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Hybrid Spectrum Sensing Enhancement for Cognitive Radio in 6G Radio System 6G 无线电系统中认知无线电的混合频谱传感增强技术
Q3 Engineering Pub Date : 2024-06-17 DOI: 10.3103/s0735272723050023
Nishant Gaur, Nidhi Gour, Himanshu Sharma

Abstract

This article highlights the potential advantages of the proposed hybrid algorithm for 6G. The algorithm’s adaptability addresses the dynamic spectral characteristics of 6G environments, enabling a seamless transition between different spectral conditions. The hybrid approach holds promise for enhancing spectrum utilization, reducing interference, and optimizing overall communication system performance. As 6G technology evolves, the integration of energy detection and cyclostationary spectrum sensing through the hybrid algorithm offers a glimpse into innovative techniques that can shape the future of wireless communication, unlocking the potential for enhanced connectivity, efficiency, and user experience. Several parameters such as the probability of detection (Pd), probability of false alarm (Pfa), bit error rate (BER), and power spectral density (PSD) are compared and analyzed with the conventional spectrum sensing algorithms. We see that the proposed hybrid algorithms obtain a substantial detection performance at the low signal-to-noise ratio (SNR).

摘要 本文强调了所提出的 6G 混合算法的潜在优势。该算法的适应性可应对 6G 环境的动态频谱特性,实现不同频谱条件之间的无缝转换。混合方法有望提高频谱利用率、减少干扰并优化整体通信系统性能。随着 6G 技术的发展,通过混合算法将能量检测和周期频谱传感整合在一起,让我们看到了可塑造未来无线通信的创新技术,释放了增强连接性、效率和用户体验的潜力。我们将检测概率 (Pd)、误报概率 (Pfa)、误码率 (BER) 和功率谱密度 (PSD) 等参数与传统频谱传感算法进行了比较和分析。我们发现,所提出的混合算法在信噪比(SNR)较低的情况下也能获得可观的检测性能。
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引用次数: 0
Analysis of Data Science and AI-enabled 6G Wireless Communication Networks 数据科学和人工智能支持的 6G 无线通信网络分析
Q3 Engineering Pub Date : 2024-06-17 DOI: 10.3103/s0735272723050059
Battula Nancharaiah, Kiran Chand Ravi, Ajeet Kumar Srivastava, K. Arunkumar, Shams Tabrez Siddiqui, M. R. Arun

Abstract

Current networks (such as 4G and the forthcoming 5G networks) may not be capable of fully congregating quickly emerging traffic strains due to the proliferation of smart fatal, infrastructures and the explosion of diverse applications with varying necessities. As a result, 6G network research has already seen participation from both the private sector and the academic community. Recently, an innovative paradigm has emerged for the intelligent design and optimization of 6G networks based on the combination of artificial intelligence (AI) and data science (DS). Therefore, this article proposes an AI-enabled architecture for 6G networks, which is alienated into four layers: intelligent sensing, data analytics, intelligent control, and smart application, to realize patterns sighting, smart resource management, automatic network adjustment, and intelligent service provisioning. We go over the uses of DS&AI methods in 6G networks, such as AI-enhanced mobile edge computing, intelligent mobility, and smart-spectrum management, and how to implement these methods to maximize the network’s performance. We also emphasize key areas for future study and clarifications for AI-enabled 6G networks, together with computational efficiency, algorithm resilience, hardware development, and energy management.

