Semantic Communications with Discrete-time Analog Transmission: A PAPR Perspective. (arXiv:2208.08342v1 [cs.IT])

Recent progress in deep learning (DL)-based joint source-channel coding
(DeepJSCC) has led to a new paradigm of semantic communications. Two salient
features of DeepJSCC-based semantic communications are the exploitation of
semantic-aware features directly from the source signal, and the discrete-time
analog transmission (DTAT) of these features. Compared with traditional digital
communications, semantic communications with DeepJSCC provide superior
reconstruction performance at the receiver and graceful degradation with
diminishing channel quality, but also exhibit a large peak-to-average power
ratio (PAPR) in the …

analog arxiv communications perspective semantic time