Search Results for author: Barak Gahtan

Found 2 papers, 1 papers with code

Using Deep Reinforcement Learning for mmWave Real-Time Scheduling

no code implementations • 4 Oct 2022 • Barak Gahtan, Reuven Cohen, Alex M. Bronstein, Gil Kedar

The most important advantage of AARL compared to RPMA is that it is much faster and can make the necessary scheduling decisions very rapidly during every time slot, while RPMA cannot.

reinforcement-learning Reinforcement Learning (RL) +1

Paper
Add Code

5G Routing Interfered Environment

2 code implementations • 28 Mar 2022 • Barak Gahtan

5G is the next-generation cellular network technology, with the goal of meeting the critical demand for bandwidth required to accommodate a high density of users.

Reinforcement Learning (RL)

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.