scholarly journals Network Coding with Multimedia Transmission and Cognitive Networking: An Implementation based on Software-Defined Radio

2021 ◽  
Author(s):  
Tran Thi Thuy Quynh ◽  
Khac-Hoang Ngo ◽  
Nguyen Linh Trung
Keyword(s):  
Cognitive Radio ◽  
Network Coding ◽  
Software Defined Radio ◽  
Source Coding ◽  
Multimedia Transmission ◽  
Multiple Description ◽  
Imperfect Channel Estimation ◽  
Description Coding ◽  
Practical Feasibility

Network coding (NC) is considered a breakthrough to improve throughput, robustness, and security of wireless networks. Although the theoretical aspects of NC have been extensively investigated, there have been only few experiments with pure NC schematics. This paper presents an implementation of NC in a two-way relay model and extend it to two nonstraightforward scenarios: i) multimedia transmission with layered coding and multiple-description coding; ii) cognitive radio with Vandermode Frequency Division Multiplexing (VFDM). The implementation is in real time and based on Software-Define Radio (SDR). The experimental results show that, by combining NC and source coding, we can control the quality of received multimedia content in an on-demand manner. Whereas in the VFDM-based cognitive radio, the received content in the primary receive is low quality (due to imperfect channel estimation) yet retrievable. Our implementation results serve as a proof for the practical feasibility of network coding in relevant applications.

Multiple description image compression based on multiwavelets

2019 ◽  
Vol 17 (01) ◽  
pp. 1850063
Author(s):  
Ning Wang ◽  
Shuangkui Ge ◽  
Baobin Li ◽  
Lizhong Peng
Keyword(s):  
Image Coding ◽  
Packet Loss ◽  
Source Coding ◽  
Statistical Correlation ◽  
Optimization Criterion ◽  
Multiple Description Coding ◽  
Transform Coding ◽  
Original Image ◽  
Multiple Description ◽  
Description Coding

Multiple description coding (MDC) is one of the source coding techniques to alleviate the problems of packet loss in the network. The decoder estimates the lost signals from received ones, based on the certain statistical correlation between descriptions. However, this correlation also leads to compression redundancy at the same time. Therefore, how to make efficient use of the introduced correlation has great importance in practical MDC approaches. In this paper, we propose a multiple description image coding scenario based on balanced multiwavelets. Two simple and effective methods to reconstruct the original image from partial descriptions are suggested. Furthermore, optimization criterion corresponding to this multiwavelet based system is provided. According to this criterion, we can choose appropriate multifilter banks to satisfy different demands. Experimental results show that the optimized multifilter banks in a simulated transform coding environment perform very well.

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