☆ 4.5 Article

Multi-agent reinforcement learning for network routing in integrated access backhaul networks

AD HOC NETWORKS (2024)

IAB Topology Design: A Graph Embedding and Deep Reinforcement Learning Approach

Meryem Simsek et al.

Summary: As cellular networks continue to grow in density, traditional fiber backhaul access to each cell site becomes difficult. Utilizing millimeter wave communication and beamforming, high-speed wireless backhaul can be achieved. Our proposed topology formation approach, based on deep reinforcement learning and graph embedding, offers a less complex and more scalable solution with significant performance gains compared to baseline approaches.

IEEE COMMUNICATIONS LETTERS (2021)

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