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Performance Analysis of an Improved Common Radio Resource Management Algorithm Based on Load Balance and Service Characteristics

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Abstract

In order to provide users with satisfactory quality of service and reduce service cost as much as possible, a key issue is how to manage radio resources reasonably and effectively in heterogeneous wireless networks (HWNs). Based on load balance and service characteristics, a common radio resource management (CRRM) algorithm for HWNs consisting of CDMA2000 and IEEE802.11 is proposed. The proposed algorithm selects appropriate access and handoff networks for new and handoff calls respectively, according to users’ mobility characteristic, location information, service type and network load. The performance of the proposed algorithm is analyzed based on a three-dimensional Markov chain model. Based on the HWNs model and handoff rate analysis, the model’s parameters are determined. In order to resolve the steady-state distribution of the three-dimensional Markov model, successive over-relaxation iteration method is adopted to work out steady state equations. According to the steady state probabilities of the Markov model, the closed formulas of HWNs performance metrics are given to evaluate the proposed CRRM algorithm, e.g. call blocking probability, handoff blocking probability, throughput, and service cost. For the purpose of illustrating advantages of the proposed algorithm, two other CRRM algorithms are employed for comparison. The simulation results show that the proposed algorithm can effectively reduce call blocking probability, and improve HWNs throughput.

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References

  1. Serrador, A., Carniani, A., Corvino, V., & Correia, L. M. (2010). Radio access to heterogeneous wireless networks through JRRM strategies. In Future network and mobile summit (pp. 1–8), June 16–18, 2010.

  2. 3GPP. (2001). Improvement of RRM across RNS and RNS/BSS (release 5).TR 25.881 v5.0.0.

  3. 3GPP. (2003). Improvement of RRM across RNS and RNS/BSS(release 6). TR 25.891 v0.3.0.

  4. Wu L., & Sandrasegaran, K. (2007). A survey on common radio resource. Management wireless broadband and ultra wideband communications. In The 2nd international conference on AusWireless (pp. 66–66), August 2007.

  5. Perez-Romero, J., & Salient, O. (2006). Loose and tight interworking between vertical and horizontal handovers in multi-RAT scenarios. In IEEE Mediterranean electrotechnical conference (pp. 579–582), May 2006.

  6. Perez-Romero, J., Salient, O., & Agusti, R. (2007). A Generalized framework for multi-RAT scenarios characterisation. In IEEE VTC2007-Spring vehicular technology conference (pp. 980–984), April 2007.

  7. Bühler J., Wunder G. (2010) Traffic-aware optimization of heterogeneous access management. IEEE Transactions on Communications 58(6): 1737–1747

    Article  Google Scholar 

  8. Pérez-Romero, J., Sallent, O., & Agustí, R. (2005). Policy-based initial RAT selection algorithms in heterogeneous networks. In IEEE 7th mobile wireless communication networks conference (pp. 1–5), 2005.

  9. Vanem, E., Svaet, S., & Paint, F. (2003). Effects of multiple access alternatives in heterogeneous wireless networks. In IEEE wireless communications and networking conference (pp.1696–1700), March 2003.

  10. Tolli, A., & Hakalin, P. (2002). Adaptive load balancing between multiple cell layers. In IEEE vehicular technology conference (pp.1691–1695), 2002.

  11. Guoqin, N., Guangxi, Z., Liexin, P., & Xiaofeng L. (2005). Load balancing based on traffic selection in heterogeneous overlapping cellular networks. In The first IEEE and IFIP international conference in central Asia on internet (pp. 5–100), September 2005.

  12. Hyukmin S., Sanghoon L., Soo-Chang K., Yeon-Seung S. (2008) Soft load balancing over heterogeneous wireless networks. IEEE Transactions on Vehicular Technology 57(4): 2632–2638

    Article  Google Scholar 

  13. Hasib A., Fapojuwo A. O. (2008) Analysis of common radio resource management scheme for end-to-end QoS support in multiservice heterogeneous wireless networks. IEEE Transactions on Vehicular Technology 57(4): 2426–2439

    Article  Google Scholar 

  14. Hasib A., Fapojuwo A. O. (2008) Mobility model for heterogeneous wireless networks and its application in common radio resource management. IET Communications 2(9): 186–1195

    Article  Google Scholar 

  15. Azhari V. S., Smadi M., Todd T. D. (2008) Fast client-based connection recovery for soft WLAN-to-cellular vertical handoff. IEEE Transactions on Vehicular Technology 57(2): 1089–1102

    Article  Google Scholar 

  16. Abdul, H., & Fapojuwo, A. D. (March 2007). Performance analysis of common radio resource management scheme in multi-service heterogeneous wireless networks. In IEEE wireless communications and networking conference (pp. 3296–3300), March 2007.

  17. Leijia, W., Sandrasegaran, K., & Elkashlan, M. (2010). A Markov model for performance evaluation of CRRM algorithms in a co-located GERAN/UTRAN/WLAN scenario. In IEEE wireless communications and networking conference workshops (pp. 1–6), April 2010.

  18. Shi Z., Zhu Q. A. (2012) Vertical handoff rate analysis based on angle mobility model in heterogeneous networks[J]. Signal Processing 28(7): 1029–1036

    Google Scholar 

  19. Gross D., harris C. M. (1985) Fundamentals of queuing theory. John Wiley & Sons, New York

    Google Scholar 

  20. Golub G. H., Van Loan C. F. (1996) Matrix computations. The Johns Hopkins University Press, Baltimore and London

    MATH  Google Scholar 

  21. Zhao, W. B. (2008). Simulation Research on Coverage and Capacity in cdma2000 1x EV-DO Network. Southwest Jiaotong University, Communication and Information System, 18–19.

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Authors and Affiliations

  1. Jiangsu Key Lab of Wireless Communications, Key Lab on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education, Department of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, 210003, Jiangsu, China

    Zheng Shi, Qi Zhu & Xiaorong Zhu

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  1. Zheng Shi
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  2. Qi Zhu
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  3. Xiaorong Zhu
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Correspondence to Qi Zhu.

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Shi, Z., Zhu, Q. & Zhu, X. Performance Analysis of an Improved Common Radio Resource Management Algorithm Based on Load Balance and Service Characteristics. Wireless Pers Commun 71, 317–338 (2013). https://doi.org/10.1007/s11277-012-0817-x

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  • DOI: https://doi.org/10.1007/s11277-012-0817-x

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