Blog(1)

• From Digital Twin to Live Network: Sim2Real for Network Optimization

  AI-based network optimization depends fundamentally on data. In many AI (Artificial Intelligence) problems, good performance can be achieved by collecting enough samples over the operating range of the target system.

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Publications(1)

• DRLCQ: Deep Reinforcement Learning based Call Quality Enhancement in O-RAN

  AuthorSukhdeep Singh, Swaraj Kumar, Ashish Jain, Madhan Raj Kanagarathinam, Neelmani Jha, Moonki Hong

  PublishedIEEE Global Communications Conference

  Date2026-03-19

News(1)

• [Blog] Beyond Heuristics: Forging the AI-Native RAN with AI L2 Radio Resource Scheduling

  Samsung Research is preparing for future wireless technologies with convergence research of AI and communications, in which AI-native approaches drive designing and operations of entire RAN (Radio Access Network) and CN (Core Network).

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