Journal of Telecommunication, Switching Systems and Networks
Volume 10, Issue 3 (2023)
Published
Table of contents
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An Overview of the Design and Optimization of Antennas Employing Machine Learning Algorithms and Methodologies
Abstract: This paper offers a comprehensive exploration of the integration of machine learning (ML) techniques in antenna design and optimization, reflecting the burgeoning interest and potential impact of ML in emerging technologies. The first segment conducts a detailed literature survey, elucidating conventional computational electromagnetic and numerical methods preceding an in-depth discussion on the core facets of ML, encompassing diverse learning categories and frameworks. Additionally, it provides a mathematical exposition on regression …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
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Channel Prediction and Estimation Based on Machine and Deep Learning Techniques: A Review
Abstract: Channel prediction estimation in the high- speed mobile environment is a hot issue for 3D massive multiple input multiple output (MIMO) millimeter-wave (mmWave) system. In this environment, the channel has fast time-varying and non-stationary characteristics. And its time-domain correlation coefficient is a time- varying parameter, which makes it difficult for traditional channel estimation methods to capture the channel variations over time and achieve ideal channel estimation performance. A known signal, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 13–17 Read article
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LTE-WI-FI Aggregation in SDN Using Direct Concurrent Bandwidth Aggregation Model
Abstract: In recent years, networks are loaded with heavy traffics due to increased online demands with diverse levels of QoSs (quality of services) required by customers resulting in complex challenges for network service operators. Significant increases in mobile data traffics using WiFi technologies use a concept called WiFi offloading which render only fifty percent of the traffic. These help in reducing network loads of cellular networks with optimal choices. Therefore, the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 18–24 Read article
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Navigating the Spectrum: A Review of Challenges and Opportunities in Wireless Network Densification for 6G Technology
Abstract: Each generation of wireless communication technology brings new and exciting features. However, the latest technology is not able to fully support the continuous increasing demand for wireless communication in 2030. To address the issues posed by the growing number of devices and the volume of voice and data communications traffic, a significant amount of research is needed. End-device (ED) and base station (BS) densification in Wireless (WND) will be impacted …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 25–30 Read article
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Hybrid Energy Storage System for Electric Vehicle
Abstract: These days, fuel cell hybrid vehicles are used to reduce the amount of lubricant required and prevent pollution from burning fossil fuels; as a result, large research centers and enterprises are interested in conducting research and development on this topic. Since battery-operated vehicles have a slower thermodynamic and electrochemical response than fuel cell-powered vehicles, hybrid energy storage systems for electric vehicles must be designed using a bidirectional DC-DC converter, batteries, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 31–40 Read article