基于彩色可见光的大数据视频流并行编码与传输算法
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摘要
针对可分级视频编码数据流在可见光通信中传输的可靠性问题,提出了一种可分级编码视频在可见光通信的自适应传输方案。首先,从信道状态信息中提取可见光的颜色混合比例与亮度等信息;然后,根据颜色混合比例将RGB三个颜色的信道分配至视频的每个层,对光通信的误码率与视频质量进行联合优化,保证接收视频的质量;最终,根据光亮度对视频数据流的信道分配做进一步优化,提高视频流在光信道传输的可靠性。仿真实验结果表明:本方案能够提高可分级视频编码数据流在彩色可见光通信中的传输性能。
Aiming at the reliability problem of scalable video coded data stream transmission in visible light communication, an adaptive transmission scheme of scalable coded video in visible light communication is proposed. Firstly, color mixture ratio and luminance of the visible light are abstracted from the channel state information; then,three channels of RGB color are assigned to each layer of video stream according to the color mixture ratio,and bit error rate and video quality of light communication are optimized jointly to enhance the quality of received video; lastly, channel allocation schema of video data stream is further optimized according to the light luminance to improve the reliability of video stream transmission through light channels. Simulation experimental results show that the proposed schema improves the performance of scalable video coding stream transmission through color visible light communication.
Aiming at the reliability problem of scalable video coded data stream transmission in visible light communication, an adaptive transmission scheme of scalable coded video in visible light communication is proposed. Firstly, color mixture ratio and luminance of the visible light are abstracted from the channel state information; then,three channels of RGB color are assigned to each layer of video stream according to the color mixture ratio,and bit error rate and video quality of light communication are optimized jointly to enhance the quality of received video; lastly, channel allocation schema of video data stream is further optimized according to the light luminance to improve the reliability of video stream transmission through light channels. Simulation experimental results show that the proposed schema improves the performance of scalable video coding stream transmission through color visible light communication.
引文
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[2]陈能美,刘晓静.基于随机森林算法的信道场景分类模型研究[J].重庆理工大学学报(自然科学),2017,31(4):134-140.
[3]李湘,蓝天,王云,等.室内可见光通信系统中菲涅尔透镜接收天线的设计研究[J].物理学报,2015,64(2):112-118.
[4]何军,周颢,赵保华.协作式视频缓存系统中流量感知的调度机制[J].小型微型计算机系统,2014,35(1):64-69.
[5]陈能美,刘晓静.基于随机森林算法的信道场景分类模型研究[J].重庆理工大学学报(自然科学),2017,31(4):134-140.
[6]李晓妮,陈绵书,桑爱军,等.质量可伸缩高性能视频编码中增强层快速算法[J].吉林大学学报(工学版),2017,47(2):670-676.
[7]刘晟,彭宗举,陈嘉丽,等.基于多类支持向量机的3D.HEVC深度视频帧内编码快速算法[J].通信学报,2016,37(11):181-188.
[8]黎洪松,程福林,艾新宇.视频编码技术的若干新进展[J].计算机应用研究,2016,33(8):2246-2254.
[9]杨磊,苏令华,吴宝刚,等.一种结合CEM的高光谱遥感影像目标检测算法[J].重庆理工大学学报(自然科学),2017,31(12):146-150.
[10]廖仕利,李文杰,赵立鑫.基于PFM的宽角度红外光音频通信系统[J].重庆理工大学学报(自然科学),2015,29(8):99-103.
[11]WANG Z,YU C,ZHONG W D,et al.Performance of variable M-QAM OFDM visible light communication system with dimming control[C]//Opto-Electronics and Communications Conference.Korea:[s.n.],2012:741-742.
[12]YALLOUZ J,ORDA A.Tunable Qo S-Aware Network Survivability[J].IEEE/ACM Transactions on Networking,2017,25(1):139-149.
[13]KSENTINI A,TALEB T,LETAIF K B.Qo E-Based Flow Admission Control in Small Cell Networks[J].IEEETransactions on Wireless Communications,2016,15(4):2474-2483.
[14]ZHAO L,WANG L,ZHANG X,et al.Social-Aware Cooperative Video Distribution via SVC Streaming Multicast[J].Wireless Communications and Mobile Computing,2018,2018(4):1-9.
[15]RHAIEM O B,CHAARI L.Information transmission based on network coding over wireless networks:a survey[J].Telecommunication Systems,2017,65(4):1-15.
[16]田会娟,柳建新,洪振,等.基于脉冲宽度调制的R/G/B/WW 4色发光二极管调光调色方法[J].光学学报,2018,38(4):305-311.
[17]武梦龙,郭佳,刘文楷,等.LED作为收发元件的双向可见光通信系统方案及实现[J].光学学报,2018,38(4):62-68.
[18]NOH J,LEE S,KIM J,et al.A dimming controllable VP-PM-based VLC system and its implementation[J].Optics Communications,2015,343(2):34-37.
[19]PATIL V M,UJJINIMATAD R,PATIL S R.Correction to:Signal Detection in Cognitive Radio Networks over AWGN and Fading Channels[J].International Journal of Wireless Information Networks,2018,25(1):87-87.
[20]MIN-WOO P,GWANG-HOON P,SEYOON J.Adaptive GOP Structure for Joint Scalable Video Coding[J].Ieice Transactions on Communications,2007,90-B(2):431-434.
[21]闫夏超,朱江,张蜡宝,等.基于超导纳米线单光子探测器深空激光通信模型及误码率研究[J].物理学报,2017,66(19):320-326.