ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
권호 표지
DOI QR코드

DOI QR Code

Modeling and cost analysis of zone-based registration in mobile cellular networks

  • Jung, Jihee (CAMTIC) ;
  • Baek, Jang Hyun (Department of Industrial & Information Systems Engineering and the RCIT, Chonbuk National University)
  • Received : 2018.01.16
  • Accepted : 2018.06.25
  • Published : 2018.12.06
Download PDF
⟨ Previous Next ⟩

Abstract

This study considers zone-based registration (ZBR), which is adopted by most mobile cellular networks. In ZBR, a user equipment (UE) registers its location area (or zone) in a network database (DB) whenever it enters a new zone. Even though ZBR is implemented in most networks for a UE to keep only one zone (1ZR), it is also possible for a UE to keep multiple zones. Therefore, a ZBR with two zones (2ZR) is investigated, and some mathematical models for 2ZR are presented. With respect to ZBR with three zones (3ZR), several studies have been reported, but these employed computer simulations owing to the complexity of the cases, and there have been no reports on a mathematical 3ZR model to analyze its performance. In this study, we propose a new mathematical model for 3ZR for the first time, and analyze the performance of 3ZR using this model. The numerical results for various scenarios show that, as the UE frequently enters zones, the proposed 3ZR model outperforms 1ZR and 2ZR. Our results help determine the optimal number of zones that a UE keeps, and minimize the signaling cost for radio channels in mobile cellular networks.

Keywords

References

  1. A. Mukherjee and D. Debashis, Location management in mobile network: A survey, Comput. Sci. Rev. 19 (2016), no. 1, 1-14. https://doi.org/10.1016/j.cosrev.2015.12.001
  2. H. Ali-Ahmad et al., Analysis of SIP-based location updates in distributed mobility management schemes, Int. Conf. Innovative Mobile and Internet Services in Ubiquitous Comput., Taichung, Taiwan, July 3-5, 2013, pp. 13-18.
  3. Z. Mao and C. Douligeris, A location-based mobility tracking scheme for PCS networks, Comput. Commun. 23 (2000), no. 18, 1729-1739. https://doi.org/10.1016/S0140-3664(00)00202-4
  4. J. Baek, T. Lee, and C. Kim, Performance analysis of 2-location distance-based registration in mobile communication network, IEICE Trans. Commun. E96.B (2013), no. 3, 914-917. https://doi.org/10.1587/transcom.E96.B.914
  5. I. F. Akyildiz, J. S. M. Ho, and Y.-B. Lin, Movement-based location update and selective paging for PCS networks, IEEE/ACM Trans. Netw. 4 (1996), no. 4, 629-638. https://doi.org/10.1109/90.532871
  6. X. Wang et al., Cost analysis of movement-based location management in PCS networks: An embedded Markov chain approach, IEEE Trans. Veh. Technol. 63 (2013), no. 4, 1886-1902. https://doi.org/10.1109/TVT.2013.2285118
  7. K. H. Seo and J. H. Baek, Reducing location registration cost in mobile cellular networks, ETRI J. 37 (2015), no. 6, 1087-1095. https://doi.org/10.4218/etrij.15.0115.0170
  8. K. Li, Analysis of cost and quality of service of time-based dynamic mobility management in wireless networks, Wireless Netw. 20 (2014), no. 2, 261-288. https://doi.org/10.1007/s11276-013-0602-0
  9. A. I. Saleh, A. Ali-Eldin, and A. A. Mohamed, Historical based location management strategies for PCS networks, Wireless Netw. 23 (2017), no. 6, 1967-1992. https://doi.org/10.1007/s11276-016-1268-1
  10. TIA/EIA/IS-95-B, Mobile station-base station compatibility standard for dual-mode wideband spread spectrum cellular system, 1999.
  11. Y.-B. Lin, Reducing location update cost in a PCS network, IEEE/ACM Trans. Netw. 5 (1997), no. 1, 25-33. https://doi.org/10.1109/90.554719
  12. J.-H. Baek et al., Mobility model and performance analysis for zone-based registration in CDMA mobile communication system, Telecommun. Syst. 14 (2000), no.1-4, 13-29. https://doi.org/10.1023/A:1019172913121
  13. H.-S. Jang, H. Hwang, and K.-P. Jun, Modeling and analysis of two-location algorithm with implicit registration in CDMA personal communication network, Comput. Ind. Eng. 41 (2001), no. 1, 95-110. https://doi.org/10.1016/S0360-8352(01)00044-4
  14. W. M. Baek, J. H. Yoon, and C. Kim, Modeling and analysis of mobility management in mobile communication networks, The Scientific World J. 2014 (2014), 250981.
  15. J. H. Baek, Analyzing zone-based registration in mobile cellular networks, IEICE Trans. Commun. E100.B (2017), no. 11, 2070-2078. https://doi.org/10.1587/transcom.2016EBP3350
  16. J. H. Park, J. Jung, and J. Baek, Modeling and analysis of zone-based registration in mobile communication network by considering busy-line effect and implicit registration, Asia-Pacific J. Oper. Res. 33 (2016), no. 4, 1-16.
  17. T. Deng et al., Modeling and performance analysis of a Tracking-area-list-based location management scheme in LTE networks, IEEE Trans. Veh. Technol. 65 (2016), no. 8, 6417-6431. https://doi.org/10.1109/TVT.2015.2473704
  18. Y.-B. Lin, R.-H. Liou, and C.-T. Chang, A dynamic paging scheme for long-term evolution mobility management, Wireless Commun. Mobile Comput. 15 (2015), no. 4, 629-638. https://doi.org/10.1002/wcm.2371
  19. L. Chen et al., Modeling the tracking area planning problem using an evolutionary multi-objective algorithm, IEEE Comput. Intell. Mag. 12 (2017), no. 1, 29-41. https://doi.org/10.1109/MCI.2016.2627669
  20. Q. Zhang, S. K. Das, and A. Rodriguez-Carrion, A 2-D random walk mobility model for WiMAX location update, Comput. Commun. 78 (2016), 86-96. https://doi.org/10.1016/j.comcom.2015.08.019
  21. S. Ross, Introduction to probability models, 11th ed., Oxford, UK, Elsevier, 2014.

Cited by

  1. Analyzing Zone-Based Registration Using a Three Zone System: A Semi-Markov Process Approach vol.10, pp.16, 2018, https://doi.org/10.3390/app10165705
  2. Improvement and Performance Evaluation When Implementing a Distance-Based Registration vol.11, pp.15, 2018, https://doi.org/10.3390/app11156823
  3. Mobility Management Scheme with Mobility Prediction in Wireless Communication Networks vol.12, pp.3, 2022, https://doi.org/10.3390/app12031252