Lightweight PCGAE-Net: Parallel CrossGate Attention and Bottleneck AutoEncoder for Efficient 5G Channel Prediction
arXiv 2606.25401•68ce752f206f60938f9277caec08b4cdefe7bbe2ed18f04cbd9bf656db143e76
IEEE 802.11deanonymizationdevice-fingerprintingmac-address-randomizationmachine-learningpassive-eavesdroppingprivacyprobe-framestrackingwifi
Paper metadata
- arXiv ID
- 2606.25401
- Version
- Not specified by this published record
- Category
- Computer Science — Networking and Internet Architecture (cs.NI)
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Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- 68ce752f206f60938f9277caec08b4cdefe7bbe2ed18f04cbd9bf656db143e76
- Enrichment time
- 2026-06-25T07:24:14Z
- AI-assisted enrichment
- Yes
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