Author Description

"Pursuing ever higher data rates has been the central design goal in all the previous generations of mobile communications. This has been changed in the fifth generation (5G) mobile communications that aim to support various new emerging services with diverse and stringent quality-of-service requirements. The most formidable challenge in 5G is to achieve ultra-reliable low-latency communications (URLLC) for many mission-critical services including autonomous vehicles, industry automation, and tele-robotic surgery, i.e., the roundtrip delay of 1 millisecond and less than 1 out of a million in packet loss. In the fourth generation (4G) systems, the average latency is usually a few hundred milliseconds, and the packet loss probability is around 1%. 5G systems need to significantly improve the latency and reliability by several orders of magnitude compared to 4G systems. This presents unprecedented challenges. This book covers a range of topics from fundamental theories to practical solutions in URLLC. In Chapters 2 and 3, the authors analyze the statistical features and tail distributions of wireless channel and provide useful insights on the performance of URLLC. Chapter 2 presents the statistical aspects of URLLC in both frequentist and Bayesian approaches. The authors have analyzed the statistical features and guarantees for outage probability in a narrowband wireless channel. Chapter 3 considers various metrics of URLLC including tail distribution, higher-order statistics, extreme events with very low occurrence probabilities, worst-case metrics, and reliability/latency. The authors have introduced readers the entropic risk measure in financial mathematics, generalized extreme value, and generalized Pareto distribution to investigate these metrics. From Chapter 4 to Chapter 7, the authors introduced several techniques to guarantee the reliability and latency of URLLC, including machine learning, candidate channel codes, sparse vector coding, and network slicing. Tw