摘要当前的网络(如 4G 和即将推出的 5G 网络)可能无法完全满足快速出现的流量需求,原因是智能终端、基础设施的激增,以及具有不同需求的各种应用的激增。因此,私营企业和学术界都已开始参与 6G 网络研究。最近,一种基于人工智能(AI)和数据科学(DS)相结合的 6G 网络智能设计和优化创新范式应运而生。因此,本文提出了一种面向 6G 网络的人工智能架构,该架构分为四个层次:智能感知、数据分析、智能控制和智能应用,以实现模式监测、智能资源管理、网络自动调整和智能服务供应。我们详细介绍了 DS&AI 方法在 6G 网络中的应用,如 AI 增强的移动边缘计算、智能移动性和智能频谱管理,以及如何实施这些方法以最大限度地提高网络性能。我们还强调了人工智能支持的 6G 网络未来研究和澄清的关键领域,包括计算效率、算法弹性、硬件开发和能源管理。
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引用次数: 0
Evolution of Wireless Communication Networks from 5G to 6G: Future Perspective 无线通信网络从 5G 到 6G 的演变:未来展望
Q3 Engineering Pub Date : 2024-06-17 DOI: 10.3103/s0735272723050047
Mohammad Shabbir Alam, Shams Tabrez Siddiqui, Khalid Ali Qidwai, Aasif Aftab, Mohammad Shahid Kamal, Fazal Imam Shahi

Abstract

Industry 4.0 relies heavily on artificial intelligence (AI) and cloud computing (CC), both of which have been greatly aided by the 5-generation mobile network (5G). However, the arrival of 5G, is seen as a watershed moment that will radically alter the current global trends in wireless communication practices and the lives of the masses. 5G envisions a future where the digital and physical worlds merge. The 6th-generation (6G) wireless communication network will likely unite terrestrial, aerial, and maritime communications into a single, unified system that is both more stable and faster and can accommodate a far larger number of devices with ultra-low latency needs. The purpose of this research is to foresee a scenario in which 6G supersedes 5G as the dominant standard for wireless communication in the years to come. Several advances have been made, but the desired instantaneous global communication and computation with no latency has not arrived yet. In this paper, there are represented the most significant obstacles and difficulties that the transition from 5G to 6G can encounter on the way to realizing these loftier goals. The main purpose of “technology for humanity” is to improve service to the world’s most disadvantaged people, and this paper lays out a plan for 6G that includes the enabling technology infrastructures, obstacles, and research directions that will get us there.

摘要工业 4.0 在很大程度上依赖于人工智能(AI)和云计算(CC),而五代移动网络(5G)对这两方面都有极大的帮助。然而,5G 的到来被视为一个分水岭,它将从根本上改变当前全球无线通信实践和大众生活的趋势。5G 构想了一个数字世界和物理世界融合的未来。第六代(6G)无线通信网络可能会将地面、空中和海上通信整合为一个单一的统一系统,该系统更加稳定、快速,可容纳更多具有超低延迟需求的设备。本研究的目的是预测未来几年 6G 取代 5G 成为无线通信主导标准的情景。虽然已经取得了一些进展,但人们所期望的无延迟瞬时全球通信和计算仍未实现。本文介绍了从 5G 过渡到 6G 在实现这些更崇高目标的道路上可能遇到的最大障碍和困难。技术造福人类 "的主要目的是改善为世界上最弱势人群提供的服务,本文提出了一个 6G 计划,其中包括实现这一目标的有利技术基础设施、障碍和研究方向。
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引用次数: 0
Steganographic Method with Code Control of Information Embedding Based on Multi-level Code Words 基于多级码字的信息嵌入代码控制隐写方法
Q3 Engineering Pub Date : 2024-06-04 DOI: 10.3103/s0735272723040052
A. A. Kobozeva, A. V. Sokolov

Abstract

Effective steganographic methods are an integral part of modern information security systems. At the same time, one of the key requirements for modern steganographic methods, taking into account their needed implementation on mobile and IoT devices, is their low resource consumption maintaining high perception reliability, throughput, and resistance to attacks against the embedded message. The steganographic method with code control of additional information embedding using multi-level code words is presented in this work. A new synthesis approach of multi-level code words with a high selectivity coefficient is developed. It allows us to ensure the specified properties of steganographic messages. Sets of multi-level code words of practically valuable sizes are synthesized and studied. Experimental studies of the effectiveness of the steganographic method with embedding code control based on the presented multi-level code words are conducted. They ensure a high level of its resistance to attacks against the embedded message, by compression, noise superimposing, and blurring, while ensuring sufficient bandwidth and perception reliability in practice.

