TY - GEN
T1 - Asymptotic Analysis of the Reliability-Latency Tradeoff for URLLC in the High SNR Regime
AU - Wang, Yalei
AU - Chen, Wei
AU - Poor, H. Vincent
N1 - Funding Information:
This research was supported in part by the National Natural Science Foundation of China under grant No. 61971264, the National Key R&D Program of China under Grant 2018YFA0701601, the Beijing Natural Science Foundation under grant No. 4191001, and the U.S. National Science Foundation under Grants CCF-0939370, CCF-1513915, and CCF-1908308.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Ultra-Reliable and Low-Latency Communications (URLLC) has attracted considerable attention because of its potential applications in factory automation, automated driving, and telesurgery anticipated for the era of the sixth-Generation (6G) networks. In URLLC with random channel gains and a hard delay constraint, the scheduling of backlogged queues and finite blocklength coding in the physical layer make it rather challenging to specify its performance limit. In this paper, we focus our attention on the asymptotic cross-layer analysis of URLLC when the Signal-to-Noise Ratio (SNR) is sufficiently high. More specifically, we find that a fundamental tradeoff exists between the latency and error probability in the high SNR regime, which is characterized by a gain conservation equation. The main result of this work reveals that the sum of our defined real-time gain and reliability gain is equal to one under the optimal scheduling policy. Numerical simulations are also exploited to validate that the derived gain conservation equation holds even with bounded random arrival.
AB - Ultra-Reliable and Low-Latency Communications (URLLC) has attracted considerable attention because of its potential applications in factory automation, automated driving, and telesurgery anticipated for the era of the sixth-Generation (6G) networks. In URLLC with random channel gains and a hard delay constraint, the scheduling of backlogged queues and finite blocklength coding in the physical layer make it rather challenging to specify its performance limit. In this paper, we focus our attention on the asymptotic cross-layer analysis of URLLC when the Signal-to-Noise Ratio (SNR) is sufficiently high. More specifically, we find that a fundamental tradeoff exists between the latency and error probability in the high SNR regime, which is characterized by a gain conservation equation. The main result of this work reveals that the sum of our defined real-time gain and reliability gain is equal to one under the optimal scheduling policy. Numerical simulations are also exploited to validate that the derived gain conservation equation holds even with bounded random arrival.
UR - http://www.scopus.com/inward/record.url?scp=85123809090&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123809090&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM46510.2021.9685209
DO - 10.1109/GLOBECOM46510.2021.9685209
M3 - Conference contribution
AN - SCOPUS:85123809090
T3 - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
BT - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021
Y2 - 7 December 2021 through 11 December 2021
ER -