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Design and investigation of filterless sixtuple RoF upconversion system with improved sideband to carrier suppression ratio using MZM extinction ratio variance 利用 MZM 消光比方差设计和研究可提高边带与载波抑制比的无滤波器六倍 RoF 上转换系统
Pub Date : 2024-02-02 DOI: 10.1515/joc-2023-0384
Ajay Kumar, Shelly Singla, Deepak Kedia
In this work, millimeter wave generation of sixtuple frequency scheme using dual parallel Mach–Zehnder modulator configuration has been investigated. The proposed scheme is mathematically analyzed and its performance is evaluated using software optisystem v.18. The vital parameters of both Mach–Zehnder modulator and phase of radio frequency local oscillator are properly adjusted for upconversion of 10 GHz radio frequency drive signal into 60 GHz mm wave. The impact of Mach–Zehnder modulator extinction ratio on radio frequency sideband suppression ratio, optical sideband suppression ratio and third sideband to carrier suppression ratio, is evaluated. An improved 63 dB third sideband to carrier suppression ratio is achieved at increased extinction ratio of Mach–Zehnder modulator. Impact of bias point drift and electrical phase shift on sideband suppression ratios are evaluated. Further, millimeter wave signal of 6–60 GHz tunability is realized by applying radio frequency local oscillator signal from 1 to 10 GHz.
在这项工作中,研究了使用双并行马赫-泽恩德调制器配置产生六倍频毫米波的方案。使用 optisystem v.18 软件对拟议方案进行了数学分析和性能评估。马赫-泽恩德调制器的重要参数和射频本地振荡器的相位都进行了适当调整,以便将 10 GHz 射频驱动信号上变频为 60 GHz 毫米波。评估了马赫-泽恩德调制器消光比对射频边带抑制比、光边带抑制比和第三边带与载波抑制比的影响。提高马赫-泽恩德调制器的消光比后,第三边带与载波的抑制比提高了 63 dB。评估了偏置点漂移和电相移对边带抑制比的影响。此外,通过应用 1 至 10 GHz 的射频本地振荡器信号,实现了 6-60 GHz 的毫米波信号可调谐性。
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引用次数: 0
A modified bandwidth allocation algorithm for XGPON network 经修改的 XGPON 网络带宽分配算法
Pub Date : 2024-01-31 DOI: 10.1515/joc-2023-0379
Mehul C. Patel, A. Mandloi
In the current era of everything online, home-users are demanding high speed internet access at their figure tip. The giga-bit (XGPON) fiber based network has proven its capacity to provide higher speed internet at a light-speed. However in such network effectiveness is directly relies on the bandwidth allocation to the each of the user in timely manner. In this paper, modified bandwidth allocation algorithm is proposed to prove its capacity to support larger user with effective bandwidth allocation. The throughput result of this proposed DBA is carried out in network simulator-3 (NS-3), which is improved by 3 % over the existing DBA like Giant, Proportional DBA etc., at little increase in the delay performance of the TCONT-4 based traffic.
在当前万物皆网的时代,家庭用户对高速互联网接入的要求可谓 "触手可及"。基于千兆位(XGPON)光纤的网络已被证明有能力以光速提供更高速的互联网。然而,这种网络的有效性直接依赖于为每个用户及时分配带宽。本文提出了修改后的带宽分配算法,以证明它能以有效的带宽分配为更多用户提供支持。在网络模拟器-3(NS-3)中对所提出的带宽分配算法的吞吐量进行了测试,结果比现有的带宽分配算法(如 Giant、Proportional DBA 等)提高了 3%,而基于 TCONT-4 的流量的延迟性能却几乎没有增加。
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引用次数: 0
Evaluating DNN and LSTM nonlinear compensators for enhanced performance in DCO-OFDM system 评估 DNN 和 LSTM 非线性补偿器,以提高 DCO-OFDM 系统的性能
Pub Date : 2024-01-31 DOI: 10.1515/joc-2023-0392
Gerges M. Salama, Amira A. Mohamed, H. Abdalla
This study proposes a deep neural network (DNN) and long-short-term memory (LSTM) nonlinear compensators method for direct current (DC)-biased optical orthogonal frequency division multiplexing (DCO-OFDM) in indoor visible light communication (VLC) conventional to handle the nonlinearity and retrieve the high-fidelity signals, and compared in terms of performance and complexity. Unlike the data training after fast Fourier transform in existing deep neural network schemes, this study proposes a scheme that uses the time domain waveform data output by photodiodes for direct equalization. The OFDM signal at the receiving end is equalized, which can mitigate hybrid linear and nonlinear impairments and save spectrum resources without requiring the pilots’ assistance. Compared with conventional receivers based on different guide frequencies and existing DL-based reception methods, the proposed adaptive receiver approach yields better bit error rate performance at different signal-to-noise ratios. This research reveals the extreme sensitivity of the LSTM’s performance to system SNR. LSTM outperforms DNN in high signal-to-noise ratio (SNR) situations, but at low SNR, even with high complexity, LSTM falls short of DNN’s performance.
