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Fully Optimized Code Block Segmentation Algorithm for LTE-Advanced

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Abstract

In our previous work, we presented a brief analysis of the performance of the code block segmentation procedure adopted by the 3GPP LTE Advanced (LTE-A) Standard as part of its physical layer channel coding scheme. Here, a detailed analysis of its performance is offered along with a new approach to the LTE-A code block segmentation procedure. Code block segmentation is a generic procedure applied before turbo encoding whose function is to fragment a large transport block (TB) into smaller code blocks, reducing the decoding latency of turbo decoders (Sun et al. in Integr VLSI J 44(4):305–315, 2011). Analysis showed that only 39 % of all TBs need segmentation. Results based on two different architectures, one focused on a digital signal processors and the other on an field programmable gate array are compared and discussed. A new approach for code block segmentation is presented. This new approach exhibits a speed up of more than 83 times over previous and new approaches presented here.

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References

  1. Sun, Yang, Cavallaro, Joseph R.: Efficient hardware implementation of a highly-parallel 3GPP LTE/LTE-advance turbo decoder. Integr. VLSI J. 44(4), 305–315 (2011)

    Article  Google Scholar 

  2. 3rd Generation Partnership Project: Technical Specifications Series 36 for E-UTRA (Release 10). http://www.3gpp.org

  3. Lenzi, K.G., Bianco Filho, J.A., de Figueiredo, F.A.P.: Code block segmentation hardware architecture for LTE-advanced. IEEE Wireless Communications and Networking Conference (WCNC): PHY, April (2013)

  4. Texas Instruments: Enabling LTE development with TI’s new multicore SoC architecture. Feb (2010)

  5. 3rd Generation Partnership Project: 3GPP TS 36.212 version 10.6.0 Release 10: Multiplexing and Channel Coding. July (2012)

  6. Khailany, B. et al.: Exploring VLSI scalability of stream processors. International Conference on High Performance Computer Architecture (HPCA). Feb(2003)

  7. Aricent.: LTE eNodeB PHY Framework. http://www.aricent.com/software/lte-enodeb-phy-framework.html. Accessed 14 Sep 2012

  8. Picochip.: Developing LTE Small Cell with Picochip (MWC2011). http://www.picochip.com (2011)

  9. Ubiquisys. http://www.ubiquisys.com. Accessed 14 Sep 2012

  10. Lenzi, K.G., Bianco Filho, J.A., de Figueiredo, F.A.P., Figueiredo, F.L.: On the performance of code block segmentation for LTE-advanced. IEEE Application (ASAP). Jun (2013)

  11. Xilinx: Virtex-6 Family Overview Datasheet. Jan (2012)

  12. Analog Devices: Blackfin Embedded Processor: ADSP-BF531/ADSP-BF532/ADSP-BF533 Datasheet. Januray (2011)

  13. Motorola: Code Block Segmentation for LTE Channel Coding. R1-071059, 3GPP TSG RAN WG1 #48, Feb. 2007; XP-050105053

  14. R1-074848, Ericsson: CRC Computation Method. 3GPP RAN1#51bis, Jeju, Korea, Nov 05–09, 2007

  15. R1-074473, Ericsson: ETRI, ITRI, LGE, Motorola, Nokia, Nokia Siemens Networks, Nortel, Qualcomm, Samsung, ZTE. TB CRC Generator Polynomial. 3GPP TSG RAN WG1#50b, Shanghai, China, Oct 8–12, 2007

  16. Widrow, B., Kollár, I.: Quantization noise: Roundoff error in digital computation. In: Signal Processing, Control, and Communications. Cambridge University Press, Cambridge (2008)

  17. FemtoForum API: LTE eNB L1 API Definition v1.1. FemtoForum Technical Document. Dec (2010)

  18. 3rd Generation Partnership Project: 3GPP TS 36.213 version 10.7.0 Release 10: Physical layer procedures. Oct (2012)

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Acknowledgments

The authors thanks the support given to this work, developed as part of the RASFA project, financed by the Fundo de Desenvolvimento das Telecomunicações - FUNTTEL, from the Brazilian Department of Communication, through the partnership no. 01.09.0631.00 with FINEP – Finaciadora de Estudos e Projetos.

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Authors and Affiliations

  1. Centre for Research and Development in Telecommunications (CPqD), Campinas, SP, Brazil

    Karlo G. Lenzi, Felipe A. P. Figueiredo, José A. Bianco Filho & Fabrício L. Figueiredo

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  1. Karlo G. Lenzi
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  2. Felipe A. P. Figueiredo
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  3. José A. Bianco Filho
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  4. Fabrício L. Figueiredo
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Correspondence to José A. Bianco Filho.

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Lenzi, K.G., Figueiredo, F.A.P., Bianco Filho, J.A. et al. Fully Optimized Code Block Segmentation Algorithm for LTE-Advanced. Int J Parallel Prog 43, 988–1003 (2015). https://doi.org/10.1007/s10766-014-0324-7

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  • DOI: https://doi.org/10.1007/s10766-014-0324-7

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