Research on the element structure and pattern differentiation of generative artificial intelligence empowers green communication systems

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Authors: Changning Guo
Cited by: 0

Abstract

Amid the escalating energy consumption challenges in mobile communication networks, sustainable green development has emerged as a pivotal research direction for 6G. AI plays a crucial role in green communication networks by real-time collection and prediction of user demands and communication resources, enabling adaptive communication strategies. This paper first elucidates the architecture and characteristics of 6G, highlighting AI's pivotal role in green communication. Then it analyzes AI applications in green communication, including intelligent power allocation, energy-saving base station technologies, distributed AI energy efficiency solutions and generative AI empowerment techniques. The discussion further examines the trade-offs between communication energy consumption, AI algorithm energy usage, and user service quality. Finally, the paper explores future trends and application prospects of AI in green communication, offering innovative insights for advancing AI-driven green communication technologies.

Fields of Study & Subjects

Green IT and Sustainability Advanced Wireless Communication Technologies Advanced MIMO Systems Optimization

Publication details

Journal / source
International Conference on Algorithms, Network, and Communication Technology (ICANCT)
Pages
36–36
Publication date
17 February 2026
Language
EN