本研究提出了一种深度神经网络(DNN)和长短期记忆(LSTM)非线性补偿器方法,用于传统室内可见光通信(VLC)中的直流(DC)偏置光正交频分复用(DCO-OFDM),以处理非线性和检索高保真信号,并在性能和复杂性方面进行了比较。与现有深度神经网络方案中快速傅里叶变换后的数据训练不同,本研究提出了一种利用光电二极管输出的时域波形数据进行直接均衡的方案。在接收端对 OFDM 信号进行均衡,可减轻混合线性和非线性损伤,并节省频谱资源,而无需飞行员的协助。与基于不同导频的传统接收器和现有的基于 DL 的接收方法相比,所提出的自适应接收器方法在不同信噪比条件下都能获得更好的误码率性能。这项研究揭示了 LSTM 性能对系统信噪比的极端敏感性。在高信噪比(SNR)情况下,LSTM 的性能优于 DNN,但在低信噪比情况下,即使 LSTM 的复杂度很高,其性能也不及 DNN。
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引用次数: 0
Performance comparison of Duobinary, AMI, CNRZ and CSRZ for next generation FSO communication system 用于下一代 FSO 通信系统的二进制、AMI、CNRZ 和 CSRZ 性能比较
Pub Date : 2024-01-31 DOI: 10.1515/joc-2023-0367
Sidra Ejaz, Sawaiba Shafqat, Kainat Qureshi, Farhan Qamar, Romana Shahzadi, Mudassar Ali
FSO, known as free-space optics, is a competent technology in wireless communication for providing license free spectrum, bandwidth, and high efficiency in next-generation networks. In this paper, an experimental approach is used to deploy FSO channel communication using different intensity modulation schemes such as CSRZ, chirped NRZ, duobinary and AMI. The performance of FSO link is adversely affected by weather conditions like haze, rain, and fog. By using different techniques, it is possible to overcome the effect of atmospheric turbulences. Therefore, four different modulation formats are compared and analyzed by testing different parameters like laser power, range, attenuation, and data rates. Quality of received signal is judged by taking Q-factor, bit error rate (BER), and eye-diagrams. An operating wavelength of 850 nm has been used to simulate the system designs. This paper aims to conclude the best intensity modulation scheme for its use in next generation networks such as 5G where direct deployment of optical fiber is not possible or feasible.
FSO 被称为自由空间光学,是无线通信领域的一项有效技术,可为下一代网络提供免许可频谱、带宽和高效率。本文采用实验方法,利用不同的强度调制方案(如 CSRZ、啁啾 NRZ、二进制和 AMI)部署 FSO 信道通信。FSO 链路的性能会受到雾霾、雨和雾等天气条件的不利影响。通过使用不同的技术,可以克服大气湍流的影响。因此,通过测试激光功率、范围、衰减和数据速率等不同参数,对四种不同的调制格式进行了比较和分析。接收信号的质量通过 Q 因子、误码率和眼图来判断。模拟系统设计使用的工作波长为 850 nm。本文旨在总结出最佳强度调制方案,以用于下一代网络(如 5G),在这些网络中,直接部署光纤是不可能或不可行的。
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引用次数: 0
Analysis of PAPR reduction of optical-OTFS for 256-QAM using companding and clipping–filtering algorithms 利用压缩和削波滤波算法降低 256-QAM 光外径调制解调器 PAPR 的分析
Pub Date : 2024-01-08 DOI: 10.1515/joc-2023-0369
Arun Kumar, S. Chakravarty, Aziz Nanthaamornphong
Abstract The article presents an investigation into Peak-to-Average Power Ratio (PAPR) reduction techniques in Optical Orthogonal Time Frequency Space (O-OTFS) modulation. Focusing on clipping and filtering as well as companding methods, the study explores their efficacy in mitigating PAPR challenges inherent in O-OTFS waveforms. The research evaluates the impact of these techniques on signal quality, particularly in the context of a Rician channel. Clipping and filtering (C&F) are examined for their ability to control amplitude peaks, while companding is analyzed for its role in optimizing dynamic range. The study conducts a comprehensive analysis of Bit Error Rate (BER) and power spectrum density (PSD) under varying conditions, shedding light on how these methods influence the reliability and robustness of OTFS communication. The investigation considers the interplay of these PAPR reduction methods with the unique characteristics of the Rician and Rayleigh channel, which includes a dominant line-of-sight component. The findings contribute valuable insights into designing efficient OTFS modulation systems for real-world scenarios. Ultimately, this research aims to provide a deeper understanding of PAPR reduction strategies in OTFS, offering guidance for optimizing signal processing techniques in communication systems where mitigating PAPR is crucial for achieving high performance and reliable data transmission. It is noted that the proposed C&F and companding algorithms outperform the conventional methods and achieved a PAPR gain of 1–3 dB and BER gain of 10.6–2 dB.
