Research Area:  Wireless Sensor Networks
Compared with the wired channel, wireless channel transmission has more challenges, such as channel decay, noise and interference and other factors, resulting in stereoscopic video transmission in the wireless channel has higher latency, lower bandwidth and higher error rate and so on. This paper proposes a cross-layer code-rate adaptation and cross-layer error control transmission optimization method. The cross-layer optimization method tunes the coding rate at the application layer, and modulation and channel coding scheme at the physical layer by minimizing the end-to-end stereoscopic video distortion. Thus, the proposed method can reach the goal of adapting source rate to the channel bandwidth as well as leveraging the error control strengths between the application layer and physical layer. The experimental results show that compared with the cross-layer optimization and non-cross-layer optimization methods, our proposed optimization method can improve the peak signal-to-noise ratio (PSNR) of the virtual view-point video.
Author(s) Name:   Wang Zi
Journal name:  Journal of Ambient Intelligence and Humanized Computing
Publisher name:  Springer
Paper Link:   https://link.springer.com/article/10.1007/s12652-019-01620-8