Download mission critical 5g2/2/2024 Targets at the cost of 100$\times$ sample complexity. In contrast, theĭata-driven method shows higher detection accuracy for higher reliability Moderate reliability targets requiring low sample complexity. Results show that the accuracy of detectingĬhannel blocking events is higher using the model-based method for low to Non-blocking connectivity is predicted in conjunction with the confidence of Moreover, the maximum transmission duration for a given reliable By Yannick Lair and Georg Mayer A platform for mission critical (MC) communications and MC Services has been a key priority of 3GPP in recent years and is expected to evolve into the future by taking more requirements, from different sectors of the global critical communications industry, on board. Using principles of survival analysis, the reliability of wirelessĬonnectivity is measured in terms of the probability of channel blockingĮvents. Over a set of training samples with no knowledge on the dynamic channel In particular, model-based and data-driven learningĪpproaches are proposed to estimate the non-blocking connectivity statistics Wireless connectivity over dynamic channels is characterized via statistical Requirements of these applications is challenging due to the absence ofĪccurate statistical models tailored to URC systems. Download a PDF of the paper titled Predictive Ultra-Reliable Communication: A Survival Analysis Perspective, by Sumudu Samarakoon and 3 other authors Download PDF Abstract: Ultra-reliable communication (URC) is a key enabler for supporting immersiveĪnd mission-critical 5G applications.
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