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Labeling Diversity

Labeling Diversity. Authors:. Date: 2013- 11-12. Outline. Diversity BI-STCM-ID Labeling diversity Analytical & simulation results Discussion. Diversity. To protect signal against fading effects

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Labeling Diversity

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  1. LabelingDiversity Authors: Date: 2013-11-12 Maciej Krasicki (Poznan University of Technology)

  2. Outline • Diversity • BI-STCM-ID • Labelingdiversity • Analytical & simulationresults • Discussion Maciej Krasicki (Poznan University of Technology)

  3. Diversity • To protectsignalagainst fading effects • Information transmittedthrough a number of diversitybranches to get independent replicas • Diversitybranches: • time • frequency • polarization • space multi-antennatransmission and/orreception (SC, EGC, MRC, etc.) , multi-pathtransmission • space-time Maciej Krasicki (Poznan University of Technology)

  4. Bit-InterleavedSpace-Time CodedModulation • Transmitter Maciej Krasicki (Poznan University of Technology)

  5. Bit-InterleavedSpace-Time CodedModulation(+ iterativedecoding) • Receiver Extrinsic inf. of decoder Information from channel Extrinsic inf. of demapper Decisions Maciej Krasicki (Poznan University of Technology)

  6. Iteratively-decoded systemserrorbounds • Error-free-feedback (EF) bound • Asymptotic BER performance and codinggain 10 0 10-4 10-8 10-12 10-16 10-20 Gray labeling optimallabeling BER • R data rate • a  df • c = const. Eb/N0 (dB) Maciej Krasicki (Poznan University of Technology)

  7. Asymptoticcodinggain in BI-STCM-ID (0100) (1101) (1100) (1110) (1000) Maciej Krasicki (Poznan University of Technology)

  8. Labelingdiversity Antenna #1 Antenna #2 (1)(0000) (1)(0010) (1)(0010) (1)(0000) (2)(0000) (2)(0010) Maciej Krasicki (Poznan University of Technology)

  9. (1) x 2 t (1) x mapper 2 t +1 w ( ) 1 v 2t X v u d t Conv. 2t+1 p Encoder (2) (2) x x 2 t +1 2 t (2) (2) x x mapper 2 t +1 2 t P w ( ) 2 Transmitterexploiting labelling diversity Mapper (1) Mapper (2) (1)(2)? Maciej Krasicki (Poznan University of Technology)

  10. Transmitterexploitinglabelingdiversity (1)(2)? Maciej Krasicki (Poznan University of Technology)

  11. Improved16-QAMlabelingpair Maciej Krasicki (Poznan University of Technology)

  12. Asymptoticcodinggain Maciej Krasicki (Poznan University of Technology)

  13. Joint optimization of labeling map pairs* Compare with the one for BI-STCM-ID: * M. Krasicki, „Essence of labelling diversity”, Electronics Letters, vol. 49, Issue: 8, April 2013, pp. 567-569, http://dx.doi.org/10.1049/el.2012.4275 Maciej Krasicki (Poznan University of Technology)

  14. Maciej Krasicki (Poznan University of Technology)

  15. Point-wisedistance spectrum- categorization of const. points Maciej Krasicki (Poznan University of Technology)

  16. Maciej Krasicki (Poznan University of Technology)

  17. Maciej Krasicki (PoznanUniversity of Technology)

  18. EXIT chart analysis Maciej Krasicki (PoznanUniversity of Technology)

  19. EXIT chart analysis Eb/N0 = 1dB Maciej Krasicki (PoznanUniversity of Technology)

  20. BER simulation results • 2000 data bits per frame•Transmissionthroughuncorrelated Rayleigh fading channel Maciej Krasicki (PoznanUniversity of Technology)

  21. Towardshigherspectralefficiency LD Maciej Krasicki (PoznanUniversity of Technology)

  22. DiscussionCouldWLANs benefit from LD? • Modification of labelingmapsrequired • Need for efficientreceiversworking on the real-timebasis • Should be considered for differentmodulationorders • Randombit interleaver with high interleavingdepth • Short-constrained-lengthcodes for earlyconvergence Maciej Krasicki (Poznan University of Technology)

  23. Straw Poll • Do youthink the nextgenerationWLANsshould be designed for iterativedecoding? • Do youthinklabelingdiversitymeritsfurtherconsideration for WLANs? Maciej Krasicki (Poznan University of Technology)

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