most citedEnergy Efficiency in Network Slicing: Survey and Taxonomy

10 citations · 10 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Exposing AI Inference as a Telco Network API over the 5G User Plane

Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira, Joberto S. B. Martins +2

Supporting edge Artificial Intelligence (AI) inference as a network service is challenging because current mobile systems can transport tensors but do not expose or understand the…

cs.DC2026

The Impact of Process Competition on Energy Consumption: Analysis and Modeling

Eduardo Gomes Campos, Rafaela Sousa de Alencar Lacerda, Adnei Willian Donatti +3

With the development of distributed systems, the need to manage the sharing of machines among multiple simultaneous users arises. In the cloud computing context, the instantiation…

cs.CY2026

Dynamic Map-based Data-Centric Approach for Tourism and Cultural Heritage Preservation Digital Twins

João Spínola Falcão, João G. Perrone Hohlenwerger, Daniel C. Santos +3

Tourism is an essential and growing economic activity worldwide, bringing benefits such as job creation, revenue generation, and tax revenue, and driving economic prosperity. Touri…

cs.NI2025★ 10 cited

Energy Efficiency in Network Slicing: Survey and Taxonomy

Adnei Willian Donatti, Marcia Cristina Machado, Marvin Alexander Lopez Martinez +7

Network Slicing (NS) is a fundamental feature of 5G, 6G, and future mobile networks, enabling logically isolated virtual networks over shared infrastructure. As data demand increas…

cs.NI2025

Towards Sustainability in 6G Network Slicing with Energy-Saving and Optimization Methods

Rodrigo Moreira, Tereza C. M. Carvalho, Flávio de Oliveira Silva +2

The 6G mobile network is the next evolutionary step after 5G, with a prediction of an explosive surge in mobile traffic. It provides ultra-low latency, higher data rates, high devi…