摘要 有效的隐写方法是现代信息安全系统不可或缺的一部分。同时,考虑到现代隐写方法需要在移动设备和物联网设备上实现,其关键要求之一是低资源消耗,同时保持高感知可靠性、吞吐量和对嵌入信息的抗攻击性。本研究提出了一种利用多级码字对附加信息嵌入进行代码控制的隐写方法。我们开发了一种具有高选择性系数的多级码字的新合成方法。它使我们能够确保隐写信息的特定属性。我们合成并研究了具有实际价值的多级码字集。基于所提出的多级码字,对带有嵌入代码控制的隐写方法的有效性进行了实验研究。实验结果表明,该方法能够很好地抵御通过压缩、噪声叠加和模糊等手段对嵌入信息的攻击,同时在实际应用中还能确保足够的带宽和感知可靠性。
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引用次数: 0
Multiple Reflection Method in Problem of Constructive Synthesis of Polarizers and Phase Shifters Based on Three Non-dissipative Inhomogeneities in Waveguide 基于波导中三种非耗散非均质性的偏振器和移相器构造合成问题中的多重反射法
Q3 Engineering Pub Date : 2024-06-04 DOI: 10.3103/s0735272722110036
Fedor Dubrovka, Andrew Bulashenko

Abstract

The paper presents the results of developing an analytical method for constructive synthesis of waveguide polarizers and phase shifters based on three non-dissipative inhomogeneous elements. The analytical synthesis of such devices was carried out based on solving the problem of electromagnetic wave propagation in a waveguide segment with three non-dissipative inhomogeneities by the method of multiple reflections in the single-wave approximation. The proposed approach allowed us to obtain a clear physical substantiation of the mathematical formulation of conditions for the analytical synthesis of polarizers and phase shifters based on three non-dissipative inhomogeneities in a waveguide. As a result, simple formulas have been obtained that determine the parameters of phase-shifting elements and the electrical distance between them, at which there are no reflections and the desired phase shift is provided. The constructive synthesis of a polarizer is based on the conditions of equality of the required and real admittances of the reactive elements in the waveguide and their derivatives at the central frequency of the operating frequency range. As a result, the optimal geometric dimensions of the device structure were determined. As a result, the optimal geometric dimensions of the device structure are determined. It is shown that a polarizer based on three pins in a square waveguide can provide an operating frequency bandwidth of 10% with electromagnetic energy reflection of less than 1% and a differential phase shift of Δφ = 90° ± 1°, and an operating frequency bandwidth of up to 18% with an admissible reflection of 10% of energy and a differential phase shift of Δφ = 90° ± 2°. The theoretical results are confirmed by high-precision electrodynamic simulation and by experiments on the manufactured prototype of the original controlled X-band polarizer with the maximally flat phase-frequency characteristic based on three symmetrical metal pins inserted into a circular waveguide. The developed analytical method for the constructive synthesis of waveguide polarizers based on three inhomogeneities is intended both for independent use and for obtaining initial values of dimensions of the polarizing device to radically accelerate the search for a global extremum in the process of multiparameter optimization in the high-precision constructive synthesis of such a device at the electrodynamic level, taking into account higher types of waves and the interaction between inhomogeneities on higher types of waves.

摘要 本文介绍了基于三个非耗散非均质元件的波导偏振器和移相器建设性合成分析方法的开发成果。这种装置的分析合成是在用单波近似的多重反射法解决电磁波在具有三个非耗散非均质的波导段中传播问题的基础上进行的。所提出的方法使我们能够对基于波导中三个非耗散非均质的偏振器和移相器分析合成条件的数学公式进行明确的物理论证。因此,我们获得了简单的公式,这些公式确定了移相元件的参数以及它们之间的电气距离,在这个距离上不会产生反射,并能提供所需的相移。偏振器的构造合成基于波导中反应元件的要求导纳和实际导纳相等的条件,以及它们在工作频率范围中心频率上的导数。因此,确定了装置结构的最佳几何尺寸。因此,确定了装置结构的最佳几何尺寸。结果表明,基于方波导中三个引脚的偏振器可提供 10%的工作频率带宽,电磁能量反射率小于 1%,差分相移为 Δφ = 90° ± 1°;工作频率带宽可达 18%,允许能量反射率为 10%,差分相移为 Δφ = 90° ± 2°。高精度电动模拟和基于插入圆形波导的三个对称金属针的具有最大平坦相频特性的原始受控 X 波段偏振器制造原型实验证实了上述理论结果。所开发的基于三个不均匀性的波导偏振器构造合成分析方法既可独立使用,也可用于获得偏振装置的初始尺寸值,以便在考虑到更高类型的波以及不均匀性对更高类型波的相互作用的情况下,在电动层面对此类装置进行高精度构造合成的多参数优化过程中,从根本上加速对全局极值的搜索。
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引用次数: 0
Analysis of Complex Linear Periodically Time-Varying Circuits by Method of Reduced Matrix D-Trees 用还原矩阵 D 树法分析复杂线性时变电路
Q3 Engineering Pub Date : 2024-06-04 DOI: 10.3103/s0735272723060018
Yuriy Shapovalov, Dariya Bachyk, Ksenia Detsyk, Roman Romaniuk, Ivan Shapovalov

Abstract

The paper proposes the method of reduced matrix D-trees, which is an improved version of the method of matrix d-trees. This method is a further development of the application of one of the subcircuit methods, the so-called d-tree method, to the symbolic analysis of linear circuits with constant parameters The method of reduced matrix D-trees, like the d-tree method, provides a significant reduction in the required computer time for modeling circuits, which has a mathematical meaning, consisting in the bringing out of similar terms in the formed complex symbolic expressions. Since there are, in fact, many symbolic terms in such expressions, this reduction in time is due to such factoring. The method is illustrated using a model of a long line consisting of a cascade connection of a large number of elementary links. The results of the computer simulation are also presented.

摘要 本文提出了简化矩阵 D 树方法,它是矩阵 D 树方法的改进版。这种方法是对子电路方法之一,即所谓的 d 树方法在恒定参数线性电路符号分析中应用的进一步发展。缩减矩阵 D 树方法与 d 树方法一样,大大减少了电路建模所需的计算机时间,这具有数学意义,即在形成的复杂符号表达式中找出相似项。由于此类表达式中实际上存在许多符号项,因此时间的减少正是由于这种因式分解。我们用一个由大量基本链路级联组成的长线模型来说明这种方法。同时还介绍了计算机模拟的结果。
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引用次数: 0
Peak to Average Power Ratio Reduction Using Companding Algorithm for NOMA Waveform 使用压缩算法降低 NOMA 波形的峰值与平均功率比
Q3 Engineering Pub Date : 2024-06-04 DOI: 10.3103/s0735272723040039
Arun Kumar, Nishant Gaur

Abstract

Future wireless communication systems can accommodate huge connections and improve spectrum efficiency by using the approach based on non-orthogonal multiple access (NOMA). High peak-to-average power ratio (PAPR) levels can, however, negatively affect NOMA, resulting in decreased system performance and more complicated power amplifiers. This study suggests PAPR reduction in NOMA by utilizing companding methods for 512, 256, and 64 sub-carriers to address this problem. The high peak power of NOMA signals may be effectively compressed by using nonlinear companding techniques, such as μ-law and A-law companding, which reduces distortion and improves overall system dependability. Simulations are used to assess the effectiveness of the suggested companding methods, and the findings show a significant reduction in PAPR assuring an increased bit error rate (BER) effectiveness and transmission resilience in NOMA-based communication systems. The suggested method is contrasted with the conventional A-law (C-A-Law) and μ-law (C-μ-law).

