HAL (France)
open access
Quantum-Enhanced DRL Optimization for DoA Estimation and Task Offloading in ISAC Systems
This work proposes a quantum-aided deep reinforcement learning (DRL) framework designed to enhance the accuracy of direction-of-arrival (DoA) estimation and the efficiency of computational task offloading in integrated sensing and communication systems. Traditional DRL approaches face challenges in
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