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Wireless-powered relaying SIMO-UWOC/MISO-RF networks with residual hardware impairments 具有残余硬件损伤的无线供电中继 SIMO-UWOC/MISO-RF 网络
IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-15 DOI: 10.1016/j.phycom.2024.102521
Huanting Liu , Wenwei Luo , Jize Song , Lihong Feng , Jiliang Zhang , Gaofeng Pan
Due to the non-ideal characteristics of the transceivers, there always exists some residual hardware impairments (RHIs) in practical communication systems, which could lead to degraded system performance. Therefore, in this study, we investigate wireless-powered relaying assisted underwater wireless optical communication-radio frequency systems in the context of RHIs. Specifically, considering the scenario that a multi-aperture and multi-antenna relay employs both a selection combining and a transmit antenna selection schemes to process the received and transmitted signals, we first obtain both the probability density function and cumulative distribution function of the instantaneous signal-to-interference-plus-noise ratio of the first link with RHIs. Next, utilizing those expressions as well as the Meijer’s-G and Fox’s-H functions, the analytical and asymptotic expressions of outage probability as well as analytical average bit error rate expressions are obtained. In addition, Monte-Carlo simulations are performed to check the accuracy of those obtained expressions.
由于收发器的非理想特性,实际通信系统中总会存在一些残余硬件损伤(RHIs),这可能会导致系统性能下降。因此,在本研究中,我们研究了 RHIs 背景下的无线供电中继辅助水下无线光通信-射频系统。具体来说,考虑到多孔径、多天线中继采用选择组合和发射天线选择两种方案来处理接收和发射信号的情况,我们首先得到了具有 RHIs 的第一链路的瞬时信号干扰加噪声比的概率密度函数和累积分布函数。然后,利用这些表达式以及 Meijer's-G 和 Fox's-H 函数,得到中断概率的分析和渐近表达式以及平均误码率的分析表达式。此外,还进行了蒙特卡洛模拟,以检验这些表达式的准确性。
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引用次数: 0
On mitigating reactive jamming with dynamic resource allocation in optical IRS and UAV-assisted FSO-based networks 在基于光 IRS 和无人机辅助 FSO 的网络中利用动态资源分配缓解反应性干扰
IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-10 DOI: 10.1016/j.phycom.2024.102520
Priyanka Singh , Haythem Bany Salameh , Vivek Ashok Bohara , Anand Srivastava , Moussa Ayyash
Free space optics (FSO) offers a promising opportunity to enhance next-generation network’s capacity with its unlicensed spectrum and wide bandwidth. However, jamming attacks, coupled with inherent anomalies in the FSO-based channel, threaten the performance of these networks. This is especially problematic for security-sensitive applications that demand a resilient communication infrastructure. To address this issue, optical intelligent reflecting surfaces (IRS) and unmanned aerial vehicles (UAVs) can provide promising solutions. This work introduces an efficient approach for mirror element assignment in UAV-assisted FSO-based networks, aimed at mitigating reactive jamming attacks while satisfying users’ quality-of-service (QoS) requirements. To ensure network reliability, we formulate an optimization problem that enhances overall network performance by simultaneously allocating resources such as mirror elements with awareness of jamming attacks. The formulated optimization problem is a binary linear programming problem, which is generally NP-hard. To address this, we introduce a batch-based sequential fixing linear programming procedure called the Reactive Jamming-Aware Mirror Element Allocation (RJA-MEA) scheme. This scheme optimally assigns mirror elements to satisfy the users’ rate demands. In this paper, the performance of the RJA-MEA scheme is compared with reference schemes such as Reactive Jamming Unaware-Mirror Element Allocation (RJU-MEA), Reactive Jamming-Aware Equal Mirror Element Allocation (RJA-EMEA), and Reactive Jamming Unaware-Equal Mirror Element Allocation (RJU-EMEA) schemes. The simulation results reveal that the proposed RJA-MEA scheme surpasses existing reference schemes, thereby significantly improving the overall network sumrate performance.
