Title :
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
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;
Conference_Titel :
Communications and Information Technologies (ISCIT), 2014 14th International Symposium on
Conference_Location :
Incheon
DOI :
10.1109/ISCIT.2014.7011981
