Lyapunov-based lightweight AI agent achieves O(N) complexity for joint PQC-NOMA allocation in edge systems, with claimed 46x speedup over SCA and improved throughput in simulations.
Computation rate maximization for wireless powered mobile-edge computing with binary computation offloading
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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QAROO combines quantum neural networks, attention mechanisms, and recurrent networks in a reinforcement learning setup to improve online task offloading performance over baselines in dynamic MEC environments.
citing papers explorer
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Lightweight Quantum Agent for Edge Systems: Joint PQC and NOMA Resource Allocation
Lyapunov-based lightweight AI agent achieves O(N) complexity for joint PQC-NOMA allocation in edge systems, with claimed 46x speedup over SCA and improved throughput in simulations.
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QAROO: AI-Driven Online Task Offloading for Energy-Efficient and Sustainable MEC Networks
QAROO combines quantum neural networks, attention mechanisms, and recurrent networks in a reinforcement learning setup to improve online task offloading performance over baselines in dynamic MEC environments.