# Episode 15: O-RAN, Digital Twin, and Machine Learning for Sustainable 6G

Page: https://stenobird.com/podcast/comsoc-technology-news-ctn-7068281/episode-15-o-ran-digital-twin-and-machine-learning-for-sustainable-6g
Text version: https://stenobird.com/podcast/comsoc-technology-news-ctn-7068281/episode-15-o-ran-digital-twin-and-machine-learning-for-sustainable-6g.md
Podcast: [ComSoc Technology News (CTN)](https://stenobird.com/podcast/comsoc-technology-news-ctn-7068281)
Published: 2025-03-27T18:44:11+00:00
Episode link: https://youtu.be/g8n_pxeAWHw
Audio file: https://media.transistor.fm/7b7189ba/bad42809.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/comsoc-technology-news-ctn-7068281/episodes/episode-15-o-ran-digital-twin-and-machine-learning-for-sustainable-6g
Duration seconds: 2381

## Resource

O-RAN, Digital Twin, Machine Learning, all very popular topics being researched as we march towards the next evolution of wireless. But what does it all mean and how do they work together to bring us a more efficient, cost effective and easier to deploy networks and services? Professors Antonino Masaracchia and Mona Jaber join our very own Professor Aryan Kaushik to discuss this very topic, providing us their current views, discussing research efforts while addressing challenges and gaps that still exist. Speakers: Prof. Aryan Kaushik, IEEE CTN Senior Editor and Professor, Manchester Met, UK Prof. Mona Jaber, Queen Mary University of London, UK Prof. Antonino Masaracchia, Queen Mary University of London, UK

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## Transcript

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