Finite-state models for simulating the packet error behavior of a mobile broadcasting system operating in a multipath channel environment

Handbook of Mobile Broadcasting: DVB-H, DMB, ISDB-T, and MEDIAFLO

Volumn , Issue , 2008, Pages 507-533

  Poikonen, Jussi ^a   Paavola, Jarkko ^a   Ipatov, Valery ^a  

^a UNIVERSITY OF TURKU   (Finland)

Author keywords

Broadcasting; Communication channels; Markov processes; Mobile communication; Simulation

Indexed keywords

EID: 50649088503     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/9781420053890     Document Type: Chapter

References (23)

1. G. Faria, J. A. Henriksson, E. Stare, P. Talmola. 2006. DVB-H: Digital broadcast services to handheld devices. Proc. IEEE 94: 194-209.
2. O. Cappé, T. Moulines, T. Rydén. 2005. Inference in hidden markov models. New York: Springer Science+Business Media.
3. Y. Ephraim, N. Merhav. 2002. Hidden Markov processes. IEEE Trans. Inform. Theory, 48.
4. L. N. Kanal, A. R. K. Sastry. 1978. Models for channels with memory and their applications to error control. Proc. IEEE 66: 724-44.
5. E. N. Gilbert. 1960. Capacity of a burst-noise channel. Bell Systems Tech. J. 39: 1253-66.
6. E. O. Elliott. 1963. Estimates of error rates for codes on burst-error channels. Bell Systems Tech. J. 42: 1977-97.
7. B. D. Fritchman. 1967. A binary channel characterization using partitioned Markov chains. IEEE Trans. Inform. Theory IT-13: 221-27.
8. J. G. Kemeny. 1966. Slowly spreading chains of the first kind. J. Math Anal. Applications 15: 295-310.
9. V. Tralli, M. Zorzi. 2005 Markov models for the physical layer block error process in a WCDMA cellular system. IEEE Trans. Veh. Technol 54: 2102-13.
10. F. Babich, G. Lombardi. 2000. A Markov model for the mobile propagation channel. IEEE Trans. Veh. Technol. 49: 63-73.
11. H. S. Wang, N. Moayeri. 1995. Finite-state Markov channel-A useful model for radio communication channels. IEEE Trans. Veh. Technol. 44: 163-171.
12. A. Konrad, B. Y. Zhao, A. D. Joseph, R. Ludwig. 2003. A Markov-based channel model algorithm for wireless networks. Wireless Networks, New York: Kluwer Academic. 189-99.
13. W. Zhu, J. Garcia-Frias. 2004. Stochastic context-free grammars and hidden markov models for modeling of bursty channels. IEEE Trans. Veh. Technol. 53: 666-76.
14. H.-P. Lin, M.-J. Tseng. 2005. Two-layer multistate markov model for modeling a 1.8 GHz narrowband wireless propagation channel in urban Taipei city. IEEE Trans. Veh. Technol. 54: 435-46.
15. W. Chang, T. Tan, D. Wang. 2001. Robust vector quantization for wireless channels. IEEE J. Sel. Areas Common. 19: 1365-73.
16. S. Sivaprakasam, K. S. Shanmugan. 1995. An equivalent markov model for burst errors in digital channels. IEEE Trans. Comm. 43: 1347-55.
17. L. R. Rabiner. 1989. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE, 77: 257-85.
18. W. Turin, M. M. Sondhi. 1993. Modeling error sources in digital channels. IEEE J. on Sel. Areas in Common., 11: 340-47.
19. J. Paavola, H. Himmanen, T. Jokela, J. Poikonen, V. Ipatov. 2007. The performance analysis of MPE-FEC decoding methods at the DVB-H link layer for efficient IP packet retrieval. IEEE Trans. Broadcasting, special issue on mobile multimedia broadcasting 53: 263-75.
20. T. Känkänen. 2007. IP packet channel modeling applied in DVB-H datacast system. Master’s thesis, University of Turku.
21. S. Ghahramani. 2004. Fundamentals of probability, with stochastic processes, 3rd ed., Englewood Cliff, NJ: Prentice Hall.
22. Digital land mobile radio communications. COST 207 Official Pub. Eur. Communities, final rep. 1989 Luxembourg.
23. Digital cellular telecommunications system (phase 2+); Radio transmission and reception. 3GPP TS 05.05, v.8.20.0. 2005.