自由空间光学(FSO)具有未授权频谱和宽带宽的特点,为提高下一代网络的容量提供了一个大有可为的机会。然而,干扰攻击以及基于 FSO 的信道中固有的异常现象威胁着这些网络的性能。对于需要弹性通信基础设施的安全敏感型应用来说,这尤其成问题。为解决这一问题,光学智能反射面(IRS)和无人飞行器(UAV)可提供前景广阔的解决方案。这项工作介绍了一种在无人飞行器辅助的基于 FSO 的网络中进行镜元分配的高效方法,旨在减轻被动干扰攻击,同时满足用户的服务质量(QoS)要求。为了确保网络的可靠性,我们提出了一个优化问题,通过同时分配镜像元素等资源,提高网络的整体性能,并同时考虑到干扰攻击。所提出的优化问题是一个二元线性规划问题,通常具有 NP 难度。为了解决这个问题,我们引入了一种基于批处理的顺序固定线性规划程序,称为 "反应式干扰感知镜像元素分配(RJA-MEA)"方案。该方案以最佳方式分配镜像元素,以满足用户的速率需求。本文将 RJA-MEA 方案的性能与参考方案进行了比较,如反应式干扰无感知镜像元分配 (RJU-MEA)、反应式干扰感知等效镜像元分配 (RJA-EMEA) 和反应式干扰无感知等效镜像元分配 (RJU-EMEA)。仿真结果表明,拟议的 RJA-MEA 方案超越了现有的参考方案,从而显著提高了整体网络总和性能。
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引用次数: 0
SCANet: A lightweight deep learning network for massive MIMO CSI feedback based on spatial and channel attention mechanism SCANet:基于空间和信道关注机制的大规模多输入多输出 CSI 反馈轻量级深度学习网络
IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-09 DOI: 10.1016/j.phycom.2024.102516
Huaqiang Chen , Weiqiang Tan , Jiajia Guo , Feiran Yang
Multi-user massive multiple-input multiple-output (MIMO) communication systems consume too much downlink bandwidth due to the huge channel state information (CSI) feedback, deep learning-based CSI feedback approaches fortunately can alleviate the feedback overhead while obtaining an accurate CSI. However, there is a trade-off between the high feedback performance and low computational complexity. In this paper, a low-complexity CSI feedback approach is proposed based on spatial and channel attention mechanism, namely the Spatial and Channel Attention Network (SCANet). Specifically, the spatial and channel attention mechanism makes the network’s attention mainly focus on the specific spatial regions and key feature channels. We devise a serial architecture in the encoder that composes of Spatial and Channel Attention Block (SCAB) and Encoder Transformer Block. Moreover, we design a hybrid architecture in the decoder that composes of the CNNs Block and Decoder Transformer Block. These designs enable the network to effectively extract both global and local CSI features. Computer simulations in both the indoor and outdoor scenarios show that under the same system configurations, the proposed low-complexity SCANet achieves almost the same performance as the state-of-the-art network while reducing the computational complexity by 85.76% fewer floating-point operations per second (FLOPS) on average.
