ns-3 files for NYUSIM in ns-3. See https://arxiv.org/pdf/2305.01828.pdf for reference.
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Feb 6, 2024 - C++
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sub-thz
Here are 4 public repositories matching this topic...
Pre-registered branch-level evaluation of a deep RL controller for joint handover, power and spectrum control in multi-UE 140 GHz vehicular O-RAN. Code, per-seed results, and every pre-registration — including the six that failed.
reinforcement-learning reproducible-research deep-reinforcement-learning vehicular-networks terahertz 6g pre-registration radio-resource-management o-ran sub-thz
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Sep 16, 2026 - Python
Risk-sensitive, blockage-anticipating deep-RL (branched QR-DQN with CVaR) for joint handover and power control in 140 GHz sub-THz vehicular networks, on real DAIR-V2X 3D geometry. Headline is a negative result: learning buys selectivity — 12.7× fewer handovers — not lower failure. Code for the paper.
deep-reinforcement-learning pytorch power-control vehicular-networks handover 6g qr-dqn blockage cvar radio-resource-management distributional-reinforcement-learning sub-thz dair-v2x risk-sensitive-control
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Aug 30, 2026 - Python
Deep-RL (Dueling n-step Double-DQN) O-RAN Near-RT xApp for joint handover, power, and spectrum control in 140 GHz sub-THz vehicular networks — a measurement-shaped guarded controller that exposes and cures the reliability "seed lottery." Code and results for the paper.
reinforcement-learning deep-reinforcement-learning pytorch dqn power-control vehicular-networks wireless-communication dueling-dqn handover 6g radio-resource-management o-ran sub-thz highd-dataset
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Oct 13, 2026 - Python
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