Electronics and Telecommunication
Journals
- International Journal of VLSI Design and Technology 0 articles
- International Journal of Radio Frequency Design 0 articles
- International Journal of Digital Communication and Analog Signals 32 articles
- International Journal of Embedded Systems and Emerging Technologies 30 articles
- International Journal of Telecommunications & Emerging Technologies 30 articles
- International Journal of Satellite Communication & Remote Sensing 0 articles
- International Journal of Digital Electronics 0 articles
- International Journal of Broadband Cellular Communication 30 articles
- International Journal of Microwave Engineering and Technology 32 articles
Recently published
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Right Hand Circularly Polarized Ku-Band Patch Antenna withImproved Axial Ratio Bandwidth for Small Satellite Application
Abstract: This study presents the design and fabrication of a Ku-band patch antenna that achieves right-hand circular polarization (RHCP) with an enhanced axial ratio (AR) bandwidth. The proposed antenna consists of two circular split ring resonators(SRRs) and a T-shaped feedline. To achieve circular polarization, circular split ring resonators were placed symmetrically at both ends of the T-shaped feedline. The proposed antenna has been carefully designed and simulated using the CST Microwave …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 56–63 Read article
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IoT Antenna Design for Emerging Technologies: A Study
Abstract: The relentless expansion of the Internet of Things (IoT) is fundamentally transforming industries and daily life, interlinking billions of diverse devices. At the heart of this revolution lies the antenna – the critical interface that enables wireless connectivity, yet often presents the most significant design challenge. This paper explores the intricate landscape of IoT antenna design, addressing the multi-faceted demands driven by device miniaturization, pervasive connectivity, energy efficiency, and cost-effectiveness. …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 39–55 Read article
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4 X 4 Multi-band MIMO Antenna: A Study
Abstract: The insatiable demand for higher data rates and improved connectivity in modern wireless communication systems critically relies on Multiple Input Multiple Output (MIMO) technology. However, the effective realization of MIMO's benefits, particularly in compact devices, is fundamentally constrained by the physical limitations of antenna design, primarily mutual coupling between radiating elements and high spatial correlation. This paper presents the design, analysis, and optimization of a novel 4x4 multi-band MIMO antenna …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 19–29 Read article
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AI-Optimized Reconfigurable Microstrip Bandpass Filters for DynamicSpectrum Access in 6G Networks
Abstract: The evolution toward sixth generation (6G) wireless networks introduces unprecedented demands on spectral efficiency, ultra-low latency, and real-time adaptability to dynamic radio environments. Central to this transformation is the requirement for intelligent, spectrum-agile radio front ends that can seamlessly operate across heterogeneous frequency bands. Dynamic Spectrum Access (DSA) addresses this challenge by enabling transceivers to autonomously detect, evaluate, and utilize the most suitable spectrum opportunities. The realization of DSA in …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 30–38 Read article
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SOBER “An Alcohol Detection and Car Engine Locking System”"
Abstract: Drinking Driving is a major issue of road accidents all over the world; 60 plus of the accidents are caused by it. The number of deaths due to crapulous driving is assumed to be larger than imagination. The model device aims to help the stoner from driving drunk and reduce the number of accidents and cases being due to drunk driving. . Alcohol impairs drivers’ cognitive and motor functions, reducing …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 14–19 Read article
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Automated Pet Feeder
Abstract: Maintaining regular feeding regimens for pets can be a challenging task for many pet owners, especially in today’s fast-paced and demanding lifestyle. To address this issue, this project introduces a smart pet feeder powered by the ESP8266 NodeMCU, a Wi-Fi-enabled microcontroller that facilitates Internet of Things (IoT) applications. The system allows pet owners to remotely manage and automate feeding schedules, ensuring timely and accurate meal delivery even in their absence. …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Intensive Patient Care at Home Using IoT and Cloud
Abstract: All nations acknowledge that every individual has the right to maintain excellent health throughout their life and to take all necessary steps to keep improving. A person's productivity can be significantly impacted by their health. Everyone is happier and more productive when an employee is in good health, which benefits the company as a whole. Recent technological advancements have made a significant contribution to the healthcare sector. Internet of Things …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 28–35 Read article
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Impact of I/Q Imbalance Due to Gain and Phase Mismatcheson IRR, Image Leakage, Constellation Distortion, SNR and BER in OFDM Systems
