Routing and spectrum allocation method for adaptive sensing of spectrum of grid-free optical transport network
The invention discloses a routing and spectrum allocation method for spectrum adaptive sensing of a grid-free optical transport network, and belongs to the technical field of elastic optical networks. The method comprises the following steps: collecting network and service features, and generating a...
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creator | WANG FU XIN, XIANGJUN YAO HAIPENG YU CHAO ZHANG QI WANG YONGJUN ZHOU SITONG LI ZHIPEI DONG ZE GUAN ZECHUAN CHANG TIANHAI TIAN FENG PAN XIAOLONG ZHU LEI YANG LEIJING GAO RAN TIAN QINGHUA |
description | The invention discloses a routing and spectrum allocation method for spectrum adaptive sensing of a grid-free optical transport network, and belongs to the technical field of elastic optical networks. The method comprises the following steps: collecting network and service features, and generating a state space; determining a frequency spectrum slicing degree and an action space; establishing and training a dual-depth Q network model, and adjusting parameters; and according to the Double-DQN network after the training is completed, carrying out routing and spectrum allocation by adopting the SSD-DDQN. According to the method, the frequency spectrum distribution condition of the service on the link is reflected through the frequency spectrum slicing degree, meanwhile, the double-DQN model is introduced into reinforcement learning and combined with the frequency spectrum slicing degree, frequency spectrum fragment sensing and reinforcement learning are combined, self-adaptive frequency spectrum distribution is |
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The method comprises the following steps: collecting network and service features, and generating a state space; determining a frequency spectrum slicing degree and an action space; establishing and training a dual-depth Q network model, and adjusting parameters; and according to the Double-DQN network after the training is completed, carrying out routing and spectrum allocation by adopting the SSD-DDQN. According to the method, the frequency spectrum distribution condition of the service on the link is reflected through the frequency spectrum slicing degree, meanwhile, the double-DQN model is introduced into reinforcement learning and combined with the frequency spectrum slicing degree, frequency spectrum fragment sensing and reinforcement learning are combined, self-adaptive frequency spectrum distribution is</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY WIRELESS COMMUNICATIONS NETWORKS |
title | Routing and spectrum allocation method for adaptive sensing of spectrum of grid-free optical transport network |
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