Spectrum fragmentation metrics and their use in optical channel allocation algorithms

Author(s):  
M. Quagliotti ◽  
D.C. Arango ◽  
M. Schiano ◽  
A. Carena ◽  
M. Cantono ◽  
...  

2008 ◽  
Vol E91-B (5) ◽  
pp. 1627-1631 ◽  
Author(s):  
S. HAN ◽  
S. LEE ◽  
S. LEE ◽  
Y. KIM




2012 ◽  
Vol 66 (6) ◽  
pp. 480-490 ◽  
Author(s):  
Tânia L. Monteiro ◽  
Marcelo E. Pellenz ◽  
Manoel C. Penna ◽  
Fabrício Enembreck ◽  
Richard Demo Souza ◽  
...  


2017 ◽  
Vol 15 (1) ◽  
pp. 520-547 ◽  
Author(s):  
Shonak Bansal ◽  
Neena Gupta ◽  
Arun Kumar Singh

Abstract Nowadays, nature–inspired metaheuristic algorithms are most powerful optimizing algorithms for solving the NP–complete problems. This paper proposes three approaches to find near–optimal Golomb ruler sequences based on nature–inspired algorithms in a reasonable time. The optimal Golomb ruler (OGR) sequences found their application in channel–allocation method that allows suppression of the crosstalk due to four–wave mixing in optical wavelength division multiplexing systems. The simulation results conclude that the proposed nature–inspired metaheuristic optimization algorithms are superior to the existing conventional and nature–inspired algorithms to find near–OGRs in terms of ruler length, total optical channel bandwidth, computation time, and computational complexity. Based on the simulation results, the performance of proposed different nature–inspired metaheuristic algorithms are being compared by using statistical tests. The statistical test results conclude the superiority of the proposed nature–inspired optimization algorithms.



2006 ◽  
Author(s):  
Yang Xiao ◽  
Xihui Zhang ◽  
Xiaojiang Du ◽  
Jingyuan Zhang


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