Low-Complexity Recurrent Neural Network Detector for Faster-than-Nyquist Signaling
arXiv 2608.04155•cf07f6f5c2d0b617da47bbba403721179e96c4b596d08eab0c537739433bd08e
5G6GAI/MLGPU accelerationISACO-RANRISV2Xcislunar communicationsneural networksray tracingresearchsignal processingvehicular networkswireless communications
Paper metadata
- arXiv ID
- 2608.04155
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- cf07f6f5c2d0b617da47bbba403721179e96c4b596d08eab0c537739433bd08e
- Enrichment time
- 2026-08-06T08:51:33Z
- AI-assisted enrichment
- Yes
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