| 面向确定性网络的按需智能路由技术 |
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| 引用本文： | 伍仲丽,曹园园,黄文睿,戴彬,莫益军. 面向确定性网络的按需智能路由技术[J]. 电信科学, 2021, 37(11): 11-16. DOI: 10.11959/j.issn.1000-0801.2021245 |
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| 作者姓名： | 伍仲丽 曹园园 黄文睿 戴彬 莫益军 |
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| 作者单位： | 华中科技大学电子信息与通信学院,湖北 武汉 430074;华中科技大学计算机科学与技术学院,湖北 武汉 430074 |
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| 基金项目： | 国家重点研发计划项目(2020YFB1805203) |
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| 摘 要： | 确定性网络需要保证不同应用在时延、丢包率、抖动、吞吐量和可靠性等方面的确定性传输需求。针对应用的差异化、确定性的网络传输需求，提出了一种面向确定性网络的按需智能路由学习框架 OdR，在OdR框架下提出一种基于深度强化学习的按需智能路由算法OdR-TD3，OdR-TD3算法可以根据应用流量的确定性QoS需求生成路由策略，以满足确定性网络应用的需求。通过网络仿真实验评估，在确定性应用的QoS需求达成率上，OdR-TD3算法相较DV算法和SPF算法，具有显著的优势。
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| 关 键 词： | 确定性网络 深度强化学习 按需智能路由 服务质量 |
On-demand intelligent routing technology for deterministic network |
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| Zhongli WU,Yuanyuan CAO,Wenrui HUANG,Bin DAI,Yijun MO. On-demand intelligent routing technology for deterministic network[J]. Telecommunications Science, 2021, 37(11): 11-16. DOI: 10.11959/j.issn.1000-0801.2021245 |
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| Authors: | Zhongli WU Yuanyuan CAO Wenrui HUANG Bin DAI Yijun MO |
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| Affiliation: | 1. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China;2. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | Deterministic network needs to ensure the deterministic transmission requirements of different applications in terms of delay, packet loss rate, jitter, throughput, and reliability.In response to the differentiated and deterministic network transmission requirements of applications, an on-demand intelligent routing framework OdR for deterministic network was proposed.Under the OdR framework, an on-demand intelligent routing algorithm named OdR-TD3 based on deep reinforcement learning was proposed, which generates routing strategies based on the deterministic QoS requirements of application traffic, to satisfy the applications’ requirements of deterministic network.The experimental evaluation results show the OdR-TD3 algorithm has a significant advantage over the DV algorithm and the SPF algorithm in terms of the achievement rate of deterministic QoS requirements. |
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| Keywords: | deterministic network deep reinforcement learning on-demand intelligent routing quality of service |
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