Hybrid Bi-LSTM and DDQN framework predicts traffic and allocates resources to improve spectrum utilization and reduce queues in sub-band full duplex networks.
Adam: A method for stochastic optimization,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Sub-Band Full Duplex Resource Allocation: A Predictive Deep Reinforcement Learning Approach
Hybrid Bi-LSTM and DDQN framework predicts traffic and allocates resources to improve spectrum utilization and reduce queues in sub-band full duplex networks.