Assessment of Channel Unavailability Effect on the Wireless Networks Teletraffic Modeling and Analysis

Whereas cellular wireless communication systems are subject to short-and long-term fading. The effect of wireless channel has largely been ignored in most of the teletraffic assessment researches. In this paper, a mathematical teletraffic model is proposed to estimate blocking and forced termination probabilities of cellular wireless networks as a result of teletraffic behavior as well as the outage of the propagation channel. To evaluate the proposed teletraffic model, gamma inter-arrival and general service time distributions have been considered based on wireless channel fading effect. The performance is evaluated and compared with the classical model. The proposed model is dedicated and investigated in different operational conditions. These conditions will consider not only the arrival rate process, but also, the different faded channels models.




References:
[1] Simon MK, Alouni M-S. Digital communication over fading channels: a
unified approach to performance analysis. New York, NY: Wiley; 2000.
[2] B. Liu and A. Sule Alfa, "A queueing model with time-varying QoS and
call dropping for evaluating the performance of CDMA cellular
systems," Wirel.
[3] D. Macmillan. Traffic modeling and analysis for cellular mobile
networks. In Proceedings of 13th ITC-91, pages 627-632, 1991.
[4] S. Anand A. Sridharan and K.N.Sivarajan. "Performance analysis
of channelized cellular systems with dynamic channel allocation".
IEEE Trans. Veh. Technology, 52(4):847-859, 2003.
[5] D. Hong and S. Rappaport. Traffic model and performance analysis
for cellular mobile radio telephone systems with prioritized and
non-prioritized handoff procedures. IEEE Trans. Veh.
Technology, VT(35):77-92, 1986.
[6] N. Nasser., "Enhanced blocking probability in adaptive
multimedia wireless networks,". In Proceedings of the 25th
IEEE International Performance, Computing, and
Communications Conference (IPCCC-06), pages 647-652, New
Orleans, La, USA, April, 2006.
[7] G. Boggia P. Camarda and N. Di Fonzo.," Teletraffic analysis of
hierarchical cellular communication networks". IEEE Trans. Veh.
Technology, 52(4):931-946, 2003.
[8] F. Barcelo and S. Bueno. Idle and inter-arrival time statistics in
public access mobile radio (pamr) systems. In Proceedings of IEEE
Globecom-97, Phoenix, AZ, November, 1997.
[9] G. Boggia Pietro Camarda and A. D-Alconzo., "Modelling of call
dropping in well-established cellular networks". In EURASIP Journal on
Wireless Communications and Networking., vol. 2007, 11 pages, 2007.
doi:10.1155/2007/17826.
[10] Y. Iraqi and R. Boutaba, "Handoff and call dropping probabilities in
wireless cellular networks". In Proceedings of International Conference
on Wireless Networks, Communications and Mobile Computing
(WIRELESSCOM-05), pages 209-213, Maui, Hawaii, USA, June 2005.
[11] Eman S.El- Din, Hesham M.El- Badawy, El-, Salwa H. El- ramly
"Merging link level availability based on faded and noisy channel
characteratization," in Journal of Engineering Sciences , Faculty
of Engineering , Assuit University , Egypt , Jan 2012.
[12] Gradsheteyn IS, Ryzhik IM. Table of integrals, series, and products.
5th ed., San Diego, CA: Academic; 1994.
[13] Partha Bhattacharjee and Gautam Sanyal." Congestion control by
restricted flow admission in a multi class network". In Proceedings of
IASTED International Conference (629) on Communication Systems
and Networks (CSN-2008), Sept. 1-3, Palma de Mallorca, Spain, 2008.
[14] Raj Kumar Samanta Partha Bhattacharjee and Gautam Sanyal.
"Modeling Cellular Wireless Networks Under Gamma Inter-Arrival
and General Service Time Distributions,". International Journal
Electrical and Computer Engineering (IJECE), pages 86-93, 2010.
[15] Y. Zhang and B. Soong, "The effect of unreliable wireless channel on
the call performance in mobile network," IEEE Trans. Wireless
Commun., vol. 4, no. 2, pp. 653-661, Mar. 2005.