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Mobile Information Systems
Volume 2016 (2016), Article ID 7964359, 13 pages
http://dx.doi.org/10.1155/2016/7964359
Research Article

QoS Oriented Multiobjective Optimizer for Radio Resource Management of LTE-A Femtocells

Department of Computer Science, Lahore College for Women University, Jail Road, Lahore 54000, Pakistan

Received 8 March 2016; Accepted 16 June 2016

Academic Editor: Pedro M. Ruiz

Copyright © 2016 Ayesha Haider Ali and Muhammad Mohsin Nazir. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S.-B. Lee, I. Pefkianakis, A. Meyerson, S. Xu, and S. Lu, “Proportional fair frequency-domain packet scheduling for 3GPP LTE uplink,” in Proceedings of the 28th Conference on Computer Communications (IEEE INFOCOM '09), pp. 2611–2615, Rio de Janeiro, Brazil, April 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. “Physical layer aspects for evolved UTRA,” 3GPP Technical Report 25.814, version 7.1.0, 2006.
  3. M. Nazir and F. Saleemi, “Cooperative cognitive ecology in self-organizing networks: a review article,” International Journal of Computer Science and Information Security, vol. 10, no. 2, pp. 159–167, 2012. View at Google Scholar
  4. K. Deb, Multi-Objective Optimization with Evolutionary Algorithms, John Wiley & Sons, New York, NY, USA, 1st edition, 2001.
  5. J. B. K. Deb and K. M. R. Słowinski, Multi-Objective Optimization: Interactive and Evolutionary Approaches, Springer, Berlin, Germany, 2008.
  6. A. De Domenico and E. C. Strinati, “A radio resource management scheduling algorithm for self-organizing femtocells,” in Proceedings of the IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops (PIMRC '10), pp. 191–196, IEEE, Instanbul, Turkey, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. R. Kausar, Y. Chen, K. K. Chai, L. Cuthbert, and J. Schormans, “QoS aware mixed traffic packet scheduling in OFDMA-based LTE-advanced networks,” in Proceedings of the 4th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM '10), pp. 53–58, Florence, France, October 2010. View at Scopus
  8. Y. J. Zhang and K. B. Letaief, “Adaptive resource allocation and scheduling for multiuser packet-based OFDM networks,” in Proceedings of the IEEE International Conference on Communication, vol. 5, pp. 2949–2953, June 2004. View at Publisher · View at Google Scholar
  9. C. Stocchi, N. Marchetti, and N. R. Prasad, “Self-optimized radio resource management techniques for LTE-a local area deployments,” in Proceedings of the 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE '11), pp. 1–5, Chennai, India, March 2011. View at Publisher · View at Google Scholar
  10. M. Cenk Ertürk, H. Aki, I. Güvenç, and H. Arslan, “Fair and QoS-oriented spectrum splitting in macrocell-femtocell networks,” in Proceedings of the 53rd IEEE Global Communications Conference (GLOBECOM '10), pp. 1–6, Miami, Fla, USA, December 2010. View at Publisher · View at Google Scholar · View at Scopus
  11. V. Chandrasekhar and J. G. Andrews, “Spectrum allocation in tiered cellular networks,” IEEE Transactions on Communications, vol. 57, no. 10, pp. 3059–3068, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Roy and S. K. Das, Optimizing QoS-Based Multicast Routing in Wireless Networks: A Multi-Objective Genetic Algorithmic Approach, Springer, New Yok, NY, USA, 2002.
  13. D. H. Lorenz and A. Orda, “QoS routing in networks with uncertain parameters,” IEEE/ACM Transactions on Networking, vol. 6, no. 6, pp. 768–778, 1998. View at Publisher · View at Google Scholar · View at Scopus
  14. A. M. Brintrup, J. Ramsden, H. Takagi, and A. Tiwari, “Ergonomic chair design by fusing qualitative and quantitative criteria using interactive genetic algorithms,” IEEE Transactions on Evolutionary Computation, vol. 12, no. 3, pp. 343–354, 2008. View at Publisher · View at Google Scholar · View at Scopus
  15. R. Kamalian, H. Takagi, and A. Agogino, “Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation,” in Genetic and Evolutionary Computation—GECCO 2004: Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26–30, 2004. Proceedings, Part II, vol. 3103 of Lecture Notes in Computer Science, pp. 1030–1041, Springer, Berlin, Germany, 2004. View at Publisher · View at Google Scholar
  16. S. Stefania, T. Issam, and B. Matthew, The UMTS Long Term Evolution Forum Theory to Practice, John Wiley & Sons, New York, NY, USA, 2009.
