Reinforcement Learning Boosts Communication Network Resource Management
In a rapidly evolving technological landscape, the allocation and optimization of resources in communication networks have emerged as critical challenges...
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Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning
In this paper, we model the vehicular networking communication resource allocation problem as a task based on multi-agent reinforcement learning...
Michigan Tech Biologists Turn Icy Challenges into Resource with DARPA Project
Researchers at Michigan Tech are exploring the capabilities of ice-dwelling bacteria, which could help the U.S. military operate more easily...
Optimizing secure multimedia communication in embedded systems a parallel convolutional neural network approach to RIS and D2D resource allocation
This paper mainly realizes D2D communication resource allocation technology applied in an embedded system under the background of the multimedia...
