Adaptive Coding for Two-Way Lossy Source-Channel Communication

被引：0
|
作者：
Weng, Jian-Jia [1 ]
Alajaji, Fady [1 ]
Linder, Tamas [1 ]
机构：
[1] Queens Univ, Dept Math & Stat, Kingston, ON K7L 3N6, Canada
来源：
2020 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) | 2020年
基金：
加拿大自然科学与工程研究理事会;
关键词：
Network information theory; two-way channels; lossy transmission; joint source-channel coding; adaptive coding; REGION;
D O I：
10.1109/isit44484.2020.9173946
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
An adaptive joint source-channel coding (JSCC) scheme is presented for transmitting correlated sources over discrete-memoryless two-way channels subject to distortion constraints. The proposed JSCC scheme makes use of the previously transmitted and received channel signals as well as the sources' correlation to facilitate coordination between terminals. It is shown that the adaptive scheme strictly subsumes prior lossy coding methods for two-way simultaneous transmission and yields a new adaptive separate source-channel coding result. Two examples are given to show the scheme's advantages.
引用
收藏
页码：2468 / 2473
页数：6
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