  17. J. Puttonen, N. Kolehmainen, T. Henttonen, M. Moisio, and M. Rinne, “Mixed traffic packet scheduling in UTRAN long term evolution downlink,” in Proceedings of the IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC '08), pp. 1–5, Cannes, France, September 2008. View at Publisher · View at Google Scholar · View at Scopus
  18. P. Won-Hyoung, C. Sunghyun, and B. Saewoong, “Scheduling design for multiple traffic classes in OFDMA networks,” in Proceedings of the IEEE International Conference on Communications (ICC '06), pp. 790–795, Istanbul, Turky, 2006.
  19. T. Janevski, Traffic Analysis and Design of Wireless IP Networks, Artech House, Norwood, Mass, USA, 2003.
  20. K. Sandrasegaran, H. A. M. Ramli, and R. Basukala, “Delay-Prioritized Scheduling (DPS) for real time traffic in 3GPP LTE system,” in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC '10), pp. 1–6, IEEE, Sydney, Australia, April 2010. View at Publisher · View at Google Scholar · View at Scopus
  21. A. Machwe, I. C. Parmee, and J. C. Miles, “Multi-objective analysis of a component based representation within an interactive evolutionary design system,” in Proceedings of the 7th International Conference in Adaptive Computing and Design and Manufacturing, 2006.
  22. K. C. Tan, T. H. Lee, D. Khoo, and E. F. Khor, “A multiobjective evolutionary algorithm toolbox for computer-aided multiobjective optimization,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 31, no. 4, pp. 537–556, 2001. View at Publisher · View at Google Scholar · View at Scopus
  23. C. M. Fonseca and P. J. Fleming, “Multi-objective optimization and multiple constraint handling with evolutionary algorithms,” IEEE Transactions on Systems, Man, and Cybernetics: Part A: Systems and Humans, vol. 28, no. 1, pp. 38–47, 1998. View at Publisher · View at Google Scholar
  24. K. Miettinen, Nonlinear Multi-Objective Optimization, Kluwer, Boston, Mass, USA, 1999.
  25. V. Chankong and Y. Y. Haimes, Multi-Objective Decision Making Theory and Methodology, North-Holland, New York, NY, USA, 1983.
  26. K. Miettinen and M. M. Mäkelä, “Interactive bundle-based method for nondifferentiable multiobjective optimization: NIMBUS,” Optimization, vol. 34, no. 3, pp. 231–246, 1995. View at Publisher · View at Google Scholar · View at MathSciNet
  27. F. Y. Edgeworth, Mathematical Psychics: An Essay on the Application of Mathematics to the Moral Sciences, C. Kegan Paul & Co., London, UK, 1881.
  28. H. Kuhn and A. Tucker, “Nonlinear programming,” in Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability, J. Neyman, Ed., pp. 481–492, University of California Press, Berkeley, 1951.
  29. P. Korhonen, “Interactive methods,” in Multiple Criteria Decision Analysis, J. Figueira, S. Greco, and M. Ehrgott, Eds., State of the Art Surveys, pp. 641–665, Springer, New York, NY, USA, 2005. View at Google Scholar
  30. F. Moety, S. Lahoud, B. Cousin, and K. Khawam, “A heuristic algorithm for joint power-delay minimization in green wireless access networks,” in Proceedings of the International Conference on Computing, Networking and Communications (ICNC '15), pp. 280–286, IEEE, Garden Grove, Calif, USA, February 2015. View at Publisher · View at Google Scholar · View at Scopus
  31. S. Jun, N. Yi, A. Liu, and X. Haige, “Opportunistic scheduling for heterogeneous services in downlink OFDMA system,” in Proceedings of the IEEE WRI International Conference on Communications and Mobile Computing( CMC '09), pp. 260–264, Yunnan, China, January 2009. View at Publisher · View at Google Scholar
  32. H. Jutler, “Linear model with several objective functions,” Ekonomika I Matematiceckije Metody, vol. 3, pp. 397–406, 1967 (Polish). View at Google Scholar
  33. R. Solich, “Linear programming problem with several objective functions,” Przeglad Statystyczny, vol. 16, pp. 24–30, 1969 (Polish). View at Google Scholar
  34. A. H. Ali, M. Nazir, A. Afzaal, and A. Sabah, “A traffic scheduler for radio resource management of Long Term Evolution—Advanced (LTE-A),” Bahria University Journal of Information & Communication Technologies, vol. 8, no. 1, 2015. View at Google Scholar
  35. G. Piro, L. A. Grieco, G. Boggia, F. Capozzi, and P. Camarda, “Simulating LTE cellular systems: an open-source framework,” IEEE Transactions on Vehicular Technology, vol. 60, no. 2, pp. 498–513, 2011. View at Publisher · View at Google Scholar · View at Scopus