Blog(3)

• 6G AI/ML for Physical-layer: Part II - CSI compression with JSCM

  For decades, the wireless communication problems have been modeled by statistical models. Consequently,

• First Light of the AI/ML Empowered RAN in 3GPP

  With the requirements to support the emerging applications, such as autonomous driving, remote medical services, factory automation, etc., the communication networks encounter the challenge of the increasingly stringent key performance indicators (KPIs) within the complex system design.

• 6G AI/ML for Physical-layer: Part I - General Views

  For decades, the wireless communication problems have been modeled by statistical models. Consequently,

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Publications(5)

• Network GDT: GenAI Based Digital Twin for Automated Network Performance Evaluation

  AuthorSukhdeep Singh, Swaraj Kumar, Moonki Hong, Ashish Jain, Madhan Raj Kanagarahinam

  PublishedIEEE International Conference on Communications (ICC)

  Date2025-09-26

• Leveraging O-RAN SC AI/ML Framework & Non-RT RIC for AI-Driven Network Slice QoS Optimization

  AuthorAshish Jain, Sukhdeep Singh, Moonki Hong

  PublishedIEEE Globecom Workshop

  Date2025-08-12

• Digital Twin for Intelligent Network: Data Lifecycle, Digital Replication, and AI-based Optimizations

  AuthorSeowoo Jang, Jinguk Jeong, Juho Lee

  PublishedIEEE Communications Magazine

  Date2023-08-01

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News(4)

• [Blog] 6G AI/ML for Physical-layer: Part II – Audio Traffic with JSCM

  For decades, wireless systems have been built around one central objective: deliver bits as accurately as possible. That design philosophy has served the industry well, but it also reflects a strong assumption that communication quality is determined mainly by bit accuracy.

• [Blog] 6G AI/ML for Physical-layer: Part II - CSI compression with JSCM

  In modern wireless systems, the efficient acquisition of Channel State Information (CSI) has become increasingly critical, driven by the deployment of massive antenna arrays and the demand for higher spectral efficiency.

• [Blog] 6G AI/ML for Physical-layer: Part I - General Views

  For decades, the wireless communication problems have been modeled by statistical models. Consequently,

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