TY - JOUR
T1 - Throughput Analysis of Low-Latency IoT Systems with QoS Constraints and Finite Blocklength Codes
AU - Hu, Yulin
AU - Li, Yi
AU - Gursoy, M. Cenk
AU - Velipasalar, Senem
AU - Schmeink, Anke
N1 - Funding Information:
Manuscript received June 8, 2019; revised November 17, 2019; accepted December 29, 2019. Date of publication January 21, 2020; date of current version March 12, 2020. This work was supported in part by the DFG research under Grant SCHM 2643/16. This article was presented in part at the IEEE International Symposium on Information Theory, Aachen, Germany, in June 2017 [1]. The review of this article was coordinated by Dr. A.-C. Pang. (Corresponding author: Yulin Hu.) Y. Hu and A. Schmeink are with the ISEK Research Group, RWTH Aachen University, D-52074 Aachen, Germany (e-mail: hu@isek.rwth-aachen.de; schmeink@isek.rwth-aachen.de).
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - Internet of Things (IoT) is a promising paradigm to connect massive number of devices in future wireless communications while satisfying various quality of service (QoS) requirements. In this paper, we consider a QoS-constrained IoT system operating with finite blocklength (FBL) codes to support low latency communications. Two data arrival models are considered, namely, constant-rate arrival and ON-OFF discrete-time Markov arrival. The throughput performance is studied for both arrival models under statistical queuing constraints and deadline limits. For the scenario with instantaneous channel state information (CSI), we derive the QoS-constrained throughput expressions for both arrival models. Subsequently, an instantaneous-CSI-driven optimal power control algorithm is proposed to maximize the throughput, while guaranteeing a certain reliability target. In addition, we consider a scenario with only average CSI being available at the transmitter and propose to apply hybrid automatic repeat request (HARQ) schemes to improve the FBL performance. The decoding error probability and the outage probability are first characterized, following which the distribution of transmission period is derived. Furthermore, the throughput expressions are provided for both types of arrivals. Via numerical analysis, the impact of error probability, fixed transmission rate, coding blocklength, and QoS constraints on the throughput is studied.
AB - Internet of Things (IoT) is a promising paradigm to connect massive number of devices in future wireless communications while satisfying various quality of service (QoS) requirements. In this paper, we consider a QoS-constrained IoT system operating with finite blocklength (FBL) codes to support low latency communications. Two data arrival models are considered, namely, constant-rate arrival and ON-OFF discrete-time Markov arrival. The throughput performance is studied for both arrival models under statistical queuing constraints and deadline limits. For the scenario with instantaneous channel state information (CSI), we derive the QoS-constrained throughput expressions for both arrival models. Subsequently, an instantaneous-CSI-driven optimal power control algorithm is proposed to maximize the throughput, while guaranteeing a certain reliability target. In addition, we consider a scenario with only average CSI being available at the transmitter and propose to apply hybrid automatic repeat request (HARQ) schemes to improve the FBL performance. The decoding error probability and the outage probability are first characterized, following which the distribution of transmission period is derived. Furthermore, the throughput expressions are provided for both types of arrivals. Via numerical analysis, the impact of error probability, fixed transmission rate, coding blocklength, and QoS constraints on the throughput is studied.
KW - Finite blocklength
KW - HARQ
KW - QoS
KW - internet of things (IoT)
KW - markov arrivals
KW - power control
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U2 - 10.1109/TVT.2020.2968463
DO - 10.1109/TVT.2020.2968463
M3 - Article
AN - SCOPUS:85082048490
SN - 0018-9545
VL - 69
SP - 3093
EP - 3104
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 3
M1 - 8964482
ER -