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Optimal joint utility based load balancing algorithm for heterogeneous wireless networks

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Abstract

The rapid development of mobile broadband services with continuously increasing traffic volumes has resulted in a number of challenges, including ubiquitous network coverage, high bandwidth, and reliable services for reasonable price, etc. To address these challenges, evolved packet system (EPS) is proposed as the evolution of the packet core network. While resource management and load balancing issues in EPS are discussed in 3GPP standardization, relatively few research works consider mechanism design for load information monitoring and evaluation. Furthermore, even though some load balancing algorithms have been proposed for integrated networks, the load balancing scheme design which achieves the optimization of joint system performance has not been extensively studied. In this paper, an inter-access system anchor based load balancing mechanism is introduced which performs load monitoring and evaluation for access gateways and networks, and an optimal load balancing algorithm is proposed for heterogeneous integrated networks. To characterize the performance of integrated networks, the concept of utility function is introduced and the comprehensive performance of integrated networks which support both single type service and multimedia service is modeled mathematically. Applying vertical handoff as an efficient mechanism for achieving load balancing, the optimal number of handoff users is obtained through solving the optimization problem. Numerical results demonstrate that load balancing between access networks can be achieved, and the optimal number of handoff users corresponding to the maximal joint network utility can be obtained.

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References

  1. Zhang, J., Andrews, J. G., & Muhamed, R. (2010). Fundamentals of LTE. Englewood Cliffs NJ: Prentice Hall.

    Google Scholar 

  2. Olsson, M., Rommer, S., Sultana, S., Frid, L., & Mulligan, C. (2009). SAE and the evolved packet core. New York: Academic Press.

    Google Scholar 

  3. Song, W., Zhuang, W., & Cheng, Y. (2007). Load balancing for cellular/WLAN integrated networks. IEEE Networks, 21(1), 27–33.

    Article  Google Scholar 

  4. Liu, Q., Yuan, J., Shan, X., Wang, Y., & Su, W. (2010). Dynamic load balance scheme based on mobility and service awareness in integrated 3G/WLAN networks. In Proceedings of IEEE Global Mobile Congress (pp. 1–6).

  5. Lian, R. R., Tian, H., Fei, W. C., Miao, J., & Wang, C. R. (2012). QoS-aware load balancing algorithm for joint group call admission control in heterogeneous networks. In Proceedings of IEEE 75th VTC (pp. 1–5).

  6. Tabrizi, H., Farhadi G., & Cioffi, J. (2011). A learning-based network selection method in heterogeneous wireless systems. In Proceedings of 2011 IEEE GLOBECOM (pp. 1–5).

  7. Wu, L., Sabbagh, A., Sandrasegaran, K., Elkashlan, M., & Lin, C. C. (2010). Performance evaluation on common radio resource management algorithms. In Proceedings of IEEE the 24th international conference on advanced information networking and applications (pp. 491–495).

  8. Lee, S., Sriram, K., Kim, K., Kim, Y. H., & Golmie, N. (2009). Vertical handoff decision algorithms for providing optimized performance in heterogeneous wireless networks. IEEE Transactions on Vehicular Technology, 58(2), 865–881.

    Article  Google Scholar 

  9. Yu, Y., Hu, Q. Y., Cai, Z. J. (2011). Optimal load balancing and its heuristic implementation in a heterogeneous relay network. In Proceedings of 2011 IEEE GLOBECOM (pp. 1–6).

  10. Haddad, M., Elayoubi, S. E., Altman, E., & Altman, Z. (2011). A hybrid approach for radio resource management in heterogeneous cognitive networks. IEEE Journal on Selected Areas in Communications, 29(4), 831–842.

    Article  Google Scholar 

  11. Lopez, C., Aruero, R., Choque, J., & Munoz, L. (2012). On the equilibrium of resource allocation for heterogeneous wireless access networks. In Proceedings of IEEE 23rd PIMRC, (pp. 1049-1054).

  12. Zhou, S., Niu, Z. S., Yang, P., & Tanabe, S. (2013). CHORUS: A framework for scalable collaboration in heterogeneous networks with cognitive synergy. IEEE Wireless Communications, 133–139.

