Learning-Based Constellation Design for Uplink Bi-Static Integrated Sensing and Communication

This paper proposes an end-to-end deep learning based constellation design for integrated sensing and communication (ISAC) for the uplink of orthogonal frequency division multiplexing (OFDM) systems. Utilizing an auto-encoder architecture, the system designs and optimizes constellation mappings to b...

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Vydané v:	IEEE transactions on vehicular technology Ročník 74; číslo 8; s. 13219 - 13224
Hlavní autori:	Hu, Jiaming, Han, Kawon, Jiang, Lai, Meng, Kaitao, Liu, Fan, Masouros, Christos
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Deep learning Integrated sensing and communication Integrated sensing and communications (ISAC) Measurement multiple imput and multiple output (MIMO) OFDM Orthogonal Frequency Division Multiplexing orthogonal frequency division multiplexing (OFDM) precoder design Radar Receivers Symbols Time-domain analysis Training Uplink Uplinking Vectors
ISSN:	0018-9545, 1939-9359
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