Efficient Sparse Signal Transmission over a Lossy Link Using Compressive Sensing.
Reliable data transmission over lossy communication link is expensive due to overheads for error protection. For signals that have inherent sparse structures, compressive sensing (CS) is applied to facilitate efficient sparse signal transmissions over lossy communication links without data compression or error protection. The natural packet loss in the lossy link is modeled as a random sampling process of the transmitted data, and the original signal will be reconstructed from the lossy transmission results using the CS-based reconstruction method at the receiving end. The impacts of packet lengths on transmission efficiency under different channel conditions have been discussed, and interleaving is incorporated to mitigate the impact of burst data loss. Extensive simulations and experiments have been conducted and compared to the traditional automatic repeat request (ARQ) interpolation technique, and very favorable results have been observed in terms of both accuracy of the reconstructed signals and the transmission energy consumption. Furthermore, the packet length effect provides useful insights for using compressed sensing for efficient sparse signal transmission via lossy links.
State Key Laboratory of Industrial Control Technology, Zhejiang University, Zheda Road 38th, Hangzhou 310027, China. wuliantao@zju.edu.cn.
Liantao
L
Wu
State Key Laboratory of Industrial Control Technology, Zhejiang University, Zheda Road 38th, Hangzhou 310027, China. kaiyuzju@gmail.com.
Kai
K
Yu
State Key Laboratory of Industrial Control Technology, Zhejiang University, Zheda Road 38th, Hangzhou 310027, China. dongyu@zju.edu.cn.
Dongyu
D
Cao
Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. yhhu@wisc.edu.
Yuhen
Y
Hu
State Key Laboratory of Industrial Control Technology, Zhejiang University, Zheda Road 38th, Hangzhou 310027, China. wangzhizju@gmail.com.
Zhi
Z
Wang
D003198:Computer Simulation; D044962:Data Compression / Q000379:methods*; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D059015:Wireless Technology
compressive sensing; lossy wireless link; packet length control; sparse signal transmission