Author

M. Al-Ali

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Open access Jul 2026

Hierarchical Reinforcement Learning with Hungarian Assignment for Reliable Urban Smart Metering Under Cognitive Spectrum Access

This work proposes a two-timescale hierarchy that couples these established tools in a new way: a Proximal Policy Optimization (PPO) agent decides, once per epoch, which opportunistic channels to expose, and an exact Hungarian solver performs the per-frame DAP-to-channel assignment.

M. Al-Ali, Esteban Inga, Juan Inga et al. · Smart Cities · 0 citations

Open access Jul 2026

Compressed-Sensing-Based Sparse Channel Estimation for Frequency-Selective MIMO-OFDM Systems Under Reduced Pilot Observations

The results show that sparse recovery exploits the assumed delay-domain sparsity more effectively than non-sparse baselines in the underdetermined regime, while pilot density remains a dominant factor in support identification and reconstruction error.

Juan Inga, Elias Yaacoub, M. Al-Ali et al. · Electronics · 0 citations