Modulation-Free M2M Communications for Mission-Critical Applications
Songfu Cai, Vincent K. N. Lau · IEEE Transactions on Signal and Information Processing over Networks · 2017
In this paper, we consider a mission-critical control system, where an unstable dynamic plant is monitored by a number of distributed sensors. We propose a novelcontention-freemachine-to-machine (M2M) communication protocol for mission-critical control applications. Using modulation-free transmission, the proposed solution fundamentally exploits theadditive propertiesof the physical wireless channel. In contrast to all the existing digital-based M2M communications that avoid collision between the multiple sensors, the proposed protocol utilizes collision to enhance the system performance. Using the Lyapunov drift analysis approach, we further establish closed-form sufficient requirements on the communication resources needed to achieve stabilization of the mission-critical control system. The proposed scheme is also compared with various baselines and we show that significant performance gains can be achieved.