Deep LearningBased Secrecy Performance of UAVIRS NOMA Systems With Friendly Jamming
dc.article.end-page | 4548 | en |
dc.article.start-page | 4533 | en |
dc.citation.doi | 10.1109/OJCOMS.2025.3570923 | en |
dc.contributor.author | K Yadav | en |
dc.contributor.author | Prabhat K. Upadhyay | en |
dc.contributor.author | Jules Mouatcho Moualeu | en |
dc.contributor.author | Amani Osman | en |
dc.contributor.author | P Nardelli | en |
dc.date.accessioned | 2025-07-16T08:59:22Z | |
dc.faculty | FACULTY OF ENGINEERING & THE BUILT ENVIRONMENT | en |
dc.identifier.citation | WOS | en |
dc.identifier.uri | https://hdl.handle.net/10539/45496 | |
dc.journal.title | Deep LearningBased Secrecy Performance of UAVIRS NOMA Systems With Friendly Jamming | en |
dc.journal.volume | 6 | en |
dc.school | 3.05 | en |
dc.title | Deep LearningBased Secrecy Performance of UAVIRS NOMA Systems With Friendly Jamming | en |
dc.type | Journal Article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Journal Article.pdf
- Size:
- 2.39 MB
- Format:
- Adobe Portable Document Format
- Description:
- Bitstream uploaded by REST Client