多用户大规模多输入多输出(MIMO)通信系统由于巨大的信道状态信息(CSI)反馈而消耗了过多的下行链路带宽,幸运的是,基于深度学习的 CSI 反馈方法可以在获得精确 CSI 的同时减轻反馈开销。然而,高反馈性能和低计算复杂度之间需要权衡。本文提出了一种基于空间和信道注意机制的低复杂度 CSI 反馈方法,即空间和信道注意网络(SCANet)。具体来说,空间和信道注意机制使网络的注意力主要集中在特定的空间区域和关键特征信道上。我们在编码器中设计了一种串行架构,由空间和信道注意块(SCAB)和编码器变换块组成。此外,我们还在解码器中设计了一种混合架构,由 CNN 数据块和解码器转换器数据块组成。这些设计使网络能够有效提取全局和局部 CSI 特征。在室内和室外场景下进行的计算机仿真表明,在相同的系统配置下,所提出的低复杂度 SCANet 实现了与最先进网络几乎相同的性能,同时计算复杂度平均每秒减少了 85.76% 的浮点运算 (FLOPS)。
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引用次数: 0
Cognitive radio inspired RSMA-MEC under hardware impairments: Performance analysis and optimization 硬件损伤下的认知无线电启发 RSMA-MEC:性能分析与优化
IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-09 DOI: 10.1016/j.phycom.2024.102510
Chuangming Zheng , Jiayang Ban , Liqin Shi , Yinghui Ye
In this paper, we investigate a cognitive radio (CR) inspired rate splitting multiple access (RSMA) aided mobile edge computing (MEC) network, where hardware impairments (HIs) in all transceivers are considered. Given that allowing the secondary user (SU) to share the resource with the primary user (PU) for data offloading does not degrade the PU’s offloading performance, we derive closed-form expressions for the rate-splitting parameter and power allocation coefficient at the SU to maximize its offloading rate. Using the derived parameters, we then derive the successful computation probability (SCP), which is defined as the probability that both the PU and SU can successfully compute their task bits within a given latency budget, into the closed form. To further enhance the performance of the CR inspired RSMA-MEC network with HIs, a SCP maximization-based problem is formulated to jointly optimize the task offloading ratio and task offloading time of both the SU and PU. Leveraging the convex theory, we obtain the optimal solutions in the closed form. Simulation results confirm the following two insights. First, the presence of HIs leads to a decreasing on the SCP and the SCP approaches to a constant which is less than 1 with the increase of the transmit power. Second, with the optimal task offloading ratio and time, the CR inspired RSMA-MEC achieves the highest SCP compared to the existing schemes.
本文研究了一种受认知无线电(CR)启发的速率分裂多重接入(RSMA)辅助移动边缘计算(MEC)网络,其中考虑了所有收发器的硬件损伤(HI)。考虑到允许次要用户(SU)与主要用户(PU)共享资源进行数据卸载不会降低 PU 的卸载性能,我们推导出了速率分割参数和 SU 功率分配系数的闭式表达式,以最大化其卸载速率。利用推导出的参数,我们得出了成功计算概率 (SCP),即 PU 和 SU 在给定延迟预算内成功计算其任务比特的概率。为了进一步提高具有 HI 的 CR 启发 RSMA-MEC 网络的性能,我们提出了一个基于 SCP 最大化的问题,以共同优化 SU 和 PU 的任务卸载率和任务卸载时间。利用凸理论,我们得到了闭合形式的最优解。仿真结果证实了以下两个观点。首先,HI 的存在导致 SCP 下降,并且随着发射功率的增加,SCP 接近于小于 1 的常数。其次,与现有方案相比,在最佳任务卸载率和时间下,受 CR 启发的 RSMA-MEC 实现了最高的 SCP。
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引用次数: 0
Improving the security of NOMA cognitive networks 提高 NOMA 认知网络的安全性
IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-05 DOI: 10.1016/j.phycom.2024.102502
Enyu Li, Meijuan Zheng, Zanyang Liang, Ye Wang, Haoming Wang
Aiming at the scenario where the eavesdropper try to eavesdrop on the confidential messages of secondary trusted users, two physical-layer network coding (PNC) strategies, namely dual power superposition (PS-PS) encoding strategy and bit-level exclusive-or power superposition (XOR-PS) encoding strategy, are proposed to improve the security performance of cognitive non-orthogonal multiple access (NOMA) networks with the help of the data transmitted by the primary user. Considering the overlay spectrum sharing mechanism and the imperfect successive interference cancellation (SIC) technology, we first derive the closed-form accurate expressions of the outage probability and intercept probability of the secondary network with these two schemes over Rayleigh fading, and also give the asymptotic outage probability in the high signal-to-noise ratio (SNR) regime. Then, the correctness of the theoretical results is verified by simulation. For comparison, we also use the scheme without the assistance of the primary user as the benchmark scheme, which is represented by NPS. Finally, the simulation results show that the security of the proposed PS-PS and XOR-PS schemes is much better than that of the NPS scheme in the case of without reducing the outage performance.
