1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. Modeling The Environment In Deep Reinforcement Learning: The Case Of Energy Harvesting Base Stations

Modeling The Environment In Deep Reinforcement Learning: The Case Of Energy Harvesting Base Stations

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

In this paper, we focus on the design of energy self-sustainable mobile networks by enabling intelligent energy management that allows the base stations to mostly operate off-grid by using renewable energy. We propose a centralized control algorithm based

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

Modeling The Environment In Deep Reinforcement Learning: The Case Of Energy Harvesting Base Stations

00:13:20

0 views

In this paper, we focus on the design of energy self-sustainable mobile networks by enabling intelligent energy management that allows the base stations to mostly operate off-grid by using renewable energy. We propose a centralized control algorithm based