Semantic Communication Network
Semantic communication networks aim to transmit meaning, not just raw data, by leveraging AI to represent and interpret information more efficiently. Current research focuses on optimizing resource allocation (bandwidth, power, etc.) and developing effective semantic representations, often employing reinforcement learning and deep learning models to adapt to dynamic environments and user needs. This approach promises significant improvements in communication efficiency, particularly in low-signal conditions, and has implications for various applications requiring reliable and low-latency data transmission, such as image sharing and other data-intensive tasks.
Papers
December 2, 2023
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November 25, 2022
October 28, 2022