Efficient computation of outage probabilities due to polarization effects in a WDM system using a reduced stokes model and importance sampling

IEEE Photonics Technology Letters

Volumn 15, Issue 1, 2003, Pages 45-47

  Lima, Ivan T ^a,b   Lima, Aurenice O ^a,b   Zweck, John ^a,b   Menyuk, Curtis R ^a,b  

^a University of Marylandw Baltimore County   (United States)

^b IEEE   (United States)

Author keywords

Fiber properties; Optical communications; Polarization; Polarization sensitive devices

Indexed keywords

COMPUTER SIMULATION; DISPERSION (WAVES); FIBER OPTICS; GAIN MEASUREMENT; LIGHT POLARIZATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; OPTICAL COMMUNICATION; PROBABILITY DENSITY FUNCTION; Q FACTOR MEASUREMENT; WAVELENGTH DIVISION MULTIPLEXING;

OUTAGE PROBABILITY; POLARIZATION DEPENDENT GAIN; POLARIZATION DEPENDENT LOSS; POLARIZATION EFFECTS; POLARIZATION MODE DISPERSION; POLARIZATION SENSITIVE DEVICES; REDUCED STOKES MODEL;

OPTICAL SYSTEMS;

EID: 0037246189     PISSN: 10411135     EISSN: None     Source Type: Journal    
DOI: 10.1109/LPT.2002.805863     Document Type: Article

References (11)

1. E. Golovchenko, "The challenges of designing long-haul WDM systems," in Tutorial Sessions OFC 2002, 2002, Paper TuL, pp. 1-52.
2. D. Wang and C. R. Menyuk, "Calculation of penalties due to polarization effects in a long-haul WDM system using a Stokes parameter model," J. Lightwave Technol., vol. 19, pp. 487-494, Apr. 2001.
3. D. Marcuse, "Derivation of analytical expressions for the bit-error probability in lightwave systems with optical amplifiers," J. Lightwave Technol., vol. 8, pp. 1816-1823, Dec. 1990.
4. R. Y. Rubinstein, Simulation and the Monte Carlo Method. New York: Wiley, 1981.
5. I. T. Lima Jr., A. O. Lima, Y. Sun, J. Zweck, B. S. Marks, G. M. Carter, and C. R. Menyuk, "Computation of the outage probability due to the polarization effects using importance sampling," in Proc. OFC 2002, 2002, Paper TuI7, pp. 56-57.
6. G. Biondini, W. L. Kath, and C. R. Menyuk, "Importance sampling for polarization-mode dispersion," IEEE Photon. Technol. Lett., vol. 14, pp. 310-312, Mar. 2002.
7. A. O. Lima, I. T. Lima Jr., T. Adali, and C. R. Menyuk, "A novel polarization diversity receiver for PMD mitigation," IEEE Photon. Technol. Lett., vol. 14, pp. 465-467, Apr. 2002.
8. I. T. Lima Jr., G. Biondini, B. S. Marks, W. L. Kath, and C. R. Menyuk, "Analysis of PMD compensators with fixed DGD using importance sampling," IEEE Photon. Technol. Lett., vol. 14, pp. 627-629, May 2002.
9. D. Marcuse, C. R. Menyuk, and P. K. A. Wai, "Application of the Manakov-PMD equation to studies of signal propagation in optical fibers with randomly varying birefringence," J. Lightwave Technol., vol. 15, pp. 1735-1746, Sept. 1997.
10. E. Veach, "Robust Monte Carlo Methods for Light Transport Simulation," Ph.D. dissertation, Stanford University, Palo Alto, CA, 1997, Online Available: http://graphics.stanford.edu/papers/veach_thesis/.
11. P. J. Winzer, M. Pfennigbauer, M. M. Strasser, and W. R. Leeb, "Optimum filter bandwidth for optically preamplified NRZ receivers," J. Lightwave Technol., vol. 19, pp. 1263-1273, Sept. 2001.