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Intelligent Decision-Making for Asynchronous Dynamic Orthogonal Networking Based on DO-QMIX Algorithm
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DOI：10.1109/LCOMM.2025.3529531.png)
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Abstract
En 中文
In order to intelligently select the frequency points of each subnet in the asynchronous dynamic orthogonal networking (ADON), we propose the QMIX algorithm based on dataset aggregation and options architecture (DO-QMIX). Joint reward is maximized to mitigate the problem of partially observable environment. Specifically, we first pre-train the network by dataset aggregation (DAgger) to improve the sample utilization. Then, we fine-tune the policy via experiences generated by options architecture (OA) to avoid getting trapped in local optima. Numerical results show that the proposed DO-QMIX outperforms the comparison algorithms in the three complex electromagnetic environments.
Keywords:
Interference
Heuristic algorithms
Signal to noise ratio
Time-frequency analysis
History
Decision making
Tensors
Games
Bit error rate
White noise
Asynchronous dynamic orthogonal networking
QMIX
dataset aggregation
A-star
options architecture
Journal
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Citations:
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