Characterization of Wireless Channel Semantics: A New Paradigm
arxiv(2024)
摘要
Recently, deep learning enabled semantic communications have been developed
to understand transmission content from semantic level, which realize effective
and accurate information transfer. Aiming to the vision of sixth generation
(6G) networks, wireless devices are expected to have native perception and
intelligent capabilities, which associate wireless channel with surrounding
environments from physical propagation dimension to semantic information
dimension. Inspired by these, we aim to provide a new paradigm on wireless
channel from semantic level. A channel semantic model and its characterization
framework are proposed in this paper. Specifically, a channel semantic model
composes of status semantics, behavior semantics and event semantics. Based on
actual channel measurement at 28 GHz, as well as multi-mode data, example
results of channel semantic characterization are provided and analyzed, which
exhibits reasonable and interpretable semantic information.
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