Proposed Resource Allocation Schemes for Rainy Free Space Optical Network

Abdallah S. Ghazy, Hossam A. I. Selmy, Hossam M. H. Shalaby

2016

Abstract

Free space optical (FSO) connections present promising solution for the limited access issue of the last mile networks. However, several factors contribute to significant FSO link performance degradation. One of Most serious conditions is the influence of the rain, that frequently appear, thus making the implementation of strongly connected FSO networks a demanding issue. Dynamic FSO networks is attractive ones over the robust static ones, i.e, partial and full relayed networks, for this demanding issue. In this paper two new resource allocation Schemes are proposed for cooperative-dynamic FSO networks, as attractive solution for both atmospheric variation and high cost of robust static network problems. Each Scheme is formulated as integer linear multi-objective optimization problem (ILP-MOP), where reliability-fairness, capacity and bit-error rate functions are targeted. And each scheme is composed of lexicographic, lex-max-min and lex-min-max criteria. Each ILP-MOP is solved using exhaustive search method to obtain the guaranteed optimal solution(s). The simulation results is used to reveal that two schemes are more reliable-fairness and cost efficient than the robust static topology, specially at sever weather conditions. Also, the results show the two schemes have different behavior, where one prioritize the reliability-fairness over capacity utilization and the another does the opposite.

References

  1. Bloom, S., Korevaar, E., Schuster, J., and Willebrand, H. (2003). Understanding the performance of freespace optics [invited]. Journal of optical Networking, 2(6):178-200.
  2. Dat, P. T., Bekkali, A., Kazaura, K., Wakamori, K., and Matsumoto, M. (2010). A universal platform for ubiquitous wireless communications using radio over fso system. Journal of Lightwave Technology, 28(16):2258-2267.
  3. Gagliardi, R. M. and Karp, S. (1995). Optical Communications. Wiley, New York, 2ed edition.
  4. Isermann, H. (1982). Linear lexicographic optimization. Operations-Research-Spektrum, 4(4):223-228.
  5. Jain, R., Chiu, D., and Hawe, W. (1998). A quantitative measure of fairness and discrimination for resource allocation in shared computer systems. arXiv preprint cs/9809099.
  6. Kashani, M. A., Safari, M., and Uysal, M. (2013). Optimal relay placement and diversity analysis of relayassisted free-space optical communication systems. Journal of Optical Communications and Networking, 5(1):37-47.
  7. Khalighi, M. A. and Uysal, M. (2014). Survey on free space optical communication: A communication theory perspective. Communications Surveys & Tutorials, IEEE, 16(4):2231-2258.
  8. Kim, I. I., McArthur, B., and Korevaar, E. J. (2001). Comparison of laser beam propagation at 785 nm and 1550 nm in fog and haze for optical wireless communications. In Information Technologies 2000, pages 26- 37. International Society for Optics and Photonics.
  9. Marler, R. T. and Arora, J. S. (2004). Survey of multi-objective optimization methods for engineering. Structural and multidisciplinary optimization, 26(6):369-395.
  10. Milner, S. D., Ho, T.-H., Smolyaninov, I. I., Trisno, S., and Davis, C. C. (2002). Free-space optical wireless links with topology control. In International Symposium on Optical Science and Technology, pages 175-180. International Society for Optics and Photonics.
  11. Ogryczak, W. and SliwiÁski, T. (2006). On direct methods for lexicographic min-max optimization. In Computational Science and Its Applications-ICCSA 2006, pages 802-811. Springer.
  12. Paar, C. and Pelzl, J. (2009). Understanding cryptography: a textbook for students and practitioners. Springer Science & Business Media.
  13. recommendation ITU-R P.1814, I. (2007). Prediction methods required for the design of terrestrial free-space optical links.
  14. Refai, H. H., Sluss, J. J., Refai, H. H., and Atiquzzaman, M. (2006). Comparative study of the performance of analog fiber optic links versus free-space optical links. Optical Engineering, 45(2):025003-025003.
  15. Vavoulas, A., Sandalidis, H. G., and Varoutas, D. (2012). Weather effects on fso network connectivity. Journal of Optical Communications and Networking, 4(10):734-740.
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Paper Citation


in Harvard Style

Ghazy A., Selmy H. and Shalaby H. (2016). Proposed Resource Allocation Schemes for Rainy Free Space Optical Network . In Proceedings of the 4th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS, ISBN 978-989-758-174-8, pages 74-81. DOI: 10.5220/0005688400740081


in Bibtex Style

@conference{photoptics16,
author={Abdallah S. Ghazy and Hossam A. I. Selmy and Hossam M. H. Shalaby},
title={Proposed Resource Allocation Schemes for Rainy Free Space Optical Network},
booktitle={Proceedings of the 4th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS,},
year={2016},
pages={74-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005688400740081},
isbn={978-989-758-174-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS,
TI - Proposed Resource Allocation Schemes for Rainy Free Space Optical Network
SN - 978-989-758-174-8
AU - Ghazy A.
AU - Selmy H.
AU - Shalaby H.
PY - 2016
SP - 74
EP - 81
DO - 10.5220/0005688400740081