Channel power control in optical amplifiers to mitigate physical impairment in optical network

The signal quality degradation, which occurs due to the aspects of fiber attenuation, splitter switch, and amplified spontaneous noise in erbium-doped fiber amplifier, may substantially erode the performance of optical communications. Among the above-mentioned factors, the physical-layer impairments may significantly weaken the signal quality at the receiver. In this paper, the impact of both the channel power adjustment and the optical signal noise rate on the optimization of optical amplifiers over the optical propagation links is studied. Our objective is to employ a proper control strategy to effectively adjust the signal power level in the chain network. A new algorithm, which takes into account the physical-layer impairments in performance optimization, facilitates an impairment aware-proportional-integral-derivative neuron controller for improving the quality of transmission. Numerical results show that the proposed controller is capable of effectively compensating for the power impairments in optical links.创新点本文针对光网络的灵活透明性导致链路物理损伤问题, 基于传输过程中的损伤感知机制, 采用PID神经元控制器对传输信号进行在线调节补偿。仿真结果表明, 该控制策略能够有效地调整光链路的信道功率, 提高光网络信噪比, 进而优化传输系统性能。

[1]  Lacra Pavel,et al.  Control for Suppression of Channel Power Excursions in ROADM-Based WDM Chain Networks , 2014, Journal of Lightwave Technology.

[2]  Dahai Xu,et al.  Architectures and Protocols for Capacity Efficient, Highly Dynamic and Highly Resilient Core Networks [Invited] , 2012, IEEE/OSA Journal of Optical Communications and Networking.

[3]  Lacra Pavel,et al.  A noncooperative game approach to OSNR optimization in optical networks , 2006, IEEE Transactions on Automatic Control.

[4]  Daniel C. Kilper,et al.  Persistent channel power deviations in constant gain amplified long-chain ROADM networks , 2011, 2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference.

[5]  S. Chandrasekhar,et al.  Control of Channel Power Instabilities in Constant-Gain Amplified Transparent Networks Using Scalable Mesh Scheduling , 2008, Journal of Lightwave Technology.

[6]  Tansu Alpcan,et al.  A system performance approach to OSNR optimization in optical networks , 2010, IEEE Transactions on Communications.

[7]  Yuefeng Ji,et al.  Experimental performance evaluation of software defined networking (SDN) based data communication networks for large scale flexi-grid optical networks. , 2014, Optics express.

[8]  Yuefeng Ji,et al.  All Optical Switching Networks With Energy-Efficient Technologies From Components Level to Network Level , 2014, IEEE Journal on Selected Areas in Communications.

[9]  Yan Pan,et al.  Channel power excursions in GMPLS end-to-end optical restoration with single-step wavelength tuning , 2012, OFC/NFOEC.

[10]  Jun-lei Qian,et al.  PID Neural Network Adaptive Predictive Control for Long Time Delay System , 2013, ICICA.

[11]  Jian Wu,et al.  Multi-layer network architecture in support of end-to-end transparent optical connectivities , 2011, Science China Information Sciences.

[12]  Jin Yu,et al.  An Improved Single Neuron Adaptive PID Controller Based on Levenberg-Marquardt Algorithm , 2012, BICS.

[13]  Peng Wang,et al.  Application of PID Neural Network Decoupling Control in Deaerator Pressure and Deaerator Water Level Control System , 2014, AsiaSim.

[14]  Yang Zhigang,et al.  PID Neural Network Adaptive Predictive Control for Long Time Delay System , 2013 .

[15]  Wanyi Gu,et al.  Study of optical control plane for translucent WDM networks , 2010, Photonic Network Communications.

[16]  Keping Long,et al.  Self-organization paradigms and optimization approaches for cognitive radio technologies: a survey , 2013, IEEE Wireless Communications.

[17]  Lei Liu,et al.  Dynamic call and connection admission control in automatically switched optical network for grid computing applications , 2011, Science China Information Sciences.