In this article, we address a critical gap within the existing literature by offering a dedicated treatment of the 3GPP Release-18 study on AI/ML for the NR air interface. This comprehensive contribution enriches the existing works which often confine their scopes to certain areas of the 3GPP study. Furthermore, we also divulge the myriad factors that underpin the process of standardization. Given that the integration of AI/ML within the air interface is a nascent and largely uncharted avenue in the realm of standards development, 3GPP has identified many new challenges and gained novel perspectives during this study. Conveying these learnings from the front lines of 3GPP helps demystify the decisions and is particularly valuable for researchers not directly involved in the 3GPP work.
Recent Most Popular
-
White paper vindictively stress on convergence for 5G step wise growth and strategical adoption. Convergence, not only aggregation at acce...
-
Akraino Edge Stack , a Linux Foundation project initiated by AT&T and Intel, intends to develop a fully integrated edge infrastructur...
-
Fundarc Communication ( www.xgnlab.com ) has been in thought leadership and pursuing its consultancy support for 5G evolution. It has advoc... -
When We, Fundarc-Comm (xgnlab), put our whitepaper on 5G, and centered it around two notion, large scale and convergence. We were convinced ... -
Massive MIMO (mMIMO) and beamforming are buzzwords widely used in the telecom industry when referring to 5G and latest advancements of LT...
-
T-mobile and Sprint merger is being talked about with the asteroid falling impact on US economy and consumers, both are boasting each ... -
Thought to write on 5G again, as 5G is still elusive in talk and discussion. 5G is a re-imagination, paradigm shifts and new vision t... -
WBA has organized the City Wi-Fi Roaming trial under the World Wi-Fi Day initiatives across many cities since 2016. The City Wi-Fi Roamin...
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment