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eess.SP2024
Deep Reinforcement Learning for Energy-Efficient on the Heterogeneous Computing Architecture
Zheqi Yu, Chao Zhang, Pedro Machado +4
The growing demand for optimal and low-power energy consumption paradigms for IOT devices has garnered significant attention due to their cost-effectiveness, simplicity, and intell…
eess.SP2024
DRL-based Joint Resource Scheduling of eMBB and URLLC in O-RAN
Rana M. Sohaib, Syed Tariq Shah, Oluwakayode Onireti +3
This work addresses resource allocation challenges in multi-cell wireless systems catering to enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC)…