On using game theory to rate allocation in joint source-channel coding

Author

Teng Li ; Yaoyao Guo ; Tiantian Ran ; Songlin Sun

Author_Institution

Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2014

fDate

24-26 Sept. 2014

Firstpage

578

Lastpage

582

Abstract

In Joint source-channel coding (JSCC), the source coding improves coding efficiency, while channel coding improves transmission reliability. Due to channel capacity is limited in video transmission, allocation bandwidth between source and channel needs a tradeoff in order to achieve optimum effect of transmission. In this paper, cooperative game theory is used in the part of allocation rate in the JSCC model, and convert it into a static Nash bargaining issues, then solve the Nash equilibrium results. This method makes full use of the channel resources, and optimizes the quality of the video.

Keywords

bandwidth allocation; channel capacity; channel coding; game theory; source coding; wireless channels; JSCC; Nash equilibrium; bandwidth allocation; channel capacity; channel resources; cooperative game theory; joint source-channel coding; static Nash bargaining issue; transmission reliability; video transmission; Bandwidth; Channel coding; Games; Joints; Resource management; Source coding; Game theory; JSCC; Rate Allocation;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Information Technologies (ISCIT), 2014 14th International Symposium on

Conference_Location

Incheon

Type

conf

DOI

10.1109/ISCIT.2014.7011981

Filename

7011981