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Doc.: IEEE 802.11-16/0072r0 Submission January 2016 Thomas Handte, SonySlide 1 Performance of Non-Uniform Constellations in Presence of Phase Noise Date:

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Presentation on theme: "Doc.: IEEE 802.11-16/0072r0 Submission January 2016 Thomas Handte, SonySlide 1 Performance of Non-Uniform Constellations in Presence of Phase Noise Date:"— Presentation transcript:

1 doc.: IEEE 802.11-16/0072r0 Submission January 2016 Thomas Handte, SonySlide 1 Performance of Non-Uniform Constellations in Presence of Phase Noise Date: 2016/01/17 Authors:

2 doc.: IEEE 802.11-16/0072r0 Submission Abstract This contribution outlines –The performance of non-uniform constellations (NUCs) in single- carrier (SC) modulation under influence of phase noise NUCs of [1] with 64 signal points are considered NUCs are shown to be robust against phase noise –The gain compared to uniform constellations (UCs) is even increased –Comparison of demapping complexity –NUC definition Signal points and bit labelling January 2016 Slide 2Thomas Handte, Sony

3 doc.: IEEE 802.11-16/0072r0 Submission Motivation Higher order QAMs discussed in e.g. [2-4] as a potential technology for 802.11ay –SC: 64-QAM (up to 16-QAM in ad) Non-uniform constellations (NUCs) provide increased performance compared to uniform constellations (UCs) NUCs provide –shaping gain [5, 6] –improved robustness against impairments [7] such as ADC quantization fading channels –a lower peak power than UCs, e.g. [1] –a moderate increase in demapper complexity See later January 2016 Slide 3Thomas Handte, Sony

4 doc.: IEEE 802.11-16/0072r0 Submission Introduction So far, the effect of phase noise on the performance of NUCs has been investigated for OFDM only –Investigations [7] show that NUCs can maintain or even improve their gain in presence of phase noise, quantization, or fading. In this contribution, we investigate the performance of NUCs in SC transmission –NUCs for SC can be optimized in various ways [1] –Here we present performance results of NUCs with Zero shaping gain but minimum PAPR: Cat. B Maximum shaping gain and unconstraint PAPR: Cat. D January 2016 Slide 4Thomas Handte, Sony

5 doc.: IEEE 802.11-16/0072r0 Submission Introduction (cont.) NUC performance in SC communications –The overall gain has two sources A.Shaping gain –NUCs require less SNR than UCs for same FER B.Peak power gain –NUCs have a lower PAPR than UCs –Shaping gain and peak power gain are not independent –Optimization targets January 2016 Slide 5Thomas Handte, Sony UC + 1.3 dB NUC Cat.Shaping gainPAPR gain B≈ 0max DMaxunconstraint +0.35 dB Cat. D Cat. B +0.35 dB

6 doc.: IEEE 802.11-16/0072r0 Submission Simulation Parameters Focus on constellations with 64 signal points –.11ad LDPC with code rates (CR): 1 / 2, 5 / 8, 3 / 4, 13 / 16 SC modulation Message length: 1000 bytes Channel model –AWGN –Phase noise at transmitter and receiver Spectral noise mask according to evaluation methodology [9] Receiver –Regular approx. LLR demapper –Phase noise mitigation Analysis –Performance compared at FER = 10 -2 –Benchmark Regular uniform 64-QAM January 2016 Slide 6Thomas Handte, Sony

7 doc.: IEEE 802.11-16/0072r0 Submission Results FER performance w/o and w/ phase noise –NUCs offer a shaping gain depending on Cat. and CR NUC requires less SNR than UC for same FER Cat. B and UC have approx. same performance shaping gain 0 dB Cat. D has a SNR gain compared to UC shaping gain up to 0.4 dB –Phase noise yields degradation UC and NUC are similarly influenced January 2016 Slide 7Thomas Handte, Sony CR1/2CR5/8

8 doc.: IEEE 802.11-16/0072r0 Submission Results (cont.) NUC shaping gain w/o and w/ phase noise as a function of CR –Shaping gain is even further increased in presence of phase noise i.e. NUCs are more robust than UC –Shaping gain increases up to 0.9 / 1.1 dB for Cat. B / Cat. D with phase noise Additional gain of 0.9 / 0.8 dB January 2016 Slide 8Thomas Handte, Sony Cat. BCat. D

