End-to-End Deep Learning in Wireless Communication Systems: A Tutorial Review

arXiv 2603.12289•dee7a4aa16c38f1a0ac2869fc150253d1f5215c98386602ab5622f1dea25df2e
MDS-codesRISReed-SolomonUAVadversarial-robustnessautoencoderbanditsbeamformingchannel-estimationcoding-theorycomplex-probability-measuresdeep-learningindex-modulationinformation-theorylow-altitude-communicationsmMIMOmovable-antennamutual-couplingnonconvex-optimizationphysical-layerreconfigurable-intelligent-surfacesecurity-implicationsspatial-path-IMsub-packetizationwireless-communications

Paper metadata

arXiv ID
2603.12289
Version
Not specified by this published record
Category
Mathematics — Information Theory (math.IT)

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Source ID
arxiv_math_it
Record identifier
dee7a4aa16c38f1a0ac2869fc150253d1f5215c98386602ab5622f1dea25df2e
Enrichment time
2026-03-16T08:51:44Z
AI-assisted enrichment
Yes

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