Abstract :

The Upcoming Sixth-generation (6G) Wireless Communication Systems Promise Unprecedented Speed, Ultra-low Latency, And Massive Device Connectivity. However, These Advancements Come At The Cost Of Increased Energy Consumption, Posing Challenges To Sustainability And Operational Efficiency. This Paper Presents An Analytical Framework For Understanding The Energy Efficiency Of 6G Systems. By Modeling Critical Parameters Such As Signal-to-noise Ratio (SNR), Bandwidth, Number Of Users, And Transmission Power, And Utilizing MATLABbased Simulations, We Have Evaluated Their Impact On Network Energy Efficiency. Our Findings Highlight That Optimizing These Parameters Can Significantly Improve Energy Performance, Paving The Way For Sustainable 6G Implementations. The Results Reinforce The Need For Intelligent, Energy-aware Network Designs And Present Strategies For Achieving Higher Energy Efficiency In Future Wireless Communications I. INTRODUCTION The Upcoming Sixth-generation (6G) Wireless Communication Systems Promise Unprecedented Speed, Ultra-low Latency, And Massive Device Connectivity. However, These Advancements Come At The Cost Of Increased Energy Consumption, Posing Challenges To Sustainability And Operational Efficiency. This Paper Presents An Analytical Framework For Understanding The Energy Efficiency Of 6G Systems. By Modeling Critical Parameters Such As Signal-to-noise Ratio (SNR), Bandwidth, Number Of Users, And Transmission Power, And Utilizing MATLABbased Simulations, We Have Evaluated Their Impact On Network Energy Efficiency. Our Findings Highlight That Optimizing These Parameters Can Significantly Improve Energy Performance, Paving The Way For Sustainable 6G Implementations. The Results Reinforce The Need For Intelligent, Energy-aware Network Designs And Present Strategies For Achieving Higher Energy Efficiency In Future Wireless Communications. Key Words: 6G Cellular System, Spectral Efficiency , Channel Capacity, Tera Hz Frequency

Published:

25-9-2025

Issue:

Vol. 25 No. 9 (2025)

Page Nos:

352-355

Section:

Articles

License:

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

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