基于马尔科夫预测的时分复用弹性波带交换算法

Time Division Multiplexing Elastic Waveband Switching Algorithm Based on Markov Prediction

摘要: 研究了时分复用弹性光网络中的业务疏导、路由与频谱分配问题，提出了基于马尔科夫的时隙占用预测机制，设计了相应的时分复用弹性波带交换算法。主要包括：基于端到端同构波带融合和时分复用的路由、频谱、波带与调制格式分配算法RSBMA-EEU-TDM，基于子路径异构波带融合和时分复用的RSBMA算法RSBMA-SBN-TDM，以及基于时分复用均衡的RSBMA算法RSBMA-Balance-TDM。仿真结果表明，基于马尔科夫预测的时分复用弹性波带交换启发式算法表现出良好性能。

Abstract: The traffic grooming, routing and spectrum assignment in time-division-multiplexing elastic optical networks are investigated in this paper. The Markov-based mechanism for predicting the future status of consumed time slots is proposed. and the corresponding time-division-multiplexing elastic waveband switching algorithms are designed, including RSBMA-EEU-TDM (Routing, Spectrum, Band and Modulation Allocation based on End-to-End Uniform band merging and Time Division Multiplexing), RSBMA-SBN-TDM (RSBMA based on SuBpath Non-uniform band merging and TDM), and RSBMA-Balance-TDM (RSBMA based on Balance and TDM). Simulation results show the proposed heuristics, Markov-based TDM elastic waveband switching performs well.