TY - JOUR
T1 - Packet Error Probability and Effective Throughput for Ultra-reliable and Low-latency UAV Communications
AU - Wang, Kezhi
AU - Pan, Cunhua
AU - Ren, Hong
AU - Xu, Wei
AU - Zhang, Lei
AU - Nallanathan, Arumugam
N1 - Funding Information:
The work of W. Xu was supported in part by the Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars under Grant BK20190012, and the NSFC under grants 61871109 and 61941115; The work of L. Zhang was supported in part by the U.K. Engineering and Physical Sciences Research Council (EP/S02476X/1).
PY - 2021/1/1
Y1 - 2021/1/1
N2 - In this paper, we study the average packet error probability (APEP) and effective throughput (ET) of the control link in unmanned-aerial-vehicle (UAV) communications, where the ground central station (GCS) sends control signals to the UAV that requires ultra-reliable and low-latency communications (URLLC). To ensure the low latency, short packets are adopted for the control signal. As a result, the Shannon capacity theorem cannot be adopted here due to its assumption of infinite channel blocklength. We consider both free space (FS) and 3-Dimensional (3D) channel models by assuming that the locations of the UAV are randomly distributed within a restricted space. We first characterize the statistical characteristics of the signal-to-noise ratio (SNR) for both FS and 3D models. Then, the closed-form analytical expressions of APEP and ET are derived by using Gaussian-Chebