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Fuzzy C-Means–Based User Clustering for Channel Interference Minimization in Massive MIMO-NOMA 基于模糊c均值的海量MIMO-NOMA信道干扰最小化用户聚类
IF 1.8 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-02-06 DOI: 10.1002/dac.70436
R. Ramalakshmi, S. Tamil Selvi

Future wireless connections may rely heavily on multiple-input multiple-output (MIMO) devices as a major supporting technology. Nevertheless, it is not clear whether there are performance drops in MIMO circuits as a result of interference. As a relatively recent addition to the multiaccess family, nonorthogonal multiple access (NOMA) is expected to play a significant role in 5G wireless systems. The opportunity for increasing spectral effectiveness and improving wireless connectivity for more people with an amalgamation of NOMA and multiantenna MIMO is substantial. The gain of massive MIMO NOMA over other techniques increases linearly by a factor of M both with the number of users and with the number of antennas at the BS. The suggested approach organizes individuals in a NOMA group into a single group or multiple ones to increase the network's sum-throughput by taking use of the channel gain disparities among them. Then, we calculate the best power distribution strategy that increases the network's bandwidth by maximizing its sum-throughput each NOMA clustering for a specific set of NOMA nodes.

未来的无线连接可能严重依赖多输入多输出(MIMO)设备作为主要支持技术。然而,目前尚不清楚MIMO电路是否会因干扰而导致性能下降。作为多址家族中相对较新的成员,非正交多址(NOMA)预计将在5G无线系统中发挥重要作用。通过NOMA和多天线MIMO的融合,为更多人提高频谱效率和改善无线连接的机会是巨大的。与其他技术相比,大规模MIMO NOMA的增益随着用户数量和天线数量的增加而线性增加M倍。建议的方法将NOMA组中的个人组织成一个组或多个组,通过利用它们之间的信道增益差异来增加网络的总吞吐量。然后,我们计算出最佳的功率分配策略,该策略通过最大化特定一组NOMA节点的每个NOMA集群的总吞吐量来增加网络带宽。
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引用次数: 0
Dynamic Power-Aware Routing and Flow Management for Scalable 3D Wireless Network-on-Chip Communication Systems 可扩展三维无线片上网络通信系统的动态功率感知路由和流量管理
IF 1.8 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-02-06 DOI: 10.1002/dac.70427
T. R. Dinesh Kumar, Vijayalakshmi Nanjappan, Dhanalakshmi Gopal, S. Krishnakumar

The purpose of this research is to develop an efficient and scalable communication framework for 3D Wireless Network-on-Chip (WiNoC) systems by introducing dynamic, power-aware routing and intelligent flow management techniques. Traditional routing approaches often suffer from high power consumption, congestion, and limited adaptability, which hinder the performance and energy efficiency of densely integrated, multi-layer chip architectures. To overcome these limitations, this work proposes DynaQ-NoC, an intelligent and scalable communication framework that leverages reinforcement learning to enable routers to make autonomous, context-aware routing decisions based on local traffic, thermal, and power conditions. At its core, DynaQ-NoC employs a Q-learning-based dynamic routing algorithm integrated with adaptive flow control mechanisms to balance network load, mitigate thermal hotspots in real-time, and ensure energy-efficient communication. Intelligent routing decisions are made dynamically to avoid congested or overheated regions, improving latency and reliability. Furthermore, DynaQ-NoC introduces energy-saving features such as sleep-mode activation for idle links and efficient link utilization policies, which significantly contribute to reduced static energy consumption. The proposed system was implemented using Python and evaluated with a cycle-accurate 3D WiNoC simulator using realistic traffic patterns. Results demonstrate that DynaQ-NoC reduces power consumption by up to 30% compared to baseline methods and achieves an average power consumption of 82.3 mW. It also reduces latency by approximately 16% and maintains a routing decision accuracy of up to 92%. The system sustains a packet delivery ratio of over 95% under moderate traffic loads while ensuring high throughput scalability. These results validate DynaQ-NoC's potential for enhancing system reliability, thermal stability, and energy efficiency in next-generation multi-core and 3D integrated circuits.

本研究的目的是通过引入动态、功率感知路由和智能流管理技术,为3D无线片上网络(WiNoC)系统开发一个高效、可扩展的通信框架。传统的路由方法通常存在高功耗、拥塞和有限的适应性等问题,这些问题影响了密集集成的多层芯片架构的性能和能效。为了克服这些限制,这项工作提出了DynaQ-NoC,这是一种智能和可扩展的通信框架,利用强化学习使路由器能够根据本地流量、温度和电源条件做出自主的、上下文感知的路由决策。DynaQ-NoC的核心是采用基于q学习的动态路由算法,并结合自适应流量控制机制来平衡网络负载,实时缓解热热点,确保节能通信。动态地做出智能路由决策,以避免拥塞或过热区域,提高延迟和可靠性。此外,DynaQ-NoC还引入了节能功能,如空闲链路的睡眠模式激活和有效的链路利用策略,这些功能大大有助于减少静态能耗。所提出的系统是使用Python实现的,并使用真实的交通模式使用周期精确的3D WiNoC模拟器进行评估。结果表明,与基准方法相比,DynaQ-NoC可将功耗降低30%,平均功耗为82.3 mW。它还减少了大约16%的延迟,并保持了高达92%的路由决策精度。在中等流量负载下,系统在保证高吞吐量可扩展性的同时,仍能保持95%以上的包投递率。这些结果验证了DynaQ-NoC在下一代多核和3D集成电路中提高系统可靠性、热稳定性和能效的潜力。
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引用次数: 0
Design, Optimization, and Validation of a Compact Wearable Antenna for Internet of Things Applications in Smart Textile 智能纺织品中物联网应用的紧凑型可穿戴天线的设计、优化和验证
IF 1.8 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-02-06 DOI: 10.1002/dac.70433
Ali Hassan, N. Nizam Uddin, Asim Quddus, Syed Rizwan Hassan

Wearable antennas are essential for the deployment of Internet of Things (IoT) applications in the fields of smart textiles, e-healthcare, and wireless body area networks (WBANs). This study presents the design, fabrication, and performance analysis of a microstrip patch antenna with an overall physical size of 42 × 40 mm2 (≈0.34λ0 × 0.32λ0 at 2.4 GHz) utilizing four flexible substrates: leather, cotton, denim, and Dyneema, with a focus on 2.4-GHz ISM band applications. The methodology involves both simulation and experimentation using CST Studio Suite to evaluate parameters such as reflection coefficient, operational bandwidth, gain, and radiation efficiency. Among the investigated substrates, the leather-based antenna exhibits the best overall performance, achieving a measured operational bandwidth of 2.26–2.63 GHz (370 MHz) with a minimum reflection coefficient of −36 dB at 2.41 GHz, along with a simulated radiation efficiency of 90% and a simulated gain of 2 dBi. Parametric optimization of leather further enhanced its characteristics. Furthermore, low detuning and reliable impedance matching are observed during bending analysis performed both in free space (off-body) and on-body (including the author's arm, leg, and chest), demonstrating the robustness of the design for real-world applications. Specific absorption rate (SAR) analysis with values (1 g avg: 0.393 W/kg on the arm; 10 g avg: 0.0619 W/kg on the chest) confirms compliance with IEEE and ICNIRP safety standards. The link budget analysis (LBA) for data rates (0.5, 1, and 10 Mbps) confirms the reliable connectivity for short-range wearable smart applications. As compared with state-of-the-art designs, the leather substrate antenna exhibits enhanced flexibility, efficiency, and durability, making it an ideal candidate for deploying high-performance, safety-compliant wearable systems.

可穿戴天线对于在智能纺织品、电子医疗和无线身体区域网络(wban)等领域部署物联网(IoT)应用至关重要。本研究介绍了一种整体物理尺寸为42 × 40 mm2(≈0.34λ0 × 0.32λ0, 2.4 GHz)的微带贴片天线的设计、制造和性能分析,该天线采用四种柔性基板:皮革、棉花、牛仔布和Dyneema,重点是2.4 GHz ISM频段应用。该方法包括使用CST Studio Suite进行模拟和实验,以评估反射系数、操作带宽、增益和辐射效率等参数。在所研究的衬底中,皮革基天线表现出最佳的综合性能,实现了2.26-2.63 GHz (370 MHz)的测量工作带宽,2.41 GHz时的最小反射系数为- 36 dB,模拟辐射效率为90%,模拟增益为2 dBi。皮革的参数化优化进一步增强了皮革的特性。此外,在自由空间(离体)和在身(包括作者的手臂、腿和胸部)进行弯曲分析时,观察到低失谐和可靠的阻抗匹配,证明了该设计在实际应用中的鲁棒性。比吸收率(SAR)分析值(手臂上1g平均值:0.393 W/kg;胸部10g平均值:0.0619 W/kg)确认符合IEEE和ICNIRP安全标准。数据速率(0.5、1和10mbps)的链路预算分析(LBA)证实了短距离可穿戴智能应用的可靠连接。与最先进的设计相比,皮革基板天线具有更高的灵活性、效率和耐用性,使其成为部署高性能、符合安全标准的可穿戴系统的理想选择。
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引用次数: 0
Correction to “Parameter Estimation Using Multiple Signal Classification Algorithm for Joint Sensing and Communication System” 对“联合传感与通信系统多信号分类算法参数估计”的修正
IF 1.8 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-02-06 DOI: 10.1002/dac.70449

Tharaniya, R. and Ananthi, G. (2026), Parameter Estimation Using Multiple Signal Classification Algorithm for Joint Sensing and Communication System. International Journal of Communication Systems, 39: e70315, https://doi.org/10.1002/dac.70315.

The Acknowledgments section was not included. The acknowledgments should read as follows:

Acknowledgments

The authors extend their due thanks to the Thiagarajar College of Engineering management, Madurai, India, for their extensive research facilities, and the financial backing from the Thiagarajar Research Fellowship (TRF) scheme (File. no.: TCE/RD/TRF/2024/10 dated 09-02-2024) is gratefully acknowledged.

We apologize for this error.

陈志强,陈志强,陈志强,(2006),基于多信号分类算法的联合传感与通信系统参数估计。国际通信系统学报,39:e70315, https://doi.org/10.1002/dac.70315。没有包括致谢部分。致谢内容如下:致谢作者感谢印度马杜赖Thiagarajar工程管理学院广泛的研究设施和Thiagarajar研究奖学金(TRF)计划的财政支持(文件1)。否。(TCE/RD/TRF/2024/10,日期:09-02-2024),特此致谢。我们为这个错误道歉。
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引用次数: 0
Design of Manifolds Learning-Aided SCMA-OTFS With Index Modulation for Coordinated Multipoint Vehicular Communication Systems 基于索引调制的流形学习辅助SCMA-OTFS协同多点车载通信系统设计
IF 1.8 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-02-06 DOI: 10.1002/dac.70431
Aniruddh Kumar, Akash Agarwal, Richa Agrawal

This work introduces a new SCMA-OTFS (Sparse Code Multiple Access–Orthogonal Time Frequency Space) with index modulation (IM) for coordinated multipoint vehicular communication systems. The system is modeled as an uplink CoMP system with remote radio head and baseband unit. Users' messages are divided into data bits and index bits. The SCMA codebook encodes the data bits, while index bits specify active resources. Each data bit is converted into SCMA codewords using a variational transformer autoencoder with manifolds learning (VAE-MFL)-based codebook mapping. The SCMA-IM aims to enhance spectrum efficiency and throughput by combining index modulation with the SCMA method. It uses the codebook index to encode information, allowing for extra information representation. The system uses SCMA and index modulation to encode data, identifying users by sparse codewords and index locations. The system then transforms the delay-Doppler domain signal into the time domain to obtain a time domain symbol vector. These vectors travel across the wireless channel to a remote ratio head (RRH) mounted on road infrastructure. The RRHs wirelessly connect to a centralized baseband unit (BBU) after receiving signals from every user. The time-domain symbol is estimated using a time-domain LMMSE (linear minimum mean squared error)-based OTFS detection technique. The delay-Dopper domain received symbol is acquired, and user bits are recovered using SCMA decoding. A probabilistic recurrent-based SCMA decoder is introduced to precisely recover user bits. As a result, ABER values of 2.00E-05 for proposed bound and 2.25E-05 for proposed Simulation are achieved with the proposed transmission power of 31 dBm.

本文介绍了一种新的基于索引调制的SCMA-OTFS(稀疏码多址正交时频空间)协调多点车载通信系统。该系统被建模为具有远程无线电头和基带单元的上行CoMP系统。用户消息分为数据位和索引位。SCMA码本对数据位进行编码,而索引位指定活动资源。使用基于流形学习(vee - mfl)的码本映射的变分变压器自编码器将每个数据位转换为SCMA码字。SCMA- im旨在通过将索引调制与SCMA方法相结合来提高频谱效率和吞吐量。它使用码本索引对信息进行编码,从而允许额外的信息表示。系统采用SCMA和索引调制对数据进行编码,通过稀疏码字和索引位置识别用户。然后将延时多普勒域信号变换到时域,得到时域符号向量。这些矢量通过无线信道传播到安装在道路基础设施上的远程比率头(RRH)。rrh接收到来自每个用户的信号后,通过无线方式连接到一个集中的BBU (baseband unit)。使用基于时域LMMSE(线性最小均方误差)的OTFS检测技术估计时域符号。获取延迟-多普勒域接收符号,并使用SCMA解码恢复用户位。引入了一种基于概率递归的SCMA解码器来精确地恢复用户比特。结果表明,在31 dBm的发射功率下,提出的绑定ABER值为2.00E-05,提出的仿真ABER值为2.25E-05。
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引用次数: 0
Performance Analysis of SDM, WDM, and PDM Techniques in High-Capacity FSO Systems Under Diverse Atmospheric Conditions 不同大气条件下大容量FSO系统中SDM、WDM和PDM技术的性能分析
IF 1.8 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-02-05 DOI: 10.1002/dac.70415
Hemanth Jaisankar, Lokeswaran Kameswaran, K. L. Syam Rajha Sundar, Tangudu Ramji, Vinoth Babu Kumaravelu, Poongundran Selvaprabhu

With growing demand for fast, reliable, and flexible communication, free-space optical (FSO) systems have seen significant advancements. However, weather and altitude have a significant impact on their performance, which requires an optimum system design. Using OptiSystem simulations, this research compares four hybrid techniques using three different multiplexings: space division multiplexing (SDM), wavelength division multiplexing (WDM), and polarization division multiplexing (PDM). With a maximum quality factor (Q-factor) of 149.47 and 0% bit error rate (BER) in clear circumstances, the WDM and SDM hybrid system performs the best among the evaluated setups. In ideal conditions, the more complicated WDM, SDM, and PDM configurations perform competitively, but interchannel interference causes them to suffer under high attenuation. WDM and SDM system maintain a Q-factor of 20 and are the most robust in severe weather conditions like fog and torrential rain. All things considered, the WDM and SDM system provides the best balance between performance, complexity, and practical dependability for FSO communication. While the proposed system model 1 introduces a scalable, forward-looking architecture, it also offers trade-offs between capacity and robustness that can be fine-tuned for future high-performance FSO networks.

随着对快速、可靠和灵活通信的需求不断增长,自由空间光学(FSO)系统取得了重大进展。然而,天气和海拔高度对它们的性能有重大影响,这需要一个最佳的系统设计。通过OptiSystem仿真,本研究比较了使用三种不同复用方式的四种混合技术:空分复用(SDM)、波分复用(WDM)和极化复用(PDM)。WDM和SDM混合系统的最大质量因子(q因子)为149.47,在清晰环境下的误码率(BER)为0%,在评估的设置中表现最好。在理想条件下,更复杂的WDM、SDM和PDM配置具有竞争性,但信道间干扰使它们在高衰减下受到影响。WDM和SDM系统保持20的q因子,在雾和暴雨等恶劣天气条件下最稳定。综上所述,WDM和SDM系统为FSO通信提供了性能、复杂性和实际可靠性之间的最佳平衡。虽然提出的系统模型1引入了可扩展的前瞻性架构,但它也提供了容量和鲁棒性之间的权衡,可以为未来的高性能FSO网络进行微调。
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引用次数: 0
An Overview of Deep Learning Techniques for Big Data IoT Applications 大数据物联网应用的深度学习技术概述
IF 1.8 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-02-04 DOI: 10.1002/dac.70418
Gagandeep Kaur, Vipin Balyan, Sindhu Hak Gupta

We are in the era of internet of things (IoT) technology where billions of smart devices communicate over the internet. The rapid development of the IoT has led to generation of huge amounts of data across broad range of fields. Analyzing this big IoT data is crucial for extracting valuable insights. These insights enable predictive vision, which in turn guide control decisions to enhance system performance and improve living standards. Although many deep learning (DL) models have been developed for IoT data analysis, existing literature often underlines domain-specific applications, overseeing the need for a universal model selection framework. This paper aims to bridge that gap by offering a concise overview and a comparative framework to guide the selection of DL models based on IoT data characteristics, application needs, and hardware limitations. This paper presents an overview of IoT architecture and characteristics of IoT big data. It also discusses the computing infrastructures used for IoT data analytics. The role of deep learning in IoT big data analytics is then outlined, followed by a discussion of key deep learning model categories to process IoT data. Various IoT applications employing DL methods are presented. Finally, the challenges faced during the development of smart IoT systems, along with the future research direction, are outlined.

我们正处于物联网(IoT)技术时代,数十亿智能设备通过互联网进行通信。物联网的快速发展导致了在广泛领域产生大量数据。分析这些大物联网数据对于提取有价值的见解至关重要。这些洞察使预测视觉成为可能,进而指导控制决策,以提高系统性能和生活水平。尽管已经为物联网数据分析开发了许多深度学习(DL)模型,但现有文献通常强调特定领域的应用,监督对通用模型选择框架的需求。本文旨在通过提供一个简明的概述和一个比较框架来指导基于物联网数据特征、应用需求和硬件限制的深度学习模型的选择,从而弥合这一差距。本文概述了物联网架构和物联网大数据的特点。它还讨论了用于物联网数据分析的计算基础设施。然后概述了深度学习在物联网大数据分析中的作用,随后讨论了处理物联网数据的关键深度学习模型类别。介绍了采用深度学习方法的各种物联网应用。最后,概述了智能物联网系统发展过程中面临的挑战,以及未来的研究方向。
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引用次数: 0
Dynamic Autoencoder-Based Framework for Performance Enhancement in OFDM Systems Using CNN and Attention Mechanisms 基于动态自编码器的OFDM系统性能增强框架,采用CNN和注意机制
IF 1.8 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-02-04 DOI: 10.1002/dac.70401
Rajarajan P, Madona B. Sahaai

Traditional orthogonal frequency division multiplexing (OFDM) systems face significant performance degradation under dynamic channel conditions due to fixed channel estimation and static transmission parameters. Existing autoencoder-based OFDM models improve end-to-end learning but lack adaptive mechanisms to handle varying SNR and multipath fading effectively. In this manuscript, dynamic autoencoder-based framework for performance enhancement in OFDM systems using CNN and attention mechanisms (DAF-OFDM-CNN) is proposed. This paper proposes a dynamic autoencoder-based framework to enhance the performance and reliability of OFDM systems under fluctuating signal-to-noise ratio (SNR) conditions. The framework integrates convolutional neural networks (CNN) and an attention mechanism within autoencoder architecture to improve feature extraction, channel estimation, and adaptive transmission. The system dynamically prioritizes important signal features, enabling effective data recovery and robust communication in multipath fading environments. Simulation results demonstrate that the proposed model significantly improves error rates, throughput, and latency compared to conventional OFDM systems, confirming its potential for next-generation wireless communication networks.

由于固定的信道估计和静态的传输参数,传统的正交频分复用(OFDM)系统在动态信道条件下的性能明显下降。现有的基于自编码器的OFDM模型改进了端到端学习,但缺乏有效处理变化信噪比和多径衰落的自适应机制。本文提出了一种基于动态自编码器的框架,用于利用CNN和注意机制增强OFDM系统的性能(DAF-OFDM-CNN)。为了提高OFDM系统在波动信噪比条件下的性能和可靠性,提出了一种基于动态自编码器的框架。该框架在自编码器架构中集成了卷积神经网络(CNN)和注意机制,以改进特征提取、信道估计和自适应传输。该系统动态地对重要信号特征进行优先级排序,在多径衰落环境下实现有效的数据恢复和健壮的通信。仿真结果表明,与传统的OFDM系统相比,该模型显著提高了误码率、吞吐量和延迟,证实了其在下一代无线通信网络中的潜力。
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引用次数: 0
Super Wideband Miniaturized Compact Antenna Design With Quadruple Notched Band Characteristics 具有四倍陷波带特性的超宽带小型化紧凑天线设计
IF 1.8 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-02-03 DOI: 10.1002/dac.70416
Surajit Mukherjee, Avisankar Roy, Tanweer Ali, Surajit Kundu, Sunandan Bhunia

A novel microstrip line-fed super wideband antenna associated with quadruple notched band properties is demonstrated in this article. The antenna configuration is based on a partial ground back plane with a curved end and a decagon geometric patch. The physical volume of the proposed design is 22×26×1.57mm3$$ 22times 26times 1.57 {mathrm{mm}}^3 $$. Three split-ring slots are etched onto the patch surface to produce three notched bands (3.65–4.6, 5.42–5.94, and 6.97–8 GHz). Additionally, a “T”-shaped stub resonator placed beside the feed line introduces a fourth notched band at 9.47–10.85 GHz. The functional impedance bandwidth (VSWR ≤ 2) of the constructed antenna spans from 2.8 to 28 GHz exhibiting percentage bandwidth of 163%. The suggested antenna prototype is constructed and successfully measured using standard microwave measuring techniques and compared with simulated findings. The peak gain of the antenna is measured as 6.25 dBi and the gains of the four notched bands are found as −8.2, −5.4, −3.5 and −1.1 dBi, respectively. The developed antenna may be utilized for broadband wireless communication to mitigate C-band satellite links, higher WLAN, X-band satellite downlink communications, and amateur radio applications.

介绍了一种具有四倍陷波带特性的微带馈线超宽带天线。该天线结构基于具有弯曲末端和十角形几何贴片的部分地背景平面。拟议设计的物理体积为22 × 26 × 1.57 mm 3 $$ 22times 26times 1.57 {mathrm{mm}}^3 $$。在贴片表面蚀刻三个开环槽,产生三个缺口频段(3.65-4.6 GHz, 5.42-5.94 GHz和6.97-8 GHz)。此外,放置在馈线旁边的“T”形短段谐振器在9.47-10.85 GHz引入了第四个陷波带。所构建的天线的功能阻抗带宽(VSWR≤2)范围为2.8 ~ 28 GHz,百分比带宽为163%. The suggested antenna prototype is constructed and successfully measured using standard microwave measuring techniques and compared with simulated findings. The peak gain of the antenna is measured as 6.25 dBi and the gains of the four notched bands are found as −8.2, −5.4, −3.5 and −1.1 dBi, respectively. The developed antenna may be utilized for broadband wireless communication to mitigate C-band satellite links, higher WLAN, X-band satellite downlink communications, and amateur radio applications.
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引用次数: 0
Compact Quad-Port Dual-Polarized Wideband MIMO Antenna With Rotational-Symmetry Decoupling Element for n77/n78 Band Diversity 带旋转对称解耦元件的紧凑型四端口双极化宽带MIMO天线,用于n77/n78波段分集
IF 1.8 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-02-02 DOI: 10.1002/dac.70430
R. K. Rabin Kanisha, C. Rimmya, M. Ganesh Madhan