针对窃听者试图窃听二级可信用户机密信息的场景,提出了两种物理层网络编码(PNC)策略,即双功率叠加(PS-PS)编码策略和位级排他或功率叠加(XOR-PS)编码策略,以借助主用户传输的数据提高认知非正交多址(NOMA)网络的安全性能。考虑到叠加频谱共享机制和不完善的连续干扰消除(SIC)技术,我们首先推导出了在瑞利衰落条件下采用这两种方案的二级网络的中断概率和截获概率的闭式精确表达式,并给出了在高信噪比(SNR)条件下的渐近中断概率。然后,通过仿真验证了理论结果的正确性。为了进行比较,我们还使用了没有主用户协助的方案作为基准方案,该方案以 NPS 为代表。最后,仿真结果表明,在不降低中断性能的情况下,所提出的 PS-PS 和 XOR-PS 方案的安全性远远优于 NPS 方案。
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引用次数: 0
STARS aided NOMA ambient backscatter communications STARS 辅助 NOMA 环境反向散射通信
IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-05 DOI: 10.1016/j.phycom.2024.102515
Xinwei Yue , Yang Zhou , Ce Zhang , Jingjing Zhao , Yanan Ma , Yuanyuan Yao , Chongwen Huang
Simultaneously transmitting and reflecting surface (STARS) has emerged as a revolutionary technology to enable full spatial coverage. This paper investigates the application of STARS into non-orthogonal multiple access based ambient backscatter communication (NOMA-AmBC) networks, where the backscatter signals are separately reflected and transmitted to user n and user f with the help of STARS. Specifically, we derive new exact and approximate expressions of outage probability and ergodic rate for backscatter signals and a pair of users. Based on the asymptotic analytical results, the diversity order and multiplexing gain are provided for STARS-NOMA-AmBC networks. For the purpose of comparison, we further deduce the exact expressions of outage probability and ergodic rate for STARS aided orthogonal multiple access AmBC (STARS-OMA-AmBC) networks. The numerical results confirm our analysis and show that: (i) The outage behaviors of STARS-NOMA-AmBC are superior to that of STARS-OMA-AmBC; (ii) As the number of reconfigurable elements and backscatter coefficients increases, the backscatter signal has ability to acquire the greater performance gains; and (iii) The ergodic performance of STARS-NOMA-AmBC networks is better than that of reconfigurable intelligent surface assisted AmBC networks.
同时发射和反射面(STARS)是实现全空间覆盖的一项革命性技术。本文研究了 STARS 在基于非正交多址的环境反向散射通信(NOMA-AmBC)网络中的应用,在 STARS 的帮助下,反向散射信号被分别反射和传输给用户 n 和用户 f。具体来说,我们推导出了反向散射信号和一对用户的中断概率和遍历率的新的精确和近似表达式。根据渐近分析结果,我们给出了 STARS-NOMA-AmBC 网络的分集阶数和复用增益。为了便于比较,我们进一步推导出了 STARS 辅助正交多址 AmBC(STARS-OMA-AmBC)网络的中断概率和遍历率的精确表达式。数值结果证实了我们的分析,并表明(i) STARS-NOMA-AmBC 的中断行为优于 STARS-OMA-AmBC;(ii) 随着可重构元素和反向散射系数数量的增加,反向散射信号有能力获得更大的性能增益;以及 (iii) STARS-NOMA-AmBC 网络的遍历性能优于可重构智能表面辅助 AmBC 网络。
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引用次数: 0
An effective and efficient UAV leader selection scheme in swarm of UAVs 无人机群中有效且高效的无人机首领选择方案
IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-03 DOI: 10.1016/j.phycom.2024.102513
Cheru Haile Tesfay , Zheng Xiang , Long Yang , Michael Abebe Berwo , Jabar Mahmood , Shehzad Ashraf Chaudhry
Therefore, this study aims to introduce a novel framework for leader and coordinator selection in a swarm of UAVs that may further reduce communication delay and increase the data transmission rate. The proposed reliable framework avoids single-point failure. We use an integrated greedy approach for leader selection using better channel gain, enhanced data transmission rate, and minimal round-trip delays as metrics. Furthermore, the UAV coordinator is selected based on the nearest distance. In addition, this study also proposes an efficient and iterative algorithm for the effective selection of UAV leaders and coordinators. The experimental results indicate that our proposed protocol minimizes delay by 20% and increases the data transmission rate by 102bps as compared with existing methods.
