ABSTRACT
This research endeavors to contribute to the evolution of wireless communication by developing an innovative model for an energy-efficient network using Green 6G with edge computing. The landscape of wireless communication is rapidly advancing, and the envisaged 6G technology seeks to transcend its predecessors by integrating space, aerial, terrestrial, and undersea networks. The central goal is to establish ubiquitous and limitless connectivity for a myriad of Internet of Things (IoT) and machine-type devices, each characterized by distinct quality of service requirements. In response to this, our novel model integrates adaptive communication protocols, edge computing, and AI-driven optimization to enhance network efficiency and reduce energy consumption. Key features of the model include a multidimensional approach to communication, harnessing the potential of 6G integrated networks. Ubiquitous connectivity is a cornerstone, ensuring that devices with varied quality of service needs find a seamless place within the network. Prioritizing energy efficiency, the model implements green technologies in communication protocols and transceivers, addressing the escalating concerns of energy consumption in the digital era. The performance evaluation metrics, encompassing energy consumption reduction, data transfer speed, and network reliability, reveal the model's effectiveness. Results showcase notable reductions in energy consumption, consistently high data transfer speeds, and a robust network reliability. This research contributes to the realization of a future where wireless communication is not only technologically advanced but also environmentally sustainable, marking a pivotal step towards the transformative potential of Green 6G.
