Towards Autonomous 6G Networks and the Role of Advanced ML Techniques | AI/ML in 5G Challenge

Channel:
Switzerland AI for Good
Subscribers:
19,700
Published on ● Video Link: https://www.youtube.com/watch?v=sMCK2GAPXbE


Duration: 0:00
1,461 views
23

Future wireless networks are expected to support a multitude of services demanded by Enhanced Mobile Broadband (eMBB), Ultra-Reliable and Low-latency Communications (uRLLC), and massive Machine Type Communications (mMTC) users. Heterogeneous devices with different quality of service (QoS) demands will require intelligent and flexible allocation of network resources in response to network dynamics. For instance, a highly reliable and low-latency network is needed to enable rapid transfer of messages between connected autonomous vehicles. At the same time, the same physical infrastructure is expected to serve users with high-quality video demand or even mobile Augmented/Virtual Reality entertainment applications. Next-generation wireless networks are expected to accommodate such diverse use cases. In addition, resource efficiency, reliability, and robustness are becoming more stringent for 5G and beyond networks. To meet this, the next generation wireless network, namely 6G, must incorporate a paradigm shift in network resource optimization, in which efficient and intelligent resource management techniques are employed. Artificial intelligence, or more specifically machine learning algorithms stand as promising tools to intelligently manage the networks such that network efficiency, reliability, robustness goals are achieved and quality of service demands are satisfied. The opportunities that arise from learning the environment parameters under varying behavior of the wireless channel, positions AI-enabled 5G and 6G, superior to preceding generations of wireless networks. In this talk, we provide an overview of the state-of-art in machine learning algorithms and their applications to wireless networks, in addition to their challenges and the open issues in terms of their applicability to various functions of future wireless networks.

Website: https://aiforgood.itu.int/
Twitter: https://twitter.com/ITU_AIForGood
LinkedIn Page: https://www.linkedin.com/company/26511907
LinkedIn Group: https://www.linkedin.com/groups/8567748
Instagram: https://www.instagram.com/aiforgood
Facebook: https://www.facebook.com/AIforGood



Other Videos By AI for Good


2021-05-12Pro-footballer Iker Cassilas on the AI that saved his life | AI FOR GOOD KEYNOTES
2021-05-10Satellite Data Analysis and Machine Learning Classification with QGIS – Pt. 2 | AI FOR GOOD WEBINARS
2021-05-06Let's talk - Democracies.AI: Exploring the promise of AI for civil society participation
2021-05-06The Potential of ML to Address Spatial Reuse in Future IEEE 802.11 WLANs | AI/ML IN 5G CHALLENGE
2021-05-03AI for Good in Action – Crowdsourcing AI for Future Resilience – Part 3 | AI FOR GOOD WEBINARS
2021-04-28Multidevice Localization with mmWave Signals in Factory Environments | AI/ML in 5G Challenge
2021-04-28Trustworthy AI: Adversarial Attacks and Defences | AI FOR GOOD DISCOVERY
2021-04-26Satellite Data Analysis and Machine Learning Classification with QGIS Part 1 | AI FOR GOOD WEBINARS
2021-04-26Geospatial AI/ML Applications and Policies – A Global Perspective | AI FOR GOOD WEBINARS
2021-04-26AI for Heart Attack Prevention | AI FOR GOOD
2021-04-25Towards Autonomous 6G Networks and the Role of Advanced ML Techniques | AI/ML in 5G Challenge
2021-04-22AI for Good 2020 Highlights | AI FOR GOOD
2021-04-21Trustworthy AI: Steps Toward Trustworthy Machine Learning | AI FOR GOOD DISCOVERY
2021-04-20Malware and Machine Learning – A Match Made in Hell | Mikko Hyppönen | AI for Good
2021-04-202021 Live Pitching Session 1 | AI FOR GOOD INNOVATION FACTORY
2021-04-19Creating Safe Digital Spaces for all Through Esports and AI | AI FOR GOOD WEBINARS
2021-04-14Trustworthy AI: Towards Auditable AI Systems | AI FOR GOOD DISCOVERY
2021-04-07Crowdsourcing AI for Future Resilience Part 2 | AI FOR GOOD WEBINARS
2021-04-06AI for sustainable transformation in smart cities, mobility & energy | AI FOR GOOD WEBINARS
2021-03-30Trustworthy AI: Adversarially (non-)Robust ML | Nicholas Carlini Google AI | AI FOR GOOD DISCOVERY
2021-03-22AI for Good in Action – Crowdsourcing AI for Future Resilience | AI FOR GOOD WEBINARS