Duration-Based Call Management Scheme
International Journal of Theoretical and Applied Mathematics
Volume 2, Issue 2, December 2016, Pages: 144-149
Received: Oct. 25, 2016; Accepted: Dec. 27, 2016; Published: Jan. 20, 2017
Views 2167      Downloads 40
Ezenugu Isaac A., Department of Electrical/Electronic Engineering, Imo State University, Owerri, Nigeria
Eke James, Department of Electrical/Electronic Engineering, Enugu State University Of Science and Technology Enugu, Nigeria
Onoh G. N., Department of Electrical/Electronic Engineering, Enugu State University Of Science and Technology Enugu, Nigeria
Article Tools
Follow on us
Considering some of the major challenges suffered by majority of the wireless communication network users and also the challenges being faced by the network providers in order to provide satisfactory quality of services that will meet the demand of their subscribers, there is a need for an implementation of a better call management scheme. This proposed scheme classified calls into two groups; short-calls and long-calls. Statistically, it has been found that over 65% of GSM users make calls that are less than or equal to 180s. Hence, this proposed scheme will give priority to short calls, and also adopt a relative probability factor (β) which will be used to allocate some percentage of the channels that were initially allocated to long calls whenever the long calls are minimal within the last interval being considered. This scheme tends to provide better utilisation of communication channels at all-time especially at peak periods. This paper considers the number of available channels, signal strength, short-call duration, long-call duration, call arrival rate and call service rate within the Base Transceiver Station (BTS).
Quality of Service (QoS), Call Admission Control, Base Station Controller (BSC), Base Transceiver Station (BTS), Communication Channels, Call Duration, Mobile Station (MS)
To cite this article
Ezenugu Isaac A., Eke James, Onoh G. N., Duration-Based Call Management Scheme, International Journal of Theoretical and Applied Mathematics. Vol. 2, No. 2, 2016, pp. 144-149. doi: 10.11648/j.ijtam.20160202.28
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Yuzhe, Z., & Bo, A. (2014). Quality of service improvement for high-speed railway communications. China Communications, 11 (11), 156-167.
Bousia, A. (2016). Design of energy efficient network planning schemes for LTE-based cellular networks.
Fotouhi, H. (2015). Reliable Mobility Support in Low-Power Wireless Networks.
Cheelu, D., Babu, M. R., & Krishna, P. V. (2013). A study of vertical handoff decision strategies in heterogeneous wireless networks. International Journal of Engineering and Technology, 5 (3), 2541-2554.
Poletti, C., & Cartigny, M. (2015). U. S. Patent No. 9,025,447. Washington, DC: U. S. Patent and Trademark Office.
Valacich, J. S., Looney, C. A., Wright, R. T., & Wilson, D. W. (2013). MObIlE COMPuTING AND COllAbORATION. Collaboration Systems: Concept, Value, and Use, 143.
Shiraz, M., Gani, A., Khokhar, R. H., & Buyya, R. (2013). A review on distributed application processing frameworks in smart mobile devices for mobile cloud computing. IEEE Communications Surveys & Tutorials, 15 (3), 1294-1313.
Sharma, M., Lee, J., Prakash, R., Ahmavaara, K. I., & Radulescu, A. D. (2015). U. S. Patent Application No. 14/811,211.
Akhila, S., & Lakshminarayana, M. (2008). Averaging mechanisms to decision making for handover in GSM. 32rd World Academy of Sci., Eng. and Technology.
Khodkari, H., Maghrebi, S., & Branch, R. (2016). Necessity of the integration Internet of Things and cloud services with quality of service assurance approach. Bulletin de la Société Royale des Sciences de Liège, 85 (1), 434-445.
Van Quang, B., Prasad, R. V., & Niemegeers, I. (2012). A survey on handoffs—lessons for 60 GHz based wireless systems. IEEE Communications Surveys & Tutorials, 14 (1), 64-86.
Shristop L., Marco L., & Axel T., (2004). “Adaptive Call Admission Control for QoS/ Revenue Optimization in CDMA Cellular Networks”, Kluwer Academic Publishers, Wireless Networks 10,457-472.
Chang, C. J. & Lo, K. R. (1999). “Analysis of a hierarchical cellular system with reneging and dropping for waiting new calls and handoff calls.” IEEE Trans. Veh. Technol., vol. 48, no. 4, pp. 1080–1091.
S. A. El-Dolil, A. Y. Al-Nahari, M. I. Desouky, F. E. El-Samie, Uplink Power Based Admission Control in Multi-Cell Wcdma Networks With Heterogeneous Traffic: Progress in Electromagnetics Paper B, 1, ( 2008), 115–134.
Valko A. G. & Campbell, A. T. (2000). “An efficiency limit of cellular mobile systems.” Computer Communications Journal, vol. 23, no. 5-6, pp. 441–451.
Liu, D., Zhang, Y. & Hu, S. (2004). Call Admission Policies On Calculated Power Control Setpoints in SIR- Based Power-Controlled DS-CDMA Cellular Networks: Wireless Networks, 10, 473-483.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186