Model of evolution of scheduling sub-channels to improve quality of service in wimax network

Authors

  • Haider Dheyaa AL-Janabi Odessa National O.S. Popov Academy of Telecommunications st. Kovalska1, Odesa, Ukraine, 65000, Ukraine
  • Hussam Dheyaa AL-Janabi Іmam Jafar al-Sadіk unіversitet,, Iraq, Baghdad, Іmam Jafar al-Sadіk unіversitet, Iraq https://orcid.org/0000-0001-6331-0530
  • Aymen Mohammed Al-Dulaimi Odessa National Academy of Telecommunications. AS Popov st. Kovalska, 1, Odesa, Ukraine, 65000, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2015.39017

Keywords:

WiMAX, IEEE 802.16, wireless network, allocation of sub-channels, self-organization, mathematical model, scaling

Abstract

Based on the Flaws of the known mechanisms of the frequency resources scheduling in the download channel, the problem, which is raised in this paper is assuring QoS by available resources which directly influence the quality of the equipment design. The WiMAX resource allocation algorithms determine which users to schedule, how to allocate subcarriers to them, and how to determine the appropriate power levels for each user on each subcarrier. We present a brief survey of recent scheduling research. The goals of scheduling are to achieve the optimal usage of resources, to assure the QoS guarantees, the mathematical model introduced by a number of linear and nonlinear conditions-limitations is analyzed in this research. Therefore, the model that consists in the statement of the sub-channels scheduling task is proposed. This model gives a solution of tasks of rescheduling of the accessible capacity of the download channel of the WiMAX technology for the information transmission in the direction of users stations, taking into account their territorial remoteness.

Author Biographies

Haider Dheyaa AL-Janabi, Odessa National O.S. Popov Academy of Telecommunications st. Kovalska1, Odesa, Ukraine, 65000

graduate student

Department of Telecommunication Systems

Hussam Dheyaa AL-Janabi, Іmam Jafar al-Sadіk unіversitet,, Iraq, Baghdad, Іmam Jafar al-Sadіk unіversitet

PhD

Department of Software Engineering

Aymen Mohammed Al-Dulaimi, Odessa National Academy of Telecommunications. AS Popov st. Kovalska, 1, Odesa, Ukraine, 65000

graduate student

Department of Telecommunication Systems

References

  1. IEEE Standard for Local and Metropolitan Area Networks - Part 16: Air Interface for Fixed Broadband Wireless Access Systems (2004). IEEE Std 802.16-2004, 290.
  2. IEEE Standard for Local and Metropolitan Area Networks - Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems (2006). IEEE Std 802.16e-2005.
  3. Garkusha, S., Ahmed, H. A. (2013). Slot Allocation Model and Data Burst Scheduling in Downlink WiMAX Technology. Proc. of 12th International Conference the Experience of Designing and Application of Cad Systems in Microelectronics (CADSM 2013). Polyana, Ukraine, 97–100.
  4. Ergen, M., Coleri, S., Varaiya, P. (2003). Qos aware adaptive resource allocation techniques for fair scheduling in ofdma based broadband wireless access systems. IEEE Transactions on Broadcasting, 49 (4), 362–370. doi: 10.1109/tbc.2003.819051
  5. Garkusha, S. V. (2014). Model and methods for improving productivity of wireless telecommunication system based on optimal allocation of network resources- manuscript. Telecommunicatin systems and network kharkiv National University of Radioelectronic.kharkiv.
  6. Lemeshko, O., Garkusha, S. (2013). Slot Allocation Model and Data Burst Scheduling in Downlink WiMAX Technology. Proc. of IEEE XXXIII International Scientific Conference Electronics and Nanotechnology. Kyiv, UKRAINE, 455–459. doi: 10.1109/elnano.2013.6552064
  7. Sateesh, G., Bheri, P., Rajesh, P., Rama Rao, A. (2012). Analysis of the Packet Scheduling Algorithms of WiMAX. Proceedings of International Conference on Computer Science and Engineering, 106–110.
  8. MustaphaA.Abuteir, R., A. Abu Samra, A. (2012). Deadline Maximum Signal to Interference Ratio Scheduling Algorithm for WiMAX. IJCA, 43 (5), 27–32. doi: 10.5120/6100-8297
  9. Lemeshko, A. V., Garkusha, S. V. (2013). Model time-frequency resource allocation WiMAX aimed at improving the electromagnetic compatibility // Proceedings of the 2013 IX International Conference on Antenna Theory and Techniques (ICATT). Odessa, Ukraine, 175–177. doi: 10.1109/icatt.2013.6650716
  10. Garkusha, S., Al-Azzawi, E. M. (2014). Model of Transmission Rate Allocation WiMAX with Taking Into Account the Defined Priorities. Proceedings of the XII International Conference Modern Problems of Radio Engineering, Telecommunications, and Computer Science (TCSET’2014). Lviv-Slavske, Ukraine, 504–506.

Downloads

Published

2015-04-20

How to Cite

AL-Janabi, H. D., AL-Janabi, H. D., & Al-Dulaimi, A. M. (2015). Model of evolution of scheduling sub-channels to improve quality of service in wimax network. Eastern-European Journal of Enterprise Technologies, 2(9(74), 25–29. https://doi.org/10.15587/1729-4061.2015.39017

Issue

Section

Information and controlling system