Edge AI in 6G: Vision, Technologies, and Applications

Centeno V.A.M.; Caballero J.E.A.P.; Garcia C.R.P.; Flores J.O.; Malca W.A.H.; Gomez C.A.F. · 2025 International Conference on Pervasive Computational Technologies, ICPCT 2025 (2025) · DOI: 10.1109/icpct64145.2025.10939074

Resumen

The development of wireless connections is being pushed by an unprecedented rise of artificial intelligence (AI) software, with 6G becoming a game-changing technology. However advanced artificial intelligence (AI) needs a lot of connectivity and processing power, which causes delays, energy waste, network traffic, and privacy breaches. By combining sensing, interaction, computing, and intellect, Edge AI - which incorporates model learning and reasoning capacities at the connection's edge - offers an innovative approach for 6G network deployments. With an emphasis on distributed machine learning algorithms and incorporated wireless networking protocols, this article offers a vision for sustainable and reliable edge artificial intelligence (AI) systems. To fit edge AI, the article also covers novel design concepts, service-driven utilization techniques for optimizing, and a complete end-to-end system framework.

Instituciones: Universidad Nacional del Callao; Universidad César Vallejo; Universidad Nacional de Educación Enrique Guzmán y Valle