Ejaz, M.A.; Wu, G.; Ahmed, A.; Iftikhar, S.; Bawazeer, S.
Utility-Driven End-to-End Network Slicing for Diverse IoT Users in MEC: A Multi-Agent Deep Reinforcement Learning Approach. Sensors 2024, 24, 5558.
https://doi.org/10.3390/s24175558
AMA Style
Ejaz MA, Wu G, Ahmed A, Iftikhar S, Bawazeer S.
Utility-Driven End-to-End Network Slicing for Diverse IoT Users in MEC: A Multi-Agent Deep Reinforcement Learning Approach. Sensors. 2024; 24(17):5558.
https://doi.org/10.3390/s24175558
Chicago/Turabian Style
Ejaz, Muhammad Asim, Guowei Wu, Adeel Ahmed, Saman Iftikhar, and Shaikhan Bawazeer.
2024. "Utility-Driven End-to-End Network Slicing for Diverse IoT Users in MEC: A Multi-Agent Deep Reinforcement Learning Approach" Sensors 24, no. 17: 5558.
https://doi.org/10.3390/s24175558
APA Style
Ejaz, M. A., Wu, G., Ahmed, A., Iftikhar, S., & Bawazeer, S.
(2024). Utility-Driven End-to-End Network Slicing for Diverse IoT Users in MEC: A Multi-Agent Deep Reinforcement Learning Approach. Sensors, 24(17), 5558.
https://doi.org/10.3390/s24175558