Packet-level error models for digital wireless channels

Packet-level error models have great significance for the design and performance evaluation of higher layer wireless communication protocols. These models aim to characterize the statistical behavior of bursty packet error sequences encountered in digital wireless channels. In this paper, target packet error sequences are generated by computer simulations of a coded General Packet Radio Service (GPRS) system with a typical urban (TU) channel and co-channel interference. A general design procedure of a generative model is then proposed by using a properly parameterized and sampled deterministic process with a threshold detector and two parallel mappers. Simulation results indicate that the proposed deterministic process based generative model (DPBGM) allows us to approximate very well the characteristics of the target packet error sequences with respect to the gap distribution (GD), error-free run distribution (EFRD), error cluster distribution (ECD), error burst distribution (EBD), error-free burst distribution (EFBD), block error probability distribution (BEPD), and packet error correlation function (PECF). Importantly, it is shown that both the accuracy and the efficiency of the suggested DPBGM outperform those of a widely used Markov model.

[1]  Andreas Willig,et al.  A new class of packet- and bit-level models for wireless channels , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[2]  Bruce D. Fritchman,et al.  A binary channel characterization using partitioned Markov chains , 1967, IEEE Trans. Inf. Theory.

[3]  Michele Zorzi,et al.  Perspectives an the impact of error statistics on protocols for wireless networks , 1999, IEEE Wirel. Commun..

[4]  Javier Garcia-Frías,et al.  Stochastic context-free grammars and hidden Markov models for modeling of bursty channels , 2004, IEEE Transactions on Vehicular Technology.

[5]  Matthias Pätzold,et al.  Deterministic modeling and simulation of error sequences in digital mobile fading channels , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[6]  William Turin,et al.  Performance Analysis and Modeling of Digital Transmission Systems (Information Technology: Transmission, Processing and Storage) , 2004 .

[7]  Matthias Pätzold,et al.  A new deterministic process based generative model for characterizing bursty error sequences , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[8]  P. Krishnamurthy,et al.  Markov modeling of 802.11 channels , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[9]  A.R.K. Sastry,et al.  Models for channels with memory and their applications to error control , 1978, Proceedings of the IEEE.

[10]  G. Liebl,et al.  Flexible outer Reed-Solomon coding on RLC layer for MBMS over GERAN , 2004, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

[11]  Ben Y. Zhao,et al.  A Markov-Based Channel Model Algorithm for Wireless Networks , 2001, MSWIM '01.

[12]  Matthias Pätzold,et al.  A deterministic frequency hopping Rayleigh fading channel simulator designed by using optimization techniques , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[13]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[14]  Nikolai Nefedov.  Discrete channel models for wireless data services , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[15]  Paolo Gamba,et al.  Multipath channel modeling with chaotic attractors , 2002 .

[16]  Pedro M. Crespo,et al.  Channel error profiles for DECT. , 1994 .

[17]  Wen Xu,et al.  Error models for evaluating error control strategies in EGPRS systems , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[18]  Matthias Pätzold,et al.  A generative deterministic model for digital mobile fading channels , 2004, IEEE Communications Letters.

[19]  Andreas Willig,et al.  Chaotic maps as parsimonious bit error models of wireless channels , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[20]  Matthias Patzold,et al.  Mobile Fading Channels , 2003 .