Massive Twinning to Enhance Emergent Intelligence
This addresses data traffic issues in EI deployments for 6G IIoT applications, but appears incremental as it builds on existing 6G and EI concepts.
The paper tackles the high data traffic problem in emergent intelligence (EI) for 6G IIoT scenarios by proposing massive twinning to reduce traffic and enhance performance, though no concrete numerical results are provided.
As a complement to conventional AI solutions, emergent intelligence (EI) exhibits competitiveness in 6G IIoT scenario for its various outstanding features including robustness, protection to privacy, and scalability. However, despite the low computational complexity, EI is challenged by its high demand of data traffic in massive deployment. We propose to leverage massive twinning, which 6G is envisaged to support, to reduce the data traffic in EI and therewith enhance its performance.