Improving Energy Efficiency in ۶G Telecommunication Technology Using Non-linear Equations and Neural Networks
:Introduction
Sixth-generation telecommunication technology (6G) is considered a pioneering advancement in the field of wireless communication and the Internet of Things (IoT), offering unprecedented bandwidth and data transfer rates. With the increasing demand for device connectivity and growing energy requirements in 6G networks, optimizing energy consumption in this technology is of paramount importance
:Preliminary Study
The capabilities of 6G technology, including its exceptionally high bandwidth and data transfer rates, necessitate comprehensive research and investigation in related areas. In this phase, concepts related to 6G and energy requirements are reviewed
:Determining Energy Consumption
One of the initial steps in improving energy consumption in 6G technology is determining the energy consumption level based on bandwidth and frequency. This preliminary data is essential for assessing energy consumption challenges in this technology
:Modeling Using Non-linear Equations
For a more precise analysis of energy consumption in 6G networks, non-linear equations are used to describe energy consumption variations resulting from changes in bandwidth and frequency. Among the algorithms used in this stage, we can mention combinatorial algorithms and genetic algorithms
:Utilizing Neural Networks
To enhance the accuracy of energy consumption analysis and prediction in 6G technology, neural networks can be employed. These networks, using real data and non-linear equations, increase the precision of energy consumption analysis. In particular, deep neural networks can assist in more accurate energy consumption analysis and prediction in 6G networks.
:Research Recommendations
- Initiate practical research for validating model results on real networks
- Investigate energy consumption challenges and propose energy efficiency improvement solutions in 6G technology
- Provide guidance for future research in the field of energy optimization in 6G technology
This approach enables researchers to systematically address energy consumption improvement in 6G technology
and tackle important issues such as energy optimization and enhancing efficiency in 6G networks