Transformer-based CSI prediction combined with RL algorithms for subspace coordination in MIMO interference alignment yields up to 30% higher average user throughput than baselines in simulations.
Multi-UA V path learning for age and power opti- mization in IoT with UA V battery recharge
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Novel Reinforcement Learning Based Framework for Scalable MIMO Interference Alignment
Transformer-based CSI prediction combined with RL algorithms for subspace coordination in MIMO interference alignment yields up to 30% higher average user throughput than baselines in simulations.