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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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摘要
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.
Keyword:
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
