TY - GEN
T1 - Universal hybrid probabilistic-geometric shaping based on two-dimensional distribution matchers
AU - Qu, Zhen
AU - Zhang, Shaoliang
AU - Djordjevic, Ivan B.
N1 - Publisher Copyright:
© OSA 2018.
PY - 2018
Y1 - 2018
N2 - We propose universal distribution matchers applicable to any two-dimensional signal constellation. We experimentally demonstrate that the performance of 32-ary QAM, based on hybrid probabilistic-geometric shaping, is superior to probabilistically shaped 32QAM and regular 32QAM.
AB - We propose universal distribution matchers applicable to any two-dimensional signal constellation. We experimentally demonstrate that the performance of 32-ary QAM, based on hybrid probabilistic-geometric shaping, is superior to probabilistically shaped 32QAM and regular 32QAM.
UR - http://www.scopus.com/inward/record.url?scp=85047161430&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047161430&partnerID=8YFLogxK
U2 - 10.1364/OFC.2018.M4E.4
DO - 10.1364/OFC.2018.M4E.4
M3 - Conference contribution
AN - SCOPUS:85047161430
SN - 9781943580385
T3 - Optics InfoBase Conference Papers
BT - Optical Fiber Communication Conference, OFC 2018
PB - Optica Publishing Group (formerly OSA)
T2 - Optical Fiber Communication Conference, OFC 2018
Y2 - 11 March 2017 through 15 March 2017
ER -