Joint source-channel optimization of vector quantization with polar codes

Mohammad Sadegh Mohammadi; Eryk Dutkiewicz; Qi Zhang

doi:10.1109/VTCFall.2016.7881061

Joint source-channel optimization of vector quantization with polar codes

Mohammad Sadegh Mohammadi, Eryk Dutkiewicz, Qi Zhang

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

Abstract

Joint application of polar channel coding combined with vector quantization lossy source coding is considered in this paper. The existing index assignment schemes in the literature cannot be used with polar codes due to their unique crossover probabilities. We elaborate on this problem and locally optimize index assignments. In addition, we propose an algorithm that jointly optimizes the number of quantization levels and the rate of the polar code in order to achieve minimum end-to-end distortion. It finds the optimal tradeoff between the distortion caused by channel errors and the quantization distortion. We also derive estimates for the crossover probabilities of the polar code which are required in the analysis. Simulation results confirm the effectiveness of the proposed algorithms and the accuracy of the crossover probabilities.

Original language	English
Title of host publication	2016 IEEE 84th Vehicular Technology Conference (VTC Fall)
Subtitle of host publication	proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Electronic)	9781509017010
ISBN (Print)	9781509017027
DOIs	https://doi.org/10.1109/VTCFall.2016.7881061
Publication status	Published - 2016
Externally published	Yes
Event	84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada Duration: 18 Sept 2016 → 21 Sept 2016

Other

Other	84th IEEE Vehicular Technology Conference, VTC Fall 2016
Country/Territory	Canada
City	Montreal
Period	18/09/16 → 21/09/16

Access to Document

10.1109/VTCFall.2016.7881061

Cite this

@inproceedings{819294644b39415aa01b94699c27d91b,

title = "Joint source-channel optimization of vector quantization with polar codes",

abstract = "Joint application of polar channel coding combined with vector quantization lossy source coding is considered in this paper. The existing index assignment schemes in the literature cannot be used with polar codes due to their unique crossover probabilities. We elaborate on this problem and locally optimize index assignments. In addition, we propose an algorithm that jointly optimizes the number of quantization levels and the rate of the polar code in order to achieve minimum end-to-end distortion. It finds the optimal tradeoff between the distortion caused by channel errors and the quantization distortion. We also derive estimates for the crossover probabilities of the polar code which are required in the analysis. Simulation results confirm the effectiveness of the proposed algorithms and the accuracy of the crossover probabilities.",

author = "Mohammadi, {Mohammad Sadegh} and Eryk Dutkiewicz and Qi Zhang",

year = "2016",

doi = "10.1109/VTCFall.2016.7881061",

language = "English",

isbn = "9781509017027",

booktitle = "2016 IEEE 84th Vehicular Technology Conference (VTC Fall)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "84th IEEE Vehicular Technology Conference, VTC Fall 2016 ; Conference date: 18-09-2016 Through 21-09-2016",

}

Mohammadi, MS, Dutkiewicz, E & Zhang, Q 2016, Joint source-channel optimization of vector quantization with polar codes. in 2016 IEEE 84th Vehicular Technology Conference (VTC Fall): proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, 84th IEEE Vehicular Technology Conference, VTC Fall 2016, Montreal, Canada, 18/09/16. https://doi.org/10.1109/VTCFall.2016.7881061

Joint source-channel optimization of vector quantization with polar codes. / Mohammadi, Mohammad Sadegh; Dutkiewicz, Eryk; Zhang, Qi.
2016 IEEE 84th Vehicular Technology Conference (VTC Fall): proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016.

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

TY - GEN

T1 - Joint source-channel optimization of vector quantization with polar codes

AU - Mohammadi, Mohammad Sadegh

AU - Dutkiewicz, Eryk

AU - Zhang, Qi

PY - 2016

Y1 - 2016

N2 - Joint application of polar channel coding combined with vector quantization lossy source coding is considered in this paper. The existing index assignment schemes in the literature cannot be used with polar codes due to their unique crossover probabilities. We elaborate on this problem and locally optimize index assignments. In addition, we propose an algorithm that jointly optimizes the number of quantization levels and the rate of the polar code in order to achieve minimum end-to-end distortion. It finds the optimal tradeoff between the distortion caused by channel errors and the quantization distortion. We also derive estimates for the crossover probabilities of the polar code which are required in the analysis. Simulation results confirm the effectiveness of the proposed algorithms and the accuracy of the crossover probabilities.

AB - Joint application of polar channel coding combined with vector quantization lossy source coding is considered in this paper. The existing index assignment schemes in the literature cannot be used with polar codes due to their unique crossover probabilities. We elaborate on this problem and locally optimize index assignments. In addition, we propose an algorithm that jointly optimizes the number of quantization levels and the rate of the polar code in order to achieve minimum end-to-end distortion. It finds the optimal tradeoff between the distortion caused by channel errors and the quantization distortion. We also derive estimates for the crossover probabilities of the polar code which are required in the analysis. Simulation results confirm the effectiveness of the proposed algorithms and the accuracy of the crossover probabilities.

UR - http://www.scopus.com/inward/record.url?scp=85016975244&partnerID=8YFLogxK

U2 - 10.1109/VTCFall.2016.7881061

DO - 10.1109/VTCFall.2016.7881061

M3 - Conference proceeding contribution

SN - 9781509017027

BT - 2016 IEEE 84th Vehicular Technology Conference (VTC Fall)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 84th IEEE Vehicular Technology Conference, VTC Fall 2016

Y2 - 18 September 2016 through 21 September 2016

ER -

Joint source-channel optimization of vector quantization with polar codes

Abstract

Other

Access to Document

Other files and links

Fingerprint

Cite this