Predictive Ultra-Reliable Communication: A Survival Analysis Perspective

Abstract

Ultra-reliable communication (URC) is a key enabler for supporting immersive and mission-critical 5G applications. Meeting the strict reliability requirements of these applications is challenging due to the absence of accurate statistical models tailored to URC systems. In this letter, the wireless connectivity over dynamic channels is characterized via statistical learning methods. In particular, model-based and data-driven learning approaches are proposed to estimate the non-blocking connectivity statistics over a set of training samples with no knowledge on the dynamic channel statistics. Using principles of survival analysis, the reliability of wireless connectivity is measured in terms of the probability of channel blocking events. Moreover, the maximum transmission duration for a given reliable non-blocking connectivity is predicted in conjunction with the confidence of the inferred transmission duration. Results show that the accuracy of detecting channel blocking events is higher using the model-based method for low to moderate reliability targets requiring low sample complexity. In contrast, the data-driven method yields a higher detection accuracy for higher reliability targets at the cost of 100× sample complexity.

Robust Downlink Multi-Antenna Beamforming With Heterogenous CSI: Enabling eMBB and URLLC Coexistence

“…Interestingly, relying on a limited number of past channel measurements to design URLLC-supporting precoders, although appealing, has not been considered in the literature to the best of authors' knowledge. Still, exploiting channel history has already proven valuable to enable URLLC [19]- [22]. For instance, the authors in [19] proposed an interference prediction algorithm for supporting URLLC.…”

General Internet service assessment by latency including partial measurements

“…Survival theory has already been applied in different fields, including digital communication. Samarakoon et al (2021) applied survival analysis to evaluate the reliability of wireless connectivity by the probability of channel blocking events. They predicted the maximum transmission duration without failure.…”

A Game Theoretic Approach to Age of Information in Modern Random Access Systems

“…Many papers in the recent literature focus on the AoI metric, especially using it to capture the performance of remote sensing in IoT systems. This is also reminiscent of investigations of service availability or survivability in mission-critical application [21]. Already the seminal paper [1] considers slotted ALOHA as one of the reference scenarios; IRSA [20] can be considered as a generalization of this technique.…”