DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction
arXiv 2603.23544•98157e9b38247da6de467c88cd6ec53ce8322a4b016a9556b8842f9ccf4cca48
6GLDPCMixture-of-ExpertsOFDMPAPRRISRydberg atomic receiversTHzadversarial attackscaustic beamschannel predictiondeep learningdigital twindistributed MIMOdistributed inferenceenergy efficiencyerror-correcting codesphysical-layer securitysemantic communicationwireless
Paper metadata
- arXiv ID
- 2603.23544
- Version
- Not specified by this published record
- Category
- Mathematics — Information Theory (math.IT)
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Evidence and limitations
- Source ID
- arxiv_math_it
- Record identifier
- 98157e9b38247da6de467c88cd6ec53ce8322a4b016a9556b8842f9ccf4cca48
- Enrichment time
- 2026-03-26T08:51:43Z
- AI-assisted enrichment
- Yes
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