Research on Adaptive Optimal Shaping Gain Selection MethodBased on Huffman Coding

Ziqi Ren; Jinlong Zhang; Qi Zhang; Xiangjun Xin; Feng Tian; Qing Hua Tian; Ming Lin; Yang Wang; Yongjun Wang; Leijing Yang

doi:10.1109/ICOCN.2019.8933955

Research on Adaptive Optimal Shaping Gain Selection MethodBased on Huffman Coding

Ziqi Ren, Jinlong Zhang, Qi Zhang, Xiangjun Xin, Feng Tian, Qing Hua Tian, Ming Lin, Yang Wang, Yongjun Wang, Leijing Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, an adaptive optimal shaping gain selection method based on huffman coding is proposed. By nonuniform mapping, the input signal satisfies the optimal (secondary) distribution under different SNR, that is, the input signal is infinitely close to Maxwell Boltzmann distribution, so that the channel capacity wirelessly approaches the Shannon limit. The method not only improves the transmission performance of the system, increases the shaping gain, but also saves the algorithm complexity and system cost, and realizes the optimal distribution of the optimal (secondary)input signals under different SNR, thereby infinitely approaching the high-speed transmission of the channel capacity.

Original language	English
Title of host publication	2019 18th International Conference on Optical Communications and Networks, ICOCN 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728127644
DOIs	https://doi.org/10.1109/ICOCN.2019.8933955
Publication status	Published - Aug 2019
Externally published	Yes
Event	18th International Conference on Optical Communications and Networks, ICOCN 2019 - Huangshan, China Duration: 5 Aug 2019 → 8 Aug 2019

Publication series

Name	2019 18th International Conference on Optical Communications and Networks, ICOCN 2019

Conference

Conference	18th International Conference on Optical Communications and Networks, ICOCN 2019
Country/Territory	China
City	Huangshan
Period	5/08/19 → 8/08/19

Keywords

Shannon limit
adaptive
probabilistic shaping
shaping gain

Access to Document

10.1109/ICOCN.2019.8933955

Cite this

Ren, Z., Zhang, J., Zhang, Q., Xin, X., Tian, F., Tian, Q. H., Lin, M., Wang, Y., Wang, Y., & Yang, L. (2019). Research on Adaptive Optimal Shaping Gain Selection MethodBased on Huffman Coding. In 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019 Article 8933955 (2019 18th International Conference on Optical Communications and Networks, ICOCN 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOCN.2019.8933955

@inproceedings{d6b1b7b382b1452d8cf56c271f5b29ba,

title = "Research on Adaptive Optimal Shaping Gain Selection MethodBased on Huffman Coding",

abstract = "In this paper, an adaptive optimal shaping gain selection method based on huffman coding is proposed. By nonuniform mapping, the input signal satisfies the optimal (secondary) distribution under different SNR, that is, the input signal is infinitely close to Maxwell Boltzmann distribution, so that the channel capacity wirelessly approaches the Shannon limit. The method not only improves the transmission performance of the system, increases the shaping gain, but also saves the algorithm complexity and system cost, and realizes the optimal distribution of the optimal (secondary)input signals under different SNR, thereby infinitely approaching the high-speed transmission of the channel capacity.",

keywords = "Shannon limit, adaptive, probabilistic shaping, shaping gain",

author = "Ziqi Ren and Jinlong Zhang and Qi Zhang and Xiangjun Xin and Feng Tian and Tian, {Qing Hua} and Ming Lin and Yang Wang and Yongjun Wang and Leijing Yang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 18th International Conference on Optical Communications and Networks, ICOCN 2019 ; Conference date: 05-08-2019 Through 08-08-2019",

year = "2019",

month = aug,

doi = "10.1109/ICOCN.2019.8933955",

language = "English",

series = "2019 18th International Conference on Optical Communications and Networks, ICOCN 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 18th International Conference on Optical Communications and Networks, ICOCN 2019",

address = "United States",

}

Ren, Z, Zhang, J, Zhang, Q, Xin, X, Tian, F, Tian, QH, Lin, M, Wang, Y, Wang, Y & Yang, L 2019, Research on Adaptive Optimal Shaping Gain Selection MethodBased on Huffman Coding. in 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019., 8933955, 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019, Institute of Electrical and Electronics Engineers Inc., 18th International Conference on Optical Communications and Networks, ICOCN 2019, Huangshan, China, 5/08/19. https://doi.org/10.1109/ICOCN.2019.8933955

Research on Adaptive Optimal Shaping Gain Selection MethodBased on Huffman Coding. / Ren, Ziqi; Zhang, Jinlong; Zhang, Qi et al.
2019 18th International Conference on Optical Communications and Networks, ICOCN 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8933955 (2019 18th International Conference on Optical Communications and Networks, ICOCN 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on Adaptive Optimal Shaping Gain Selection MethodBased on Huffman Coding

AU - Ren, Ziqi

AU - Zhang, Jinlong

AU - Zhang, Qi

AU - Xin, Xiangjun

AU - Tian, Feng

AU - Tian, Qing Hua

AU - Lin, Ming

AU - Wang, Yang

AU - Wang, Yongjun

AU - Yang, Leijing

PY - 2019/8

Y1 - 2019/8

N2 - In this paper, an adaptive optimal shaping gain selection method based on huffman coding is proposed. By nonuniform mapping, the input signal satisfies the optimal (secondary) distribution under different SNR, that is, the input signal is infinitely close to Maxwell Boltzmann distribution, so that the channel capacity wirelessly approaches the Shannon limit. The method not only improves the transmission performance of the system, increases the shaping gain, but also saves the algorithm complexity and system cost, and realizes the optimal distribution of the optimal (secondary)input signals under different SNR, thereby infinitely approaching the high-speed transmission of the channel capacity.

AB - In this paper, an adaptive optimal shaping gain selection method based on huffman coding is proposed. By nonuniform mapping, the input signal satisfies the optimal (secondary) distribution under different SNR, that is, the input signal is infinitely close to Maxwell Boltzmann distribution, so that the channel capacity wirelessly approaches the Shannon limit. The method not only improves the transmission performance of the system, increases the shaping gain, but also saves the algorithm complexity and system cost, and realizes the optimal distribution of the optimal (secondary)input signals under different SNR, thereby infinitely approaching the high-speed transmission of the channel capacity.

KW - Shannon limit

KW - adaptive

KW - probabilistic shaping

KW - shaping gain

UR - http://www.scopus.com/inward/record.url?scp=85078575125&partnerID=8YFLogxK

U2 - 10.1109/ICOCN.2019.8933955

DO - 10.1109/ICOCN.2019.8933955

M3 - Conference contribution

AN - SCOPUS:85078575125

T3 - 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019

BT - 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th International Conference on Optical Communications and Networks, ICOCN 2019

Y2 - 5 August 2019 through 8 August 2019

ER -

Ren Z, Zhang J, Zhang Q, Xin X, Tian F, Tian QH et al. Research on Adaptive Optimal Shaping Gain Selection MethodBased on Huffman Coding. In 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8933955. (2019 18th International Conference on Optical Communications and Networks, ICOCN 2019). doi: 10.1109/ICOCN.2019.8933955

Research on Adaptive Optimal Shaping Gain Selection MethodBased on Huffman Coding

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this