An Optimized Handover Model for GSM Networks using Regression Analysis

References

[1] K. Jahangir, “Handover management in GSM cellular system,” International Journal of Computer Applications (0975–8887), vol. 8, no. 12, Oct. 2010. International Journal of Computer Applications

[2] K. Ioannou, S. Louvros, I. Panoutsopoulos, S. Kotsopoulos, and G. K. Karagiannidis, “Optimizing the Handover Call Blocking Probability in Cellular Networks With High Speed Moving Terminals,” IEEE Communication Letters., vol. 6, no. 10, Oct. 2002, p. 1.

[3] Chi Wan Sung, Member, IEEE, “Analysis of Fade Margins for Soft and Hard Handoffs in Cellular CDMA Systems,” IEEE Transactions on Wireless Communications, vol. 2, no. 3, May 2003, p. 432.

[4] Jahangir Khan et al., “Cellular Handover Approaches in 2.5G to 5G Technology,” International Journal of Computer Applications (0975–8887), vol. 21, no. 2, May 2011. International Journal of Computer Applications

[5] John Scouriars, “Overview of the Global Systems for MobileCommunication”; http://jscouria@www.shoshin.uwaterloo.ca

[6] A. Bhuvaneswari and Dr. E. George Dharma Prakash Raj, “Survey on Handoff Techniques,” Journal of Global Research in Computer Science, vol. 2, no. 6, Jun. 2011, p. 140.

[7] G. P. Pollini, “Trends in Handover Design,” IEEE Communications Magazine, Mar. 1996, pp. 82–90. IEEE

[8] W. Li and A. S. Alfa, “Channel reservation for handoff calls in a PCS network,” IEEE Trans. Veh. Technol., vol. 49, Jan. 2000, pp. 95–104. IEEE

[9] Kee Chaing Chua and S. Y. Choo, “Probabilistic Channel Reservation Scheme for Mobile Pico/Microcellular Networks,” IEEE Communication letters, vol. 2, no. 7, Jul. 1998, pp. 195–196.

[10] H. G. Ebersman and O. K. Tonguz, “Handover ordering using signal prediction priority queuing in personal communication systems,” IEEE Trans.Veh. Technol., vol. 48, Jan. 1999, pp. 20–35. IEEE

[11] Dharma P. Agrawal et al., “Performance Analysis of Handoff Schemes with Preemptive and Nonpreemptive Channel Borrowing in Integrated Wireless Cellular Networks,” IEEE Transactions on wireless communications, vol. 4, no. 3, May 2005, pp. 1222–1233.

[12] Ming-Hui Jin et al., “An Intelligent Handover Scheme for the Next Generation Personal Communication Systems,” Journal of Communications and Networks, vol. 6, no. 3, Sep. 2004, pp. 245–257. IEEE

[13] Jochen Schiller, Mobile Communications, 2nd ed. Addison Wesley, 2003, p. 117.

[14] F. I. Onah, M. O. Ezeja, and C. I. Ani, “Resource Reservation Technique for Handover Calls using Integrated Modeling Technique,” 8th IEEE Design and Test Symposium, Morocco, Dec. 16–18, 2013, pp. 1–6. IEEE

@article{1723443,
      author = {Ezeja Obinna Michael},
      title = {An Optimized Handover Model for GSM Networks using Regression Analysis},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {9},
      pages = {545-551},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1723443.pdf},
      abstract = {The goal of handover models and schemes in communication networks is to provide an efficient process for transfer of connection between adjacent cells when necessary. This is aimed at ensuring call continuity and sustainable Quality of Service. Moreover, the performance of a communication network system revolves around efficient allocation of resources. Against this background, this work presents a Resource Reservation Model involving an analytical process that starts with the derivation of the call blocking and call dropping probabilities using the Markov chain state equations based on a physical model. In this work, regression analysis is carried out on a simulation data which captures the total system capacity under test. A more reliable function for the determination of optimum reservations required in a system is thus derived.},
      keywords = {Call blocking probability, Call drop probability, Handover, Regression Analysis, Resource Reservation.},
      month = {March},
  }