157 citations · 473 across the 49 of their papers we have counts for
4 papers · 1 filter
Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning
Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou +4
The growing adoption of mmWave frequency bands to realize the full potential of 5G, turns beamforming into a key enabler for current and next-generation wireless technologies. Many…
Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN
Hao Zhou, Long Kong, Medhat Elsayed +4
Reconfigurable intelligent surface (RIS) is emerging as a promising technology to boost the energy efficiency (EE) of 5G beyond and 6G networks. Inspired by this potential, in this…
Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning
Mina Razghandi, Hao Zhou, Melike Erol-Kantarci +1
Appliance-level load forecasting plays a critical role in residential energy management, besides having significant importance for ancillary services performed by the utilities. In…
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning
Mohammad Akbari, Mohammad Reza Abedi, Roghayeh Joda +3
In delay-sensitive industrial internet of things (IIoT) applications, the age of information (AoI) is employed to characterize the freshness of information. Meanwhile, the emerging…