Impact Suboptimal Signal Degradation Handoff (SDH) Properties to Handoff Parameters

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Study on mobile handoff is aim at avoiding inefficient mobile station transfer from a base station to other base station. Efficient handoff leads to smooth communication and seamless mobile station migration. This paper studies impact of cost and window length properties of the suboptimal signal degradation handoff (SDH) to handoff performance parameters such as received signal level, delay and number of handoff. Simulation results show that cost and average length increment cause signal degradation and delay increment. However, number of handoff decreases. The suggested optimal cost (c) for average window length (dr) 0 and 10 are 0.65 and 0.25. However, dr = 20 and 30 experience poor signal for any cost values.

     

     


  • Keywords


    Handoff, optimal cost, average window length

  • References


      [1] M. Gudmundson, “Analysis of Handoff Algorithms,” IEEE, pp. 537–542, 1991.

      [2] O. K. V. Veeravalli, “A Locally Optimal Handoff Algorithms for Cellular Communication,” IEEE Trans. Veh. Technol., vol. 46, no. 3, pp. 603–609, 1997.

      [3] S. C. P. Marichamy, “On Threshold Setting and Hysteresis Issues of Handoff Algorithms,” in Proc. IEEE Personal Wireless Communication Conf., 1999, pp. 436–440.

      [4] S. M. P. Marichamy, S. Chakrabarti, “Overview of Handoff Schemes in Cellular Mobile Networks and Their Comparative Performance Evaluation,” IEEE Veh. Technol., pp. 1486–1490, 1999.

      [5] A. F. S. Moghaddam, V. Tabataba, “New Handoff Initiation Algorithm (Optimum Combination of Hysteresis and Threshold Based Methods),” in EEE Veh. Technol. Conf., 2000, p. 1567–1574.

      [6] M. Z. MN. Halgamuge, HL. Vu, “Evaluation of Handoff Algorithms Using a Call Quality Measure with Signal Based Penalties,” in IEEE Commun. Society, 2006, pp. 30–35.

      [7] D. Subramaniam et al., “A Stacked Planar Antenna with Switchable Small Grid Pixel Structure for Directive High Beam Steering Broadside Radiation,” Int. J. Eng. Technol., vol. 7, no. 2.5, pp. 122–127, Mar. 2018.

      [8] H. V. D. Tripathi, JH. Reed, “Handoff in Cellular System,” EEE Commun., pp. 26–36, 1998.

      [9] M. N. Halgamuge, “Performance Evaluation and Enhancement of Mobile and Sensor Networks,” in -, 2006.

      [10] T. S. Rappaport, Wireless Communication : Principles and Pratice, 2nd ed. New Jersey: Prentice Hall, 2002.

      [11] H. Suherman, Mubarakah, N., Sagala, R.S., Prayitno, “Wifi-friendly building, enabling wifi signal indoor: An initial study,” IOP Conf. Ser. Earth Environ. Sci., vol. 126, no. 1, p. 012022, 2018.

      [12] P. D. MZ. Mahmood, “Shadow Fading in Mobile Radio Channel”,” pp. 291–295.

      [13] A. Goldsmith, Wireless Communi-cation, vol. Cambridge. 2005.

      [14] B. L. Leu, A. E., Mark, “A Discrete-Time Approach to Analyze Hard Handoff Performance in Cellular Networks,” IEEE Trans. Wirel. Commun, vol. 3, no. 5, pp. 1721–1733, 2004.

      [15] A. E. Tang, S., Mark, B. L., Leu, An Exact Solution For Outage Probability in Cellular Network. George Mason University.

      [16] U. Akar, M., Mitra, “Variations on Optimal and Suboptimal Handoff Control for Wireless Communication Systems,” IEEE J. Sel. Areas Commun, vol. 19, pp. 1173–1185, 2001.

      [17] R. Rahim, T. Afriliansyah, H. Winata, D. Nofriansyah, Ratnadewi, and S. Aryza, “Research of Face Recognition with Fisher Linear Discriminant,” IOP Conf. Ser. Mater. Sci. Eng., vol. 300, p. 012037, 2018.

      [18] and H. S. Zhou, Yan, George Cherian, “Access terminal adaptation of handover parameter,” 9,949, 2017.

      [19] G. L. Stüber, Principles of mobile communication, 3rd ed. Springer, 2017.

      [20] V. Asadi, A., Wang, Q., & Mancuso, “A survey on device-to-device communication in cellular networks,” IEEE Commun. Surv. Tutorials, vol. 16, no. 4, pp. 1801–1819, 2014.

      [21] N. Pahal, S., & Rathee, “ANALYSIS OF HYSTERESIS MARGIN FOR EFFECTIVE HANDOVER IN 4G WIRELESS NETWORKS,” ICTACT J. Commun. Technol., vol. 7, no. 4, 2016.

      [22] Y. Ardian, “ANALISIS JENIS MATERIAL TERHADAP JUMLAH KUAT SINYAL WIRELESS LAN MENGGUNAKAN METODE COST-231 MULTIWALL INDOOR,” Matrix J. Manaj. Teknol. dan Inform., vol. 7, no. 3, pp. 68–73, 2017.

      [23] M. Halgamuge, “Performance Evaluation and Enhancement of Mobile and Sensor Networks,” University of Melbourne, 2006.

      [24] M. Gudmundson, “Electronics Letter,” Correl. Model Shad. Fading Mob. Radio Syst., vol. 27, no. 23, pp. 2145–2146, 1991.

      [25] M. Alsamhi, S. H., Ansari, M., Hebah, M., Ahmed, A., Hatem, A., & Alasali, “Adaptive Handoff Prediction and Appreciate Decision Using ANFIS between Terrestrial Communication and HAP.”

      [26] T. Listyorini and R. Rahim, “A prototype fire detection implemented using the Internet of Things and fuzzy logic,” World Trans. Eng. Technol. Educ., vol. 16, no. 1, pp. 42–46, 2018.

      [27] P. harliana and R. Rahim, “Comparative Analysis of Membership Function on Mamdani Fuzzy Inference System for Decision Making,” J. Phys. Conf. Ser., vol. 930, no. 1, p. 012029, Dec. 2017.


 

View

Download

Article ID: 15349
 
DOI: 10.14419/ijet.v7i3.2.15349




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.