摘要未来的无线通信系统可以通过使用基于非正交多址接入(NOMA)的方法来容纳巨大的连接并提高频谱效率。然而,高峰值平均功率比(PAPR)水平会对 NOMA 产生负面影响,导致系统性能下降和功率放大器更加复杂。本研究建议利用 512、256 和 64 个子载波的压缩方法来降低 NOMA 中的 PAPR,以解决这一问题。使用非线性压缩技术(如 μ-law 和 A-law 压缩)可有效压缩 NOMA 信号的高峰值功率,从而减少失真并提高整个系统的可靠性。仿真评估了所建议的压缩方法的有效性,结果表明 PAPR 显著降低,确保了基于 NOMA 的通信系统中误码率(BER)有效性和传输弹性的提高。建议的方法与传统的 A-律(C-A-律)和 μ-律(C-μ-律)进行了对比。
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引用次数: 0
Effect of Penetrating Radiation on Sensitivity of Magnetotransistors 穿透辐射对磁晶体管灵敏度的影响
Q3 Engineering Pub Date : 2024-06-04 DOI: 10.3103/s0735272723060055
Ivan Vikulin, Oleksandr Nazarenko, Lidiya Vikulina, Pavlo Markolenko

Abstract

An experimental study of the effect of radiation emissions (neutrons, gamma radiation) on the sensitivity of industrial bipolar n-p-n magnetotransistors has been carried out. It has been shown that neutron irradiation leads to defects in the structure, which reduces the effective lifetime of the injected charge carriers and decreases the magnetosensitivity. Gamma radiation with increasing intensity first destroys the surface structural defects and increases the lifetime of carriers and magnetoresponsiveness, and then penetrates deeper forming defects and reducing magnetoresponsiveness. This makes it possible to use gamma radiation with an intensity of up to 107 R as a technological method of increasing magnetosensitivity.

摘要 就辐射(中子、伽马辐射)对工业双极 n-p-n 磁晶体管灵敏度的影响进行了实验研究。研究表明,中子辐照会导致结构缺陷,从而缩短注入电荷载流子的有效寿命,降低磁灵敏度。强度不断增加的伽马射线首先会破坏表面结构缺陷,延长载流子的有效寿命并提高磁感应强度,然后会穿透到更深处,形成缺陷并降低磁感应强度。因此,可以使用强度高达 107 R 的伽马射线作为提高磁感应强度的技术方法。
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引用次数: 0
Comparative Study of Block Ciphers Implementation for Resource-Constrained Devices (Review) 针对资源受限设备的块密码实现比较研究(综述)
Q3 Engineering Pub Date : 2024-04-16 DOI: 10.3103/s0735272723050011
Mahendra Shridhar Naik, Desai Karanam Sreekantha, Kanduri V. S. S. S. S. Sairam

Abstract

Lightweight cryptography (LWC) is critical for securing data between devices with limited resources. In this paper, we consider hardware-based block ciphers (BC). The BCs are thoroughly described using the substitution permutation network (SPN) and Feistel network (FN) structures. A detailed summary of each SPN and FN-based BC is provided. Furthermore, the paper compares and thoroughly analyses the performance analysis of modern SPN and FN-based BCs. For each block cipher, performance measures such as chip area (slices), frequency, latency, throughput, and hardware efficiency are reviewed. The paper also recommends appropriate ciphers for the greatest and lowest performance indicators. Among BCs, the PRINCE cipher has minimal latency and great throughput. The research also reveals that the LED and PRESENT ciphers are more compact than other ciphers. The open research challenges are also presented with a forward-looking perspective.

