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Golomb Ruler Sequences Optimization: A BBO Approach

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Author(s): Shonak Bansal | Shakti Kumar | Himanshu Sharma | Parvinder Bhalla

Journal: International Journal of Computer Science and Information Security
ISSN 1947-5500

Volume: 9;
Issue: 5;
Start page: 63;
Date: 2011;
Original page

Keywords: Four wave mixing | Optimal Golomb Ruler | Soft Computing | Biogeography Based Optimization

ABSTRACT
The Four Wave Mixing (FWM) crosstalk with equally spaced channels from each other is the dominant nonlinear effect in long haul, repeaterless, wavelength division multiplexing (WDM) lightwave fiber optical communication systems. To reduce FWM crosstalk in optical communication systems, unequally spaced channel allocation is used. One of the unequal bandwidth channel allocation technique is designed by using the concept of Golomb Ruler. It allows the gradual computation of a channel allocation set to result in an optimal point where degradation caused by inter–channel interference (ICI) and FWM is minimal. In this paper a new Soft Computing approach called Biogeography Based Optimization (BBO) for the generation and optimization of Golomb Ruler sequences is applied. It has been observed that BBO approach perform better than the two other existing classical methods i.e. Extended Quadratic Congruence (EQC) and Search Algorithm (SA).

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