This article introduces a compact quad-port wideband MIMO antenna intended for the globally popular 5G n77/78 NR bands. The proposed MIMO antenna is dedicated for densely packed 5G smart devices and beyond. A simple printed monopole antenna with a U-shaped slot and a slit positioned at the second radiating edge is used as the antenna unit element (29.72 × 29.72 mm2) for the 2 × 2 MIMO. The proposed antenna has an overall dimension of 67.21 × 67.21 mm2, fabricated using the commercial FR4 substrate of thickness 1.57 mm. The orthogonally fed radiators in MIMO demonstrate polarization-diverse feature responding to dual linear polar component (dual LP) (horizontal and vertical). The spatial diversity nature of the proposed four-port MIMO is met through the novel hash-like shaped metamaterial-inspired rotationally symmetric decoupling element (DE). The DE, through its meticulous design and positioning at the functional plane (co-plane) of the MIMO radiator, helped maintain a minimal port isolation (sij, where i ≠ j) of > 20 dB throughout the −10-dB impedance bandwidth of 1.66 GHz (2.58–4.24 GHz), centering the popular 5G NR band of 3.5 GHz. The DE even aided improvement in reflection coefficient (sij, where i = j) from −19.87 to −44.01 dB, along with improved maximum radiation gain of 4.28 dBi at 3.5 GHz, with negligible impact toward the antenna efficiency metrics. The associated MIMO metrices, such as envelope correlation coefficient (ECC) (< 0.0001) and diversity gain (DG) (> 9.99 dB), estimated from far field results also complied to the acceptable range. Above all, the measured outcomes of the proposed antenna comparably mimic the simulation results carried out using Computer Simulation Technology (CST). In addition, equivalent circuit model for the complete four-port MIMO with the DE realized in Advanced Design System (ADS) is also reported in this article. Further, the proposed MIMO antenna is also verified for its viability to real-world device integration and specific absorption rate (SAR) analysis in the CST simulator.

本文介绍了一种紧凑型四端口宽带MIMO天线,用于全球流行的5G n77/78 NR频段。拟议的MIMO天线专用于密集的5G智能设备及其他设备。2 × 2 MIMO的天线单元单元(29.72 × 29.72 mm2)采用简单的印刷单极天线,其u形槽和位于第二辐射边缘的狭缝。该天线的总尺寸为67.21 × 67.21 mm2,采用厚度为1.57 mm的商用FR4衬底制造。MIMO中的正交馈电辐射体表现出对双线性极性分量(双LP)(水平和垂直)的极化多样性特征。提出的四端口MIMO的空间分异特性是通过新颖的哈希形状超材料启发旋转对称解耦元件(DE)来满足的。DE通过其在MIMO散热器的功能面(共面)的精心设计和定位,帮助在1.66 GHz (2.58-4.24 GHz)的- 10 dB阻抗带宽范围内保持最小的端口隔离(sij,其中i≠j) > 20db,以流行的5G NR频段3.5 GHz为中心。DE甚至有助于将反射系数(sij,其中i = j)从- 19.87提高到- 44.01 dB,同时在3.5 GHz时将最大辐射增益提高到4.28 dBi,对天线效率指标的影响可以忽略不计。从远场结果估计的相关MIMO指标,如包络相关系数(ECC) (< 0.0001)和分集增益(DG) (> 9.99 dB)也符合可接受范围。最重要的是,所提出的天线的测量结果与使用计算机仿真技术(CST)进行的仿真结果相当相似。此外,本文还报道了在先进设计系统(ADS)中实现的带有DE的完整四端口MIMO等效电路模型。此外,所提出的MIMO天线也在CST模拟器中验证了其在实际设备集成和比吸收率(SAR)分析中的可行性。
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引用次数: 0
期刊
International Journal of Communication Systems
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