IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v5y2011i2p57.html
   My bibliography  Save this article

QoS Reliability in GPRS Systems

Author

Listed:
  • Moses Ekpenyong

Abstract

Wireless link quality is closely related to the received signal strength. Hence, transmit power control can be used to adjust the communication link quality to avoid asymmetric or weak links. This paper proposes a spatial radio resource model for quality of service (QoS) reliability in General Packet Radio Service (GPRS) networks. To model the propagation parameters, we adopt the empirical modeling approach by measuring signal outages at various base stations from a well established network, operating in Nigeria. We collect these data over a period of three months and apply the resultant data as parameters to the proposed model. We simulate the model under ideal conditions and evaluate the system’s performance as well as the power control tradeoff. A qualitative analysis using processed GIS maps, calls for effective power control in the system. Simulation results indicate that the existing system still requires further improvements to enhance its QoS reliability.

Suggested Citation

  • Moses Ekpenyong, 2011. "QoS Reliability in GPRS Systems," Modern Applied Science, Canadian Center of Science and Education, vol. 5(2), pages 1-57, April.
  • Handle: RePEc:ibn:masjnl:v:5:y:2011:i:2:p:57
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/6729/7220
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/mas/article/view/6729
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xin Gao & Hong Xu & Dong Ye, 2009. "Asymptotic Behavior of Tail Density for Sum of Correlated Lognormal Variables," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2009, pages 1-28, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiaoou Li & Jingchen Liu & Gongjun Xu, 2016. "On the Tail Probabilities of Aggregated Lognormal Random Fields with Small Noise," Mathematics of Operations Research, INFORMS, vol. 41(1), pages 236-246, February.
    2. Jochen Ranger & Christoph König & Benjamin W. Domingue & Jörg-Tobias Kuhn & Andreas Frey, 2024. "A Multidimensional Partially Compensatory Response Time Model on Basis of the Log-Normal Distribution," Journal of Educational and Behavioral Statistics, , vol. 49(3), pages 431-464, June.
    3. Asli Ozen & Yariv Marmor & Thomas Rohleder & Hari Balasubramanian & Jeanne Huddleston & Paul Huddleston, 2016. "Optimization and Simulation of Orthopedic Spine Surgery Cases at Mayo Clinic," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 157-175, February.
    4. Jo, Wooseok & Lee, Seung Jun, 2024. "Human reliability evaluation method covering operator action timing for dynamic probabilistic safety assessment," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:masjnl:v:5:y:2011:i:2:p:57. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.