Question 1

What is Deep Reinforcement Learning for Path Selection in WMNs about?

Accepted Answer

This document presents a study on path selection algorithms for wireless multihop networks (WMNs) using deep reinforcement learning (DRL). Two novel algorithms, SNR-based learning path selection (NLPS) and SINR-based learning path selection (INLPS), are proposed to enhance network capacity while managing computation time through a factor graph approach and nested lattice code representation. Simulation results indicate that these algorithms can significantly improve network capacity, achieving up to 10.5 ti

Question 2

Can I read Deep Reinforcement Learning for Path Selection in WMNs on EtoBox?

Accepted Answer

Deep Reinforcement Learning for Path Selection in WMNs by rswathisri2024 is a document available to read on EtoBox.

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