Heterogeneous network multipath scheduling method and system based on artificial intelligence
A heterogeneous network and artificial intelligence technology, applied in transmission systems, digital transmission systems, data exchange networks, etc., can solve problems such as the inability to adapt to the MPTCP multi-subflow environment, and achieve the effect of improving aggregation performance and reducing application delay
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[0044] The invention designs an artificial intelligence-based multipath transmission control protocol (MPTCP) data packet scheduling optimization method and system. The system uses the Transformer network and deep enhanced neural network to summarize the historical experience of packet scheduling through exploration and utilization, so as to accurately and adaptively adjust the GAP value of each TCP subflow to minimize the multipath scheduler receiving end. Out of order situation. Mainly include the following:
[0045] Key point 1: A deep reinforcement learning multi-path packet scheduling framework is proposed, which implements the experience-driven MPTCP packet scheduling logic. It does not rely on an accurate and rigid linear mathematical model, fully considers the random properties of the TCP layer of each sub-flow, and uses a deep neural network as a function approximation for GAP adjustment according to the runtime state of a heterogeneous wireless network to achieve ac...
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