Deep reinforcement learning for network resource optimization in MIMO-NOMA networks to maximize utilization with minimal overhead
- DOI
- 10.1038/s41598-026-42953-7
- Published
- 3
- Container
- Scientific Reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-42953-7,
title = {Deep reinforcement learning for network resource optimization in MIMO-NOMA networks to maximize utilization with minimal overhead},
author = {Hassan Fareed M Lahza and B. R. Sreenivasa and Husam Lahza and G. Nandini and V. Laxmi and Tawfeeq Shawly and Ahmed A. Alsheikhy},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-42953-7},
url = {https://doi.org/10.1038/s41598-026-42953-7}
}RIS
TY - JOUR TI - Deep reinforcement learning for network resource optimization in MIMO-NOMA networks to maximize utilization with minimal overhead AU - Hassan Fareed M Lahza AU - B. R. Sreenivasa AU - Husam Lahza AU - G. Nandini AU - V. Laxmi AU - Tawfeeq Shawly AU - Ahmed A. Alsheikhy PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-42953-7 UR - https://doi.org/10.1038/s41598-026-42953-7 ER -
APA
Lahza, H. F. M., Sreenivasa, B. R., Lahza, H., Nandini, G., Laxmi, V., Shawly, T., & Alsheikhy, A. A. (2026). Deep reinforcement learning for network resource optimization in MIMO-NOMA networks to maximize utilization with minimal overhead. Scientific Reports. https://doi.org/10.1038/s41598-026-42953-7
Source records
- doaj · retrieved 2026-11-10T12:42:39.317Z