TY - GEN
T1 - Analyses for Age of Information Supporting URLLC over Multimedia Wireless Networks
AU - Zhang, Xi
AU - Zhu, Qixuan
AU - Poor, H. Vincent
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - Ultra-reliable and low-latency communication (URLLC) networks aim at providing a wide range of delay-sensitive multimedia services and applications by satisfying users' stringent requirements on the delay-bounded quality of service (QoS). The age of information (AoI) theory characterizes the freshness of information, which is the time-difference between the current time and the time-stamp of the latest observation, and thus, has been proposed to analyze the information latency in URLLC. This paper proposes to apply the AoI theory to study the information latency and to improve the delay-bounded QoS performance in URLLC networks, by analyzing the AoI over a stationary and ergodic first-come-first-serve M/M/1 channel using a stochastic hybrid system (SHS) model. By applying the SHS model, the transitions of AoI between states are triggered by stochastic events, and the probability that a transition occurs depends on both the continuous and discrete components of the current SHS state. We also derive the joint probability density function and expectation of AoI through the investigation of moment dynamics by using the SHS model. Finally, we evaluate and validate our derived results of distribution and expectation of AoI in URLLC networks through numerical analyses.
AB - Ultra-reliable and low-latency communication (URLLC) networks aim at providing a wide range of delay-sensitive multimedia services and applications by satisfying users' stringent requirements on the delay-bounded quality of service (QoS). The age of information (AoI) theory characterizes the freshness of information, which is the time-difference between the current time and the time-stamp of the latest observation, and thus, has been proposed to analyze the information latency in URLLC. This paper proposes to apply the AoI theory to study the information latency and to improve the delay-bounded QoS performance in URLLC networks, by analyzing the AoI over a stationary and ergodic first-come-first-serve M/M/1 channel using a stochastic hybrid system (SHS) model. By applying the SHS model, the transitions of AoI between states are triggered by stochastic events, and the probability that a transition occurs depends on both the continuous and discrete components of the current SHS state. We also derive the joint probability density function and expectation of AoI through the investigation of moment dynamics by using the SHS model. Finally, we evaluate and validate our derived results of distribution and expectation of AoI in URLLC networks through numerical analyses.
KW - Age of information (AoI)
KW - fifth generation (5G) networks
KW - quality-of-service (QoS)
KW - stochastic hybrid systems (SHS)
KW - ultra-reliable and low-latency communications (URLLC)
UR - http://www.scopus.com/inward/record.url?scp=85090395882&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090395882&partnerID=8YFLogxK
U2 - 10.1109/SPAWC48557.2020.9154220
DO - 10.1109/SPAWC48557.2020.9154220
M3 - Conference contribution
AN - SCOPUS:85090395882
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
BT - 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020
Y2 - 26 May 2020 through 29 May 2020
ER -