal multiple access (NOMA) with the effective successive interference cancellation (SIC) is proved as a promising solution to improve the spectrum efficiency (SE). However, since the effective SIC usually requires complex algorithm and leads to higher processing delay, it may not be accepted by the B5G wireless communication due to the limited hardware resource of the mobile terminal and strict real-time request of service. Therefore, whether the NOMA with simple receiver could keep performance advantage directly relate to the promotion and application of NOMA in future. In this paper, we mainly investigate the SE performance of the NOMA downlink system with Minimum Mean Squared Error (MMSE) receiver (MMSE-NOMA) under the imperfect SIC (ipSIC) and CSI (ipCSI) assumption. Based on the analysis of residual interference caused by the ipSIC and ipCSI, the alterative first-order approximation iteration (A-FOAI) algorithm is proposed to optimal the SE performance of MMSE-NOMA.To make the research more objective and comprehensive, we evaluate the SE performance of NOMA with perfect SIC (pSIC) and CSI (pCSI) by adopting the first-order approximation iteration (FOAI) algorithm firstly. Numerical results show that the performance advantage of NOMA heavily depends on the differential degree among various channel gains. Especially, under the ipSIC and ipCSI conditions, the SE of MMSE-NOMA may even be lower than that of the traditional orthogonal multiple access (OMA) system with MMSE receiver when the differential degree among various channel gains is relatively insignificant. This conclusion can help us correctly adopt MMSE receiver to avoid high hardware resource consumption and processing delay in the future NOMA system.

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“…In Reference 5, the outage probability and achievable data rate of a full duplex UAV‐NOMA system with millimeter wave communication were successfully derived. On the other hand, 6 focused on calculating the outage probability for NOMA users and comparing the system's traversal rate and symbol error rate. The performance of the system was evaluated in both full SIC and incomplete SIC conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, research has been conducted on UAV-NOMA systems employing multiple UAVs as base stations or utilizing UAVs as relays. 2,[5][6][7][8][9][10][11][12][13][14][15] Both References 5 and 6 adopt the Nakagami-m fading model. In Reference 5, the outage probability and achievable data rate of a full duplex UAV-NOMA system with millimeter wave communication were successfully derived.…”

Section: Introductionmentioning

confidence: 99%

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Joint optimization of UAV position and user grouping for UAV‐assisted hybrid NOMA systems

Sun,

Dong,

Yang

et al. 2024

Computational Intelligence

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This article investigates the use of unmanned aerial vehicles (UAVs) in assisting hybrid non‐orthogonal multiple access (NOMA) systems to enhance spectrum efficiency and communication connectivity. A joint optimization problem is formulated for UAV positioning and user grouping to maximize the sum rate. The formulated problem exhibits non‐convexity, calling for an effective solution. To address this issue, a two‐stage approach is proposed. In the first stage, a particle swarm optimization algorithm is employed to optimize the UAV positions without considering user grouping. With the UAV positions optimized, a game theory‐based approach is utilized in the second stage to optimize user grouping and improve the sum rate of the hybrid NOMA system. Simulation results demonstrate that the proposed two‐stage method achieves solutions close to the global optimum of the original problem. By optimizing the positions of UAVs and user groups, the sum rate can be effectively improved. Additionally, optimizing the deployment of UAVs ensures better fairness in providing communication services to multiple users.

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Performance Evaluation of Downlink Multiple Users NOMA-Enable UAV-Aided Communication Systems Over Nakagami-m Fading Environments

Cited by 7 publications

References 37 publications

On the Performance of Cellular Networks with Adaptive Modulation and Energy Harvesting—A Stochastic Geometry Approach

On the Performance of Cellular Networks with Adaptive Modulation and Energy Harvesting—A Stochastic Geometry Approach

Spectrum Efficient Resource Allocation of NOMA Downlink System With MMSE Receiver

Joint optimization of UAV position and user grouping for UAV‐assisted hybrid NOMA systems

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