Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning

no code implementations • 14 Feb 2020 • Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek, Hosein Nikopour

We propose a mechanism for distributed resource management and interference mitigation in wireless networks using multi-agent deep reinforcement learning (RL).

Management reinforcement-learning +2

When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework

no code implementations • 20 Jun 2019 • Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek, Hosein Nikopour, Shilpa Talwar

Interference among concurrent transmissions in a wireless network is a key factor limiting the system performance.

Management Reinforcement Learning (RL) +1

Context-Aware Mobility Management in HetNets: A Reinforcement Learning Approach

no code implementations • 7 May 2015 • Meryem Simsek, Mehdi Bennis, Ismail Güvenc

The use of small cell deployments in heterogeneous network (HetNet) environments is expected to be a key feature of 4G networks and beyond, and essential for providing higher user throughput and cell-edge coverage.

Fairness Management +3