9 doc.: IEEE 802.11-16/0072r0 Submission Results (cont.) Overall NUC gain w/o and w/ phase noise –Summation of shaping gain and peak power gain Shaping gain increases in presence of phase noise Peak power gain is unchanged –Overall gain up to 1.5 / 2.1dB (w/o PN / w/ PN) compared to regular UC January 2016 Slide 9Thomas Handte, Sony Cat. B Cat. D Cat. B Cat. D

10 doc.: IEEE 802.11-16/0072r0 Submission On the Demapper Complexity January 2016 Thomas Handte, SonySlide 10

11 doc.: IEEE 802.11-16/0072r0 Submission Conclusion Investigation of NUC performance in presence of phase noise –Low CRs: NUC gain is at least maintained –High CRs: Additional NUC gain NUCs are a promising technology for.11ay –Significant performance gains up to 1.6dB w/o PN up to 2.1dB w/ PN –Robust against phase noise, quantization [7] in fading channels [7] –Only a moderate complexity increase January 2016 Slide 11Thomas Handte, Sony

12 doc.: IEEE 802.11-16/0072r0 Submission References 1.11-15-0835-01-00ay Potential of Non-Uniform Constellations with Peak Power Constraint11-15-0835-01-00ay Potential of Non-Uniform Constellations with Peak Power Constraint 2.11-14-1378-00-ng60 PHY rate for NG6011-14-1378-00-ng60 PHY rate for NG60 3.11-14-0652-01-0wng-wng Next Generation 802.11ad11-14-0652-01-0wng-wng Next Generation 802.11ad 4.11-15-0339-00-ng60 SC-64APSK for 11ay11-15-0339-00-ng60 SC-64APSK for 11ay 5.11-15-0096-01-ng60 Non-uniform Constellations for higher Order QAMs11-15-0096-01-ng60 Non-uniform Constellations for higher Order QAMs 6.11-15-0601-00-00ay Non-uniform Constellations for 64QAM11-15-0601-00-00ay Non-uniform Constellations for 64QAM 7.11-15-1290-00-00ay Effect of Impairments on the Performance of Non-Uniform Constellations11-15-1290-00-00ay Effect of Impairments on the Performance of Non-Uniform Constellations 8.11-15-1289-00-00ax Non-Uniform Constellations for 1024-QAM11-15-1289-00-00ax Non-Uniform Constellations for 1024-QAM 9.11-15-0866-01-00ay 11ay evaluation methodology11-15-0866-01-00ay 11ay evaluation methodology 10.M. Fuentes, D. Vargas, and D. Gómez-Barquero “Low-Complexity Demapping Algorithm for Two-Dimensional Non-Uniform Constellations”, IEEE Trans. on Broadcasting, Nov. 2015M. Fuentes, D. Vargas, and D. Gómez-Barquero “Low-Complexity Demapping Algorithm for Two-Dimensional Non-Uniform Constellations”, IEEE Trans. on Broadcasting, Nov. 2015 January 2016 Slide 12Thomas Handte, Sony

13 doc.: IEEE 802.11-16/0072r0 Submission APPENDIX January 2016 Thomas Handte, SonySlide 13

14 doc.: IEEE 802.11-16/0072r0 Submission NUC definition for 64-QAM Each CR requires a dedicated NUC for maximum gain All NUCs feature quadrant symmetry –64-QAM 2D-NUCs can be deduced from 16 signal points Those signal points –reside in the 1 st quadrant (Re>0, Im>0) –define 4 bit of the mapping –Binary reflected Gray mapping yields all other signal points All quadrants define further 2 bit of the mapping –Example: 16-QAM 2D-NUC deduced from 4 signal points January 2016 Slide 14Thomas Handte, Sony Reflect on axis 00 10 0111

15 doc.: IEEE 802.11-16/0072r0 Submission January 2016 Slide 15Thomas Handte, Sony NUC definition for Cat. B

16 doc.: IEEE 802.11-16/0072r0 Submission NUC definition for Cat. D January 2016 Slide 16Thomas Handte, Sony

17 doc.: IEEE 802.11-16/0072r0 Submission January 2016 Slide 17Thomas Handte, Sony CR=1/2CR=5/8 CR=13/16 CR=3/4 Visualization: NUCs Cat. B

18 doc.: IEEE 802.11-16/0072r0 Submission January 2016 Slide 18Thomas Handte, Sony CR=1/2CR=5/8 CR=13/16 CR=3/4 Visualization: NUCs Cat. D

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