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海底光缆系统经济性建模及快速规划算法
Economic Modeling and Fast Planning Algorithm of Undersea Optical Cable System
- 光通信研究 2024年第3期 页码：23007201-23007207
- 作者机构：
北京邮电大学 信息光子学与光通信全国重点实验室，北京 100876
- 作者简介：
高雯静（1998-），女，山西阳泉人。硕士，主要研究方向为海底光缆通信系统的经济性研究。
高冠军，副教授。E-mail：ggj@bupt.edu.cn
- 基金信息：国家重点研发计划资助项目(2022YFB2903300);信息光子学与光通信全国重点实验室自主重点课题资助项目(IP-OC2020ZZ02);北京市自然科学基金资助项目(4232050)
DOI：10.13756/j.gtxyj.2024.230072
中图分类号： TN929.11纸质出版日期：2024-06-10，
收稿日期：2023-05-03，
修回日期：2023-08-20，
扫 描 看 全 文
高雯静，高冠军.海底光缆系统经济性建模及快速规划算法[J].光通信研究，2024（3）：230072.
Gao W J, Gao G J. Economic Modeling and Fast Planning Algorithm of Undersea Optical Cable System[J]. Study on Optical Communications, 2024（3）：230072.
高雯静，高冠军.海底光缆系统经济性建模及快速规划算法[J].光通信研究，2024（3）：230072. DOI： 10.13756/j.gtxyj.2024.230072.
Gao W J, Gao G J. Economic Modeling and Fast Planning Algorithm of Undersea Optical Cable System[J]. Study on Optical Communications, 2024（3）：230072. DOI： 10.13756/j.gtxyj.2024.230072.
摘要
【目的】
2
海底光缆在国际通信链路中占据主导地位，在进行海底光缆通信系统的规划时往往是根据经验确定几组可能的方案，然后比选出传输性能和投资成本相对较优的方案。然而，随着通信设备和通信技术的发展，可选的调制格式和光纤数量不断增加，备选方案数量较多，无法快速确定最优方案。因此，有必要建立一个海底光缆通信系统的成本最优化模型，求解成本最优的系统规划方案。
【方法】
2
针对海底光缆通信系统中的系统规划配置问题，以跨段距离、光纤类型、光纤纤对数量、中继器输出功率、调制格式和实用信道数为研究变量，建立一个以传输性能、传输容量和供电电压为约束条件的成本最优化模型，利用级联遗传-字典序法对成本最优化模型进行求解计算。
【结果】
2
结果表明，文章所提优化算法与全遍历算法的规划结果差异不超过0.34%，但该优化算法运算次数远少于全遍历算法的运算次数，仅为全遍历算法的1/100。其次，级联遗传-字典序法的运算次数受变量范围的影响小于全遍历算法。最后，通过对比不同跨段距离下海底光缆通信系统的最优成本，发现其规划结果不具有规律性。
【结论】
2
各个设计变量之间相互影响，系统的最优成本设计无法根据经验得到，需要建立模型求解；文章采用的算法不仅运算结果精确，而且运算次数较少。
Abstract
【Objective】
2
Undersea optical cable plays a leading role in international communication. In the planning of undersea optical cable communication system
several groups of possible schemes are often determined according to experience. The scheme with relatively better transmission performance and investment cost is then selected. However
with the development of communication equipment and communication technology
the number of optional modulation formats and optical fibers keeps are increasing. The number of alternative schemes is too large to quickly determine the optimal scheme. Therefore
it is necessary to establish a cost optimization model of undersea optical cable communication system to solve the cost optimal scheme.
【Methods】
2
Aiming at the problem of system planning and configuration in the undersea optical cable communication system
a cost optimization model considering the parameters of transmission performance
transmission capacity and supply voltage is established by taking the span length
optical fiber type
number of optical fiber pairs
repeater output power
modulation format and number of practical channels as the variables. The cascaded-lexicographic method is used to solve the cost optimization model.
【Results】
2
The results show that the difference between the planning results of the proposed optimization algorithm and full traversal algorithm are no more than 0.34%. However
the number of operations of the optimization algorithm proposed in this paper is far less than that of the full traversal algorithm
with only 1/100 of that of the full traversal algorithm. Secondly
the number of operations of the cascade genelexicography method is less affected by the range of variables than that of the total traversal method. Finally
by comparing the optimal cost of the undersea cable communication system under different span length
it is found that the planning results have no regularity.
【Conclusion】
2
The variables always influence each other. The optimal cost design of the system cannot be obtained according to experience
so it needs to establish a model. The algorithm used in this paper is not only accurate
but also uses fewer operation times.
关键词
海底光缆通信系统经济性建模遗传算法字典序法
Keywords
undersea optical cable communication systemeconomic modelinggenetic algorithmlexicographic method
references
Coffey V. Sea Change: The Challenges Facing Submarine Optical Communications[J]. Optics and Photonics News, 2014, 25(3): 26-33.
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Wang Z, Wang Q, Zukerman M, et al. Multiobjective Path Optimization for Eritical Infrastructure Links with Consideration to Seismic Resilience[J]. Computer-Aided Civil and Infrastructure Engineering, 2017, 32(10): 836-855.
Wang T, Wang X, Wang Z, et al. Optimal Tree Topology for a Submarine Cable Network with Constrained Iinternodal Latency[J]. Journal of Lightwave Technology, 2021, 39(9): 2673-2683.
Dar R, Winzer P J, Chraplyvy A R, et al. Cost-optimized Submarine Cables Using Massive Spatial Parallelism[J]. Journal of Lightwave Technology, 2018, 36(18): 3855-3865.
Dar R, Winzer P J, Chraplyvy A R, et al. Submarine Cable Cost Reduction Through Massive SDM[C]//2017 European Conference on Optical Communication (ECOC). Gothenburg, Sweden: IEEE, 2017: 1-3.
Downie J D, Liang X, Makovejs S. Assessing Capacity and Cost/capacity of 4-core Multicore Fibers Against Single Core Fibers in Submarine Cable Systems[J]. Journal of Lightwave Technology, 2020, 38(11): 3015-3022.
Downie J D, Liang X, Makovejs S. Modeling the Techno-economics of Multicore Optical Fibers in Subsea Transmission Systems[J]. Journal of Lightwave Technology, 2022, 40(6): 1569-1578.
Semrau D, Killey R I, Bayvel P. A Closed-Form Approximation of the Gaussian Noise Model in the Presence of Inter-Channel Stimulated Raman Scattering[J]. Journal of Lightwave Technology, 2019, 37(9): 1924-1936.
董向华. 端对端的有中继海底光缆系统设计探讨[J]. 光通信技术, 2014, 38(2): 30-33.
Dong X H. Discussion on the Design of End-to-end Relay Submarine Cable System[J]. Optical Communication Technology, 2014, 38(2): 30-33.
Desbruslais S. Maximizing the Capacity of Ultra-long Haul Submarine Systems[C]//2015 20th European Conference on Networks and Optical Communications- (NOC). London, UK: IEEE, 2015: 1-6.
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