因此,本研究旨在为无人机群中的领导者和协调者选择引入一个新框架,以进一步减少通信延迟并提高数据传输速率。所提出的可靠框架可避免单点故障。我们采用综合贪婪法来选择领导者,以更好的信道增益、更高的数据传输速率和最小的往返延迟作为衡量标准。此外,无人机协调器的选择基于最近的距离。此外,本研究还提出了一种高效的迭代算法,用于有效选择无人机领导者和协调者。实验结果表明,与现有方法相比,我们提出的协议可将延迟减少 20%,并将数据传输速率提高 102bps。
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引用次数: 0
Multi-modal fusion for sensing-aided beam tracking in mmWave communications 毫米波通信中传感辅助波束跟踪的多模式融合
IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-01 DOI: 10.1016/j.phycom.2024.102514
Yijie Bian , Jie Yang , Lingyun Dai , Xi Lin , Xinyao Cheng , Hang Que , Le Liang , Shi Jin
Millimeter wave (mmWave) communication has attracted extensive attention and research due to its wide bandwidth and abundant spectrum resources. Effective and fast beam tracking is a critical challenge for the practical deployment of mmWave communications. Existing studies demonstrate the potential of sensing-aided beam tracking. However, most studies are focus on single-modal data assistance without considering multi-modal calibration or the impact of inference latency of different sub-modules. Thus, in this study, we design a decision-level multi-modal (mmWave received signal power vector, RGB image and GPS data) fusion for sensing-aided beam tracking (DMBT) method. The proposed DMBT method includes three designed mechanisms, namely normal prediction process, beam misalignment alert and beam tracking correction. The normal prediction process conducts partial beam training instead of exhaustive beam training, which largely reduces large beam training overhead. It also comprehensively selects prediction results from multi-modal data to enhance the DMBT method robustness to noise. The beam misalignment alert based on RGB image and GPS data detects whether there exists beam misalignment and also predict the optimal beam. The beam tracking correction is designed to capture the optimal beam if misalignment happens by reusing certain blocks in normal prediction process and possibly outdated prediction results. Finally, we evaluate the proposed DMBT method in the vehicle-to-infrastructure scenario based on a real-world dataset. The results show that the method is capable of self-correction and mitigating the negative effect of the relative inference latency. Moreover, 75%–93% beam training overhead can be saved to maintain reliable communication even when faced with considerable noise in measurement data.
毫米波(mmWave)通信因其宽广的带宽和丰富的频谱资源而受到广泛关注和研究。有效而快速的波束跟踪是毫米波通信实际部署的关键挑战。现有研究证明了传感辅助波束跟踪的潜力。然而,大多数研究都侧重于单模式数据辅助,而没有考虑多模式校准或不同子模块的推理延迟的影响。因此,在本研究中,我们设计了一种决策级多模态(毫米波接收信号功率矢量、RGB 图像和 GPS 数据)融合传感辅助波束跟踪(DMBT)方法。所提出的 DMBT 方法包括三个设计机制,即正常预测过程、波束错位警报和波束跟踪校正。正常预测过程是进行部分波束训练,而不是详尽的波束训练,这在很大程度上减少了大量波束训练开销。它还从多模态数据中综合选择预测结果,以增强 DMBT 方法对噪声的鲁棒性。基于 RGB 图像和 GPS 数据的光束错位警报可检测是否存在光束错位,并预测最佳光束。波束跟踪校正的目的是在发生错位时,通过重复使用正常预测过程中的某些块和可能过时的预测结果来捕捉最佳波束。最后,我们基于真实世界的数据集,在车辆到基础设施的场景中对所提出的 DMBT 方法进行了评估。结果表明,该方法能够进行自我校正,减轻相对推理延迟的负面影响。此外,即使在测量数据存在大量噪声的情况下,也能节省 75%-93% 的波束训练开销,从而保持可靠的通信。
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引用次数: 0
Compound parabolic concentrator for LED-based underwater optical communication transmitter 用于基于 LED 的水下光通信发射器的复合抛物面聚光器
IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-01 DOI: 10.1016/j.phycom.2024.102511
Mehmet Turhal , Cenk Albayrak , Yigit Mahmutoglu , Kadir Turk
