Abstract
We propose simple and computationally efficient wireless channel modeling algorithm. For this purpose we adopt the special case of the algorithm initially proposed in [1] and show that its complexity significantly decreases when the time-series is covariance stationary binary in nature. We show that for such time-series the solution of the inverse eigenvalue problem returns unique transition probability matrix of the modulating Markov chain that is capable to match statistical properties of empirical frame error processes. Our model explicitly takes into account autocorrelational and distributional properties of empirical data. We validate our model against empirical frame error traces of IEEE 802.11b wireless access technology operating in DCF mode over spread spectrum at 2Mbps and 5.5 Mbps bit rates. We also made available the C code of the model as well as pre-compiled binaries for Linux and Windows operating systems at http://www.cs.tut.fi/~moltchan.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Lombardo, A., Morabito, G., Schembra, G.: An accurate and treatable Markov model of MPEG video traffic. In: Proc. of IEEE INFOCOM, pp. 217–224 (1998)
Rappaport, T.: Wireless communications: principles and practice. In: Communications engineering and emerging technologies, 2nd edn. Prentice Hall, Englewood Cliffs (2002)
Sklar, B.: Rayleigh fading channels in mobile digital communication systems part I: characterization. IEEE Comm. Mag., 90–100 (July 1997)
Bai, H., Atiquzzaman, M.: Error modeling schemes for fading channels in wireless communications: a survey. Wireless Networks 5(2), 2–9 (4th Quarter 2003)
Zorzi, M., Rao, R., Milstein, L.: ARQ error control for fading mobile radio channels. IEEE Trans. on Veh. Tech. 46(2), 445–455 (1997)
Zorzi, M., Rao, R.: The effect of correlated errors on the performance of TCP. IEEE Comm. Let. 1(5), 127–129 (1997)
Zorzi, M., Chockalingam, A., Rao, R.: Throughput analysis of TCP on channels with memory. IEEE JSAC 18(7), 1289–1300 (1999)
Khayam, S., Radha, H.: Markov-based modeling of wireless local area networks. In: ACM MSWiM, San-Diego, US, September 2003, pp. 100–107 (2003)
Nguyen, G., Katz, R., Noble, B.: A trace-based approach for modeling wireless channel behavior. In: Proc. Winter Simulation Conf., pp. 597–604 (1996)
Karande, S., Khayam, S., Krappel, M., Radha, H.: Analysis and modeling of errors at the 802.11b link layer. In: Proc. IEEE ICME (July 2003)
Khayam, S.A.: IEEE 802.11b traces. Technical report, Michigan State University, Accessed 11.11.2004, http://www.egr.msu.edu/waves/people/Ali_files/bit_trace_802_11b.zip
Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. Standard, IEEE Std. 802.11-1997 (1997)
Wireless LAN medium access control (MAC) and physical layer (PHY) specifications: higher-speed physical layer extension in the 2.4GHz band. Standard, IEEE Std. 802.11b-1999 (1999)
Moltchanov, D., Koucheryavy, Y., Harju, J.: The model of single smoothed MPEG traffic source based on the D-BMAP arrival process with limited state space. In: Proc. of ICACT, Phoenix Park, R. Korea, January 2003, pp. 55–60 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Moltchanov, D., Koucheryavy, Y., Harju, J. (2005). Simple, Accurate and Computationally Efficient Wireless Channel Modeling Algorithm. In: Braun, T., Carle, G., Koucheryavy, Y., Tsaoussidis, V. (eds) Wired/Wireless Internet Communications. WWIC 2005. Lecture Notes in Computer Science, vol 3510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424505_23
Download citation
DOI: https://doi.org/10.1007/11424505_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25899-5
Online ISBN: 978-3-540-32104-0
eBook Packages: Computer ScienceComputer Science (R0)