Orthogonal Model Division Multiple Access

Multiple access technologies are critical technologies in every communication era. As a promising paradigm for next-generation mobile communication, semantic communication has explored new semantic information space resources. Based on the characteristic that different semantic models cannot underst...

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Vydáno v:IEEE transactions on wireless communications Ročník 23; číslo 9; s. 11693 - 11707
Hlavní autoři: Liang, Haotai, Liu, Kaijun, Liu, Xiaoyi, Jiang, Hongchao, Dong, Chen, Xu, Xiaodong, Niu, Kai, Zhang, Ping
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.09.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Communication systems
Decoding
deep joint source and channel coding (DeepJSCC)
Interference
NOMA
Nonorthogonal multiple access
orthogonal-model multiple access (O-MDMA)
Receivers
Semantic orthogonal signals
Semantics
Signal generation
Wireless communication
ISSN:1536-1276, 1558-2248
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Shrnutí:Multiple access technologies are critical technologies in every communication era. As a promising paradigm for next-generation mobile communication, semantic communication has explored new semantic information space resources. Based on the characteristic that different semantic models cannot understand semantic information generated by other models, we propose the concept of semantic orthogonal signals. Combining the advantages of Deep joint source and channel coding (DeepJSCC), an Orthogonal-Model Division Multiple Access (O-MDMA) technology that can be applied to any semantic model is proposed. The essence of O-MDMA is to migrate the anti-interference capability of DeepJSCC to the multi-user capacity. Compared with Non-Orthgonal Multiple Access (NOMA) and Model Division Multiple Access (MDMA) technologies, O-MDMA has better performance. The O-MDMA can be integrated with NOMA, and experimental results show that the combined technique can save more bandwidth.
Bibliografie:ObjectType-Article-1
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2024.3384421