EASE-6G: An Energy-Aware SDN Framework with Proactive Slicing and DL-Based Overhead Mitigation for Scalable IoT Networks
Marwah Albeladi, Kamal Jambi, Fathy E. Eassa, Maher Khemakhem · 2026
Read EASE-6G: An Energy-Aware SDN Framework with Proactive Slicing and DL-Based Overhead Mitigation for Scalable IoT Networks by Marwah Albeladi, Kamal Jambi, Fathy E. Eassa, Maher Khemakhem (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13307106.txt.
Description
Marwah Albeladi proposed an energy-aware control frame for dense 6G internet-of-things networks in a 2026 study. Future networks promise 1 Tbps peaks and latency under 0.1 ms, yet device crowds swell control chatter and power use.
The EASE-6G design installs flow rules ahead of need, forecasts traffic with a memory network, and trims signalling through a learning controller. Simulations in OMNeT++ with Simu5G compared the design against two rival smart network schemes. Energy fell while performance held in reported runs, supporting predictive control for very dense device fields.
Catalog record
| CREATOR | Marwah Albeladi, Kamal Jambi, Fathy E. Eassa, Maher Khemakhem |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35528 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |