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Mohd Najib Mohd Yasin
Preferred name
Mohd Najib Mohd Yasin
Official Name
Mohd Najib , Mohd Yasin
Alternative Name
M. Yasin, M. Najib
Yasin, Mohd Najib
Yasin, Mohd Najib M.
Yasin, M. N.Mohd
Mohd Yasin, M. N.
Main Affiliation
Scopus Author ID
57210314287
Researcher ID
AAQ-6242-2021
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PublicationBandwidth enhancement by using parasitic patch on dielectric resonator antenna for sub-6 GHz 5G NR bands application(Elsevier B.V., 2022-06-01)
;Iqbal J. ;Illahi U. ; ;Albreem M.A.Akbar M.F.In this Research article, a circularly polarized Dielectric Resonator Antenna (DRA) that operates in the sub-6 GHz spectrum for future 5G New Radio (5G NR) applications has been proposed. The novel design consists of a Roman Three shaped conformal metal strip excited through a singly fed mechanism. The proposed technique is responsible for circular polarization by exciting the higher-order degenerate modes, i.e., TExδ13 and TEy1δ3.Initially, the roman three shape design produces a narrow 10-dB impedance bandwidth of 10.68% (3.23–3.59 GHz) and axial ratio bandwidth of just 1.47% (3.35–3.41 GHz); to cover the whole 5G NR Bands (n77/n78), the parasitic patch has been introducing at an optimum location on rectangular DRA, such arrangement not only improves impedance matching |S11 | ≤ −10 dB bandwidth by 180 %, i.e., 27.73% (3.26 – 4.35 GHz) but also cover the desired band. Along with this, a noteworthy improvement of ∼ 250% in 3-dB overlapping axial ratio (AR) bandwidth has been attained. In parallel to the Sub-6 GHz 5G NR Bands applications, this antenna can be used for vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) applications. Finally, the fabricated antenna prototype is tested and offers decent performance in desired parameters. The measured results agree reasonably with simulation results.2 2 -
PublicationGreen Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges( 2021-01-01)
;Albreem M.A. ;Sheikh A.M. ;Alsharif M.H. ;Internet of things (IoT) is one of key pillars in fifth generation (5G) and beyond 5G (B5G) networks. It is estimated to have 42 billion IoT devices by the year 2025. Currently, carbon emissions and electronic waste (e-waste) are significant challenges in the information communication technologies (ICT) sector. The aim of this article is to provide insights on green IoT (GIoT) applications, practices, awareness, and challenges to a generalist of wireless communications. We garner various efficient enablers, architectures, environmental impacts, technologies, energy models, and strategies, so that a reader can find a wider range of GIoT knowledge. In this article, various energy efficient hardware design principles, data-centers, and software based data traffic management techniques are discussed as enablers of GIoTs. Energy models of IoT devices are presented in terms of data communication, actuation process, static power dissipation and generated power by harvesting techniques for optimal power budgeting. In addition, this article presents various effective behavioral change models and strategies to create awareness about energy conservation among users and service providers of IoTs. Fog/Edge computing offers a platform that extends cloud services at the edge of network and hence reduces latency, alleviates power consumption, offers improved mobility, bandwidth, data privacy, and security. Therefore, we present the energy consumption model of a fog-based service under various scenarios. Problems related to ever increasing data in IoT networks can be solved by integrating artificial intelligence (AI) along with machine learning (ML) models in IoT networks. Therefore, this article provides insights on role of the ML in the GIoT. We also present how legislative policies support adoption of recycling process by various stakeholders. In addition, this article is presenting future research goals towards energy efficient hardware design principles and a need of coordination between policy makers, IoT devices manufacturers along with service providers.1 25