Edge AI enabled MIMO MC-CDMA for 6G optimizing spectrum and energy efficiency with SIC and deep reinforcement learning

A. Vijay

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DOI: 10.1038/s41598-026-54672-0
Published: 2026-06-10
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-54672-0,
  title = {Edge AI enabled MIMO MC-CDMA for 6G optimizing spectrum and energy efficiency with SIC and deep reinforcement learning},
  author = {A. Vijay},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-54672-0},
  url = {https://doi.org/10.1038/s41598-026-54672-0}
}

RIS

TY  - JOUR
TI  - Edge AI enabled MIMO MC-CDMA for 6G optimizing spectrum and energy efficiency with SIC and deep reinforcement learning
AU  - A. Vijay
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-54672-0
UR  - https://doi.org/10.1038/s41598-026-54672-0
ER  -

APA

Vijay, A. (2026). Edge AI enabled MIMO MC-CDMA for 6G optimizing spectrum and energy efficiency with SIC and deep reinforcement learning. Scientific Reports. https://doi.org/10.1038/s41598-026-54672-0

Source records

crossref · retrieved 2026-09-26T06:27:53.270Z