Abstract: Due to its great spectral efficiency and resilience to multipath fading, orthogonal frequency division multiplexing,or OFDM, has become a popular modulation technique in contemporary wireless communication systems.Reliable OFDM reception depends on accurate channel estimate, and methods like Least Squares (LS) andMinimum Mean Square Error (MMSE) estimation are frequently used to make up for channel impairments.However, despite effective channel estimation, practical receiver performance can still be degraded by radio-frequency front-end imperfections, …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Deep Learning Techniques for Optimizing Resource Allocation and Sustainability in the Next Generation of 6G Wireless Networks
Abstract: The upcoming sixth generation (6G) of wireless communication networks aims to meet challenging requirements such as ultra-reliable low-latency services, massive connectivity for billions of smart devices, and intelligent automation across highly diverse environments. Along with these goals, the issues of energy efficiency and environmental sustainability are becoming equally important, as the rising number of users and traffic volumes will directly increase power demand and carbon emissions. To lower total energy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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RIS-Assisted 6G Wireless Communication: BER, Security Gain and Multi-Metric Performance Analysis
Abstract: Reconfigurable Intelligent Surfaces (RISs) provide programmable control over wireless signal propagation and are emerging as a promising technology for enhancing the reliability, energy efficiency, coverage, and physical-layer security of sixth generation (6G) wireless networks. This paper presents a unified simulation-based performance evaluation of conventional SISO, 4G SIMO, and 6G multi-antenna communication systems, followed by an RIS-assisted reliability and security analysis under Rayleigh fading conditions. The simulation results demonstrate that antenna …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Antenna and Beam-Control Optimization of RIS-Assisted 6G Links: Phase Resolution, Directivity and Energy Efficiency
Abstract: This paper presents an antenna-oriented investigation of reconfigurable intelligent surface (RIS)-assisted sixth- generation (6G) wireless links, emphasizing practical design factors beyond conventional RIS versus non-RIS bit-error-rate comparisons. Four parameters are evaluated: phase-shifter resolution, reflected-beam directivity, aperture-dependent spectral efficiency, and controller-aware energy efficiency. A Rayleigh-fading binary phase-shift keying (BPSK) link is used for reliability analysis, while the RIS is modeled as a uniformly spaced reflective aperture through its array factor. The …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation
Abstract: Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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A Review on LIFI- Data Transmitting System
Abstract: Using visible light as a channel for high-speed data transfer, Li-Fi (Light Fidelity) is a quickly developing wireless communication technology that offers a highly effective and cutting-edge substitute for traditional radio frequency (RF)-based systems like Wi-Fi and Bluetooth. With the exponential growth of connected devices and the increasing demand for faster and more reliable communication, the RF spectrum is becoming congested, leading to reduced performance and interference issues. In order …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Cost-Constrained Sensor Reduction for Deployment AwareIoT-Based Multiclass Water Quality Monitoring
Abstract: Large-scale Internet of Things deployment for water quality monitoring systems is bounded by the capital and several other costs associated with the multi-dimensional sensor. While prior research demonstrates strong predictive performance using multi- parameter physicochemical sensing, limited attention has been given to explicit sensing cost constraints and deployment feasibility. This work formulates multiclass water quality classification as a cost-constrained learning problem in which sensing dimensionality is minimized subject to bounded …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Speech Emotion Recognition using Multi- Kernel CNN for Features extraction and Random Forest Classifier
Abstract: Identifying human emotional states from speech signals is the main goal of Speech Emotion Recognition (SER), which has grown to be a significant area of study in affective computing. However, class imbalance and efficient feature extraction from speech data pose problems for many of the current methods. This study suggests a hybrid framework that combines a Random Forest (RF) classifier with a multi-kernel Convolutional Neural Network (CNN) to address these …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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A Review on Touchless Calling Bell
Abstract: On the principle of proximity or motion detection using an ultrasonic sensor or infrared (IR) sensor. In the modern world, automation and cleanliness are essential for guaranteeing ease and safety in our day-to-day activities. The Touchless Calling Bell is a modern and innovative device designed to eliminate the need for physical contact while operating a doorbell. Traditional doorbells require users to press a switch manually, which may lead to the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article