摘要 文章介绍了在光学正交时频空间(O-OTFS)调制中降低峰均功率比(PAPR)技术的研究。研究重点是削波和滤波以及复合方法,探讨它们在减轻 O-OTFS 波形固有的 PAPR 挑战方面的功效。研究评估了这些技术对信号质量的影响,特别是在里柬信道的情况下。研究考察了削波和滤波 (C&F) 控制振幅峰值的能力,同时分析了复合压缩在优化动态范围方面的作用。研究对不同条件下的误码率(BER)和功率谱密度(PSD)进行了全面分析,揭示了这些方法如何影响 OTFS 通信的可靠性和鲁棒性。研究考虑了这些降低 PAPR 的方法与包含主要视距分量的瑞利和瑞利信道独特特性之间的相互作用。研究结果为设计适用于真实世界场景的高效 OTFS 调制系统提供了宝贵的见解。最终,这项研究旨在加深对 OTFS 中 PAPR 降低策略的理解,为优化通信系统中的信号处理技术提供指导,因为在通信系统中,降低 PAPR 对实现高性能和可靠的数据传输至关重要。研究表明,所提出的 C&F 和压缩算法优于传统方法,实现了 1-3 dB 的 PAPR 增益和 10.6-2 dB 的误码率增益。
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引用次数: 0
Turbulence mitigation in FSO based on turbo coding and equalization 基于涡轮编码和均衡的 FSO 湍流缓解技术
Pub Date : 2024-01-04 DOI: 10.1515/joc-2023-0307
Samir M. Hameed
Free space optical (FSO) communication has gained considerable interest for various applications because of its high speed, security, and low power consumption, which seem like promising advantages for the future. FSO systems are severely constrained by turbulence produced by air temperature and density fluctuations, resulting in scattered and distorted light beams. The capacity and bit error rate (BER) of an FSO link can be influenced by fading brought on by turbulence. Turbulence raises the BER, especially under conditions of moderate and high turbulence. The proposed model suggests using a turbo encoder with an intensity modulator at the FSO transmitter and combining maximum likelihood estimation (MLE), zero-forcing equalization (ZFE), and a turbo decoder for the direct detection receiver. However, MLE does an accurate channel estimate, which minimizes fading and turbulence. ZFE improves the quality of the link even further, while turbo coding lowers the bit error rate by increasing redundancy and greatly enhancing error-correcting capability. The Gamma–Gamma turbulence model simulation showed the proposed system’s superiority over other techniques, which achieved a BER of 10−5 with a signal-to-noise ratio (SNR) of 16 dB for moderate and strong turbulence, respectively. Consequently, even though turbo coding adds redundancy to the signal, it can achieve substantial coding gains that increase FSO capacity.
自由空间光学(FSO)通信因其高速、安全和低功耗等未来前景广阔的优势,在各种应用中获得了极大的关注。FSO 系统受到空气温度和密度波动产生的湍流的严重制约,导致光束散射和扭曲。湍流带来的衰减会影响 FSO 链路的容量和误码率(BER)。湍流会提高误码率,尤其是在中度和高度湍流条件下。所提出的模型建议在 FSO 发射机上使用带有强度调制器的涡轮编码器,并在直接检测接收机上结合最大似然估计 (MLE)、零强迫均衡 (ZFE) 和涡轮解码器。然而,MLE 能进行精确的信道估计,从而最大限度地减少衰落和湍流。ZFE 可进一步提高链路质量,而涡轮编码可通过增加冗余和大大提高纠错能力来降低误码率。伽马-伽马湍流模型模拟结果表明,与其他技术相比,拟议系统的误码率更高,在中等湍流和强湍流情况下,误码率分别为 10-5,信噪比(SNR)为 16 dB。因此,尽管涡轮编码增加了信号的冗余度,但它仍能实现可观的编码增益,从而提高 FSO 容量。
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引用次数: 0
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Journal of Optical Communications
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