Service Adaptable 3G Turbo Decoder for Indoor/Low Range Outdoor Environment
DOI: 10.4236/ijcns.2009.28081   PDF    HTML     4,680 Downloads   8,051 Views   Citations


For the well-known 3G mobile communications standard UMTS, four different service classes have been specified. Considering two turbo decoding algorithms, like SOVA and log-MAP, it would be desirable to use an efficient turbo decoder. In this paper this decoder is shown to adapt dynamically to different service scenarios, considering parameters like performance and complexity for indoor/low range outdoor operating en-vironment. The scenarios show that for streaming service class real-time class applications the proposed de-coding algorithm depends on data rate; for the majority of scenarios SOVA is proposed, whereas log-MAP is optimal for increased data rates and medium-sized frames. On the other hand, conversational service class real-time applications cannot be established. For the majority of non real-time applications (interactive and background service classes) either algorithm can be used, while log-MAP is proposed for medium data rates and frame lengths.

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C. CHAIKALIS and N. S. SAMARAS, "Service Adaptable 3G Turbo Decoder for Indoor/Low Range Outdoor Environment," International Journal of Communications, Network and System Sciences, Vol. 2 No. 8, 2009, pp. 704-713. doi: 10.4236/ijcns.2009.28081.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] C. Berrou and A. Glavieux, “Near optimum error correcting coding and decoding: Turbo codes,” IEEE Trans. on Communications, Vol. 44, No. 10, pp. 1261–1271, 1996.
[2] H. Holma and A. Toskala, “WCDMA for UMTS: Radio access for third generation mobile communications,” J. Wiley, 2000.
[3] J. Woodard and L. Hanzo, “Comparative study of turbo decoding techniques: An overview,” IEEE Transactions on Vehicular Technology, Vol. 49, No. 6, pp. 2208–2233, 2000.
[4] E. Hall and S. Wilson, “Design and analysis of turbo codes on Rayleigh fading channels,” IEEE Journal on Selected Areas in Communications, Vol. 16, No. 2, pp. 160–174, 1998.
[5] P. Robertson, E. Villebrun, and P. Hoeher, “A comparison of optimal and suboptimal MAP decoding algorithms operating in the log domain,” IEEE ICC’95, Seattle, USA, pp. 1009–1013, 1995.
[6] J. Hagenauer and P. Hoher, “A Viterbi algorithm with soft outputs and its applications,” IEEE GLOBECOM’89, Dallas, USA, pp. 1680–1686, 1989.
[7] S. Pietrobon, “Implementation and performance of a turbo/MAP decoder,” International Journal of Satellite Communications, Vol. 16, No. 1, pp. 23–46, 1998.
[8] C. Chaikalis, “Reconfigurable structures for turbo codes in 3G mobile radio transceivers,” PhD thesis, School of Engineering Design and Technology, University of Bradford, UK, 2003.
[9] C. Chaikalis, “Implementation of a reconfigurable turbo decoder in 3GPP for flat Rayleigh fading,” Elsevier Digital Signal Processing Journal, 2008.
[10] C. Chaikalis and J. M. Noras, “Reconfigurable turbo decoding for 3G applications,” Elsevier Signal Processing Journal, Vol. 84, No. 10, pp. 1957–1972, 2004.
[11] 3GPP TS 25.201 V3.3.0. “Physical layer-General description,” Release 1999, 2002.
[12] W. C. Jakes, “Microwave mobile communications,” J. Wiley & Sons, New York, 1974.
[13] M. Patzold, U. Killat, F. Laue, and Y. Li, “On the statis-tical properties of deterministic simulation models for mobile fading channels,” IEEE Transactions on Vehicular Technology, Vol. 47, No. 1, pp. 254–269, 1998.
[14] 3GPP TS 25.212 V3.9.0. “Multiplexing and channel coding (FDD),” Release 1999, 2002.
[15] 3GPP TR 25.944 V3.5.0. “Channel coding and multi-plexing examples,” Release 1999, 2001.

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