摘要 轻量级密码学(LWC)对于确保资源有限的设备之间的数据安全至关重要。本文考虑了基于硬件的块密码(BC)。本文使用置换置换网络(SPN)和费斯特网络(FN)结构对这些块密码进行了详尽的描述。本文提供了每种基于 SPN 和 FN 的 BC 的详细摘要。此外,本文还比较并全面分析了基于 SPN 和 FN 的现代 BC 的性能分析。对每种块密码的芯片面积(片)、频率、延迟、吞吐量和硬件效率等性能指标进行了审查。论文还推荐了性能指标最高和最低的适当密码。在 BC 中,PRINCE 密码具有最小的延迟和最大的吞吐量。研究还发现,LED 和 PRESENT 密码比其他密码更紧凑。研究还以前瞻性的视角提出了有待解决的研究难题。
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引用次数: 0
Deep Learning Framework for Analysis of Health Factors in Internet-of-Medical Things 用于分析医疗物联网中健康因素的深度学习框架
Q3 Engineering Pub Date : 2024-04-16 DOI: 10.3103/s0735272723030056
Syed Hauider Abbas, Ramakrishna Kolikipogu, Vuyyuru Lakshma Reddy, Jnaneshwar Pai Maroor, Deepak Kumar, Mangal Singh

Abstract

The introduction of IoT technologies, such as those used in remote health monitoring applications, has revolutionized conventional medical care. Furthermore, the approach utilized to obtain insights from the scrutiny of lifestyle elements and activities is crucial to the success of tailored healthcare and disease prevention services. Intelligent data retrieval and classification algorithms allow for the investigation of disease and the prediction of aberrant health states. The convolutional neural network (CNN) strategy is utilized to forecast such anomaly because it can successfully recognize the knowledge significant to disease anticipation from amorphous medical heath records. Conversely, if a fully coupled network-topology is used, CNN guzzles a huge memory. Furthermore, the complexity analysis of the model may rise as the number of layers grows. Therefore, we present a CNN target recognition and anticipation strategy based on the Pearson correlation coefficient (PCC) and standard pattern activities to address these shortcomings of the CNN model. It is built in this framework and used for classification purposes. In the initial hidden layer, the most crucial health-related factors are chosen, and in the next, a correlation-coefficient examination is performed to categorize the health factors into positively and negatively correlated groups. Mining the occurrence of regular patterns among the categorized health parameters also reveals the behavior of regular patterns. The model output is broken down into obesity, hypertension, and diabetes-related factors with known correlations. To lessen the impact of the CNN-typical knowledge discovery paradigm, we use two separate datasets. The experimental results reveal that the proposed model outperforms three other machine learning techniques while requiring less computational effort.

摘要 物联网技术(如远程健康监测应用中使用的技术)的引入彻底改变了传统的医疗保健。此外,从对生活方式要素和活动的检查中获得洞察力的方法,对于量身定制的医疗保健和疾病预防服务的成功至关重要。智能数据检索和分类算法可用于调查疾病和预测异常健康状态。卷积神经网络(CNN)策略可用于预测此类异常情况,因为它能从无定形的医疗健康记录中成功识别出对疾病预测有重要意义的知识。相反,如果使用完全耦合的网络拓扑结构,卷积神经网络会耗费大量内存。此外,随着层数的增加,模型的复杂性分析也会上升。因此,我们提出了一种基于皮尔逊相关系数(PCC)和标准模式活动的 CNN 目标识别和预测策略,以解决 CNN 模型的这些缺点。它建立在此框架内,用于分类目的。在初始隐藏层,选择最关键的健康相关因素,然后进行相关系数检验,将健康因素分为正相关和负相关两组。在分类的健康参数中挖掘规律性模式的出现也揭示了规律性模式的行为。模型输出被细分为具有已知相关性的肥胖、高血压和糖尿病相关因素。为了减少 CNN 典型知识发现范式的影响,我们使用了两个独立的数据集。实验结果表明,所提出的模型优于其他三种机器学习技术,同时所需的计算量也较少。
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引用次数: 0
期刊
Radioelectronics and Communications Systems
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