<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Wireless networks have become essential in daily life, with a growing number of base stations and connected devices. However, increasing traffic and energy consumption pose challenges. This research proposes a Dual Step Hybrid Mechanism (DSHM) for energy optimization, incorporating MIMO technologies. The first step introduces an optimal algorithm that iteratively updates the probability distribution to achieve the best solution. The second step focuses on reducing energy consumption while maximizing energy efficiency, using specific techniques and strategies to minimize usage without compromising energy maximization. The proposed approach is evaluated using parameter settings, including block length, path loss, hardware impairments, and bandwidth. The research investigates the impact of hardware impairments on energy efficiency and analyzes performance under different SINR constraints. The study also examines energy efficiency in active user density and base station density, highlighting the superior energy efficiency achieved by MIMO configurations.</p>
</abstract>

Wireless networks have become essential in daily life, with a growing number of base stations and connected devices. However, increasing traffic and energy consumption pose challenges. This research proposes a Dual Step Hybrid Mechanism (DSHM) for energy optimization, incorporating MIMO technologies. The first step introduces an optimal algorithm that iteratively updates the probability distribution to achieve the best solution. The second step focuses on reducing energy consumption while maximizing energy efficiency, using specific techniques and strategies to minimize usage without compromising energy maximization. The proposed approach is evaluated using parameter settings, including block length, path loss, hardware impairments, and bandwidth. The research investigates the impact of hardware impairments on energy efficiency and analyzes performance under different SINR constraints. The study also examines energy efficiency in active user density and base station density, highlighting the superior energy efficiency achieved by MIMO configurations.

Dual-Step Hybrid Mechanism for Energy Efficiency Maximization in Wireless Network

Department of Computer Science and Engineering

Department Of ECE, Nagarjuna College of Engineering and Technology

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Wireless networks have become essential in daily life, with a growing number of base stations and connected devices. However, increasing traffic and energy...

Dual-Step Hybrid Mechanism for Energy Efficiency Maximization in Wireless Network

Publicado en línea: 28 sept 2023

Páginas: 70 - 88

Recibido: 05 may 2023

Aceptado: 28 jul 2023

DOI: https://doi.org/10.2478/cait-2023-0025

Palabras clave
Wireless network, Energy efficiency, DSHM, QOS, SINR, Multimedia services

© 2023 Pundalik Chavan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Dual-Step Hybrid Mechanism for Energy Efficiency Maximization in Wireless Network

Publicado en línea: 28 sept 2023

Páginas: 70 - 88

Recibido: 05 may 2023

Aceptado: 28 jul 2023

DOI: https://doi.org/10.2478/cait-2023-0025

Palabras claveWireless network, Energy efficiency, DSHM, QOS, SINR, Multimedia services

© 2023 Pundalik Chavan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Palabras clave
Wireless network, Energy efficiency, DSHM, QOS, SINR, Multimedia services