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Double-effect DNN-based DBP Scheme for Integrated Sensing and Communications (ISAC)

Authors: Feiyu Li; Xian Zhou 0001; Qirui Fan; Yuyuan Gao; Jiahao Huo; Jinhui Yuan; Keping Long;

Double-effect DNN-based DBP Scheme for Integrated Sensing and Communications (ISAC)

Abstract

A double-effect deep neural network (DNN)-based DBP scheme is developed to integrate communication and sensing, which can mitigate nonlinear interference effectively and estimate optical power distribution accurately through the optimized nonlinear parameters.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
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