Anytime Reliable LDPC Convolutional Codes for Networked Control Over Wireless Channel
In this paper, the authors deal with the problem of stabilizing an unstable system through networked control over the wireless medium. In such a situation, a remote sensor communicates the measurements to the system controller through a noisy channel. In particular, in the AWGN scenario, they show that protograph-based LDPC convolutional codes achieve anytime reliability and they also derive a lower bound to the signal-to-noise ratio required to stabilize the system. Moreover, on the Rayleigh-fading channel, they show by simulations that resorting to multiple sensors allows achieving a diversity gain.