  13. Son, H., Lee, S., Kim, S. C., & Shin, Y. S. (2008). Soft load balancing over heterogeneous wireless networks. IEEE Transactions on Vehicular Technology, 57(4), 2632–2638.

    Article  Google Scholar 

  14. Li, B., & Yang, D. C. (2011). An effective cooperative load balancing scheme for heterogeneous network. In Proceedings of IEEE 73rd VTC (pp. 1–5).

  15. Singh, S., Dhillon, H. S., & Andrews, J. G. (2013). Offloading in heterogeneous networks: Modeling, analysis, and design insights. IEEE Transactions on Wireless Communications, 12(5), 2484–2497.

    Article  Google Scholar 

  16. Xue, C., Luo, J., Halfmann, R., Schulz, E., & Hartmann, C. (2009). Inter GW load balancing for next generation mobile networks with flat architecture. In Proceedings of IEEE 69th VTC, pp. 1–5.

  17. Tom, M. M. (1997). Machine learning. New York: McGraw-Hill.

    Google Scholar 

  18. Esmailpour, A., & Nasser, N. (2011). Dynamic QoS-based bandwidth allocation framework for broadband wireless networks. IEEE Transactions on Vehicular Technology, 60(6), 2690–2700.

    Article  Google Scholar 

  19. Acharya, J., & Yates, R. D. (2009). Dynamic spectrum allocation for uplink users with heterogeneous utilities. IEEE Transactions on Wireless Communications, 8(3), 1405–1413.

    Article  Google Scholar 

  20. Ismail, M., & Zhuang, W. (2012). A distributed multi-service resource allocation algorithm in heterogeneous wireless access medium. IEEE Journal on Selected Areas in Communications, 30(2), 425–432.

    Article  Google Scholar 

  21. Pei, X., Jiang, T., Qu, D., Zhu, G., & Liu, J. (2010). Radio resource management and access control mechanism based on a novel economic model in heterogeneous wireless networks. IEEE Transactions on Vehicular Technology, 59(6), 3047–3056.

    Article  Google Scholar 

  22. Chai, R., Dong, X. Y., Ma, J., & Chen, Q. B. (2011) An optimal IASA load balancing scheme in heterogeneous wireless networks, In Proceedings of 6th International ICST Conference on Communications and Networking in China (CHINACOM) (pp. 714–719).

  23. Nasser, N., Hasswa, A., & Hassanein, H. (2006). Handoffs in fourth generation heterogeneous networks. IEEE Communications Magazine, 44(10), 96–103.

    Article  Google Scholar 

  24. Libnik, R., Svigelj, A., & Kandus, G. (2010). A novel SIP based procedure for congestion aware handover in heterogeneous networks. Computer Communications, 33(18), 2176–2184.

    Article  Google Scholar 

  25. Shenker, S. (1995). Fundamental design issues for the future Internet. IEEE Journal on Selected Areas in Communications, 13(7), 1176–1188.

    Article  Google Scholar 

  26. Stevens-Navarro, E., Lin, Y., & Wong, V. W. (2008). An MDP-based vertical handoff decision algorithm for heterogeneous wireless networks. IEEE Transactions on Vehicular Technology, 57(2), 1243–1254.

    Article  Google Scholar 

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Acknowledgments

This work was supported by National Natural Science Foundation of China (61102063, 61171111), National Science and Technology Specific Project of China (2011ZX03005-004-02), the special fund of Chongqing key laboratory (CSTC) and the project of Chongqing Municipal Education Commission (Kjzh11206).

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Authors and Affiliations

  1. Key Lab of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

    Rong Chai, Huili Zhang, Xiaoyu Dong & Qianbin Chen

  2. Department of Signals and Systems, Chalmers University of Technology, Göteborg, Sweden

    Tommy Svensson

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  1. Rong Chai
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  2. Huili Zhang
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  3. Xiaoyu Dong
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  4. Qianbin Chen
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  5. Tommy Svensson
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Correspondence to Huili Zhang.

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Chai, R., Zhang, H., Dong, X. et al. Optimal joint utility based load balancing algorithm for heterogeneous wireless networks. Wireless Netw 20, 1557–1571 (2014). https://doi.org/10.1007/s11276-014-0695-0

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  • DOI: https://doi.org/10.1007/s11276-014-0695-0

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