Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep, Power, and RIS Control for Energy-Efficient HetNet

no code implementations • 26 Apr 2023 • Hao Zhou, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci

In this work, we jointly consider sleep and transmission power control for reconfigurable intelligent surface (RIS)-aided energy-efficient heterogeneous networks (Hetnets).

Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity

no code implementations • 13 Jan 2023 • Pedro Enrique Iturria Rivera, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci

Reinforcement learning (RL) has shown its huge potential in wireless scenarios where parameter learning is required given the dynamic nature of such context.

Q-Learning reinforcement-learning +1

Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN

no code implementations • 7 Jan 2023 • Hao Zhou, Long Kong, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci

Reconfigurable intelligent surface (RIS) is emerging as a promising technology to boost the energy efficiency (EE) of 5G beyond and 6G networks.

Hierarchical Reinforcement Learning Management +2