Laser sources have been used at the transmitter unit of underwater wireless optical communication (UWOC) systems since their invention. In recent years, light-emitting diodes (LEDs) have begun to be used as UWOC transmitters due to their low cost, long lifespan, and high energy efficiency. However, data transmission distances in UWOC systems using bare LEDs and LED arrays with collimating lens are limited due to LED’s large divergence angles and insufficient gains provided by the low cost lens designs. In this paper, we propose to use a compound parabolic concentrator (CPC), whose transmission efficiency curve is very close to the ideal concentrator, as a collimator that narrows the divergence angle of LEDs to design low-cost UWOC transmitter with long communication distance. Using the Bouguer–Beer–Lambert channel model, we derived the received optical power expression at the receiver side for the LED-based UWOC system with CPC at the transmitter. Furthermore, unlike existing studies in the literature, the full spectrum of the LED has been taken into account when deriving the power expression. The results show that using the CPC collimator instead of a typical collimation lens in an LED-based UWOC system can narrow the divergence angle by approximately 10 times, resulting in a 70 dB increase in signal-to-noise ratio (SNR) at the receiver and up to a 20 times increase in the communication distance.
激光源自发明以来一直用于水下无线光通信(UWOC)系统的发射单元。近年来,发光二极管(LED)因其低成本、长寿命和高能效开始被用作 UWOC 发射器。然而,由于发光二极管的发散角较大,且低成本透镜设计提供的增益不足,使用裸发光二极管和带准直透镜的发光二极管阵列的 UWOC 系统的数据传输距离有限。在本文中,我们建议使用传输效率曲线非常接近理想聚光器的复合抛物面聚光器(CPC)作为准直器,以缩小 LED 的发散角,从而设计出具有长通信距离的低成本 UWOC 发射器。利用 Bouguer-Beer-Lambert 信道模型,我们推导出了发射器采用 CPC 的基于 LED 的 UWOC 系统在接收端的接收光功率表达式。此外,与现有文献研究不同的是,我们在推导功率表达式时考虑了 LED 的全光谱。结果表明,在基于 LED 的 UWOC 系统中使用 CPC 准直器代替典型的准直透镜,可将发散角缩小约 10 倍,从而使接收器的信噪比 (SNR) 提高 70 dB,通信距离最多可增加 20 倍。
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引用次数: 0
UAV aided NOMA relaying with energy harvesting architecture: Performance analysis 采用能量收集架构的无人机辅助 NOMA 中继:性能分析
IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-28 DOI: 10.1016/j.phycom.2024.102480
Kaustubh Ranjan Singh, Parul Garg
In this work, we consider a dual hop Non Orthogonal Miltiple Access (NOMA) based communication network between Source S and two destination users UA , UB which is aided by an Unmanned Aerial Vehicle (UAV) relay R. The energy constrained UAV relay harvests energy from signal transmitted by the source through Power Splitting (PS) and further transmits the signal using Amplify and Forward (AF) protocol to the destination users through NOMA. For the proposed network, we derive analytical expressions for outage probability and ergodic capacity. The impact of parameters like PS ratio and UAV altitude is studied on the overall system performance. Further, the performance of the proposed system is also compared with Orthogonal Multiple Access (OMA) scheme. The results obtained show that the energy harvesting capacity of UAV is significantly affected under Linear and Non Linear EH models. The numerical analysis done is verified through Monte Carlo Simulations.
能量受限的无人机中继通过功率分配(PS)从信号源传输的信号中获取能量,并使用放大和转发(AF)协议通过 NOMA 将信号进一步传输给目的地用户。对于提议的网络,我们推导出了中断概率和遍历容量的分析表达式。我们还研究了 PS 比率和无人机高度等参数对整个系统性能的影响。此外,我们还将拟议系统的性能与正交多址(OMA)方案进行了比较。研究结果表明,在线性和非线性 EH 模型下,无人机的能量收集能力会受到很大影响。通过蒙特卡罗模拟验证了所做的数值分析。
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引用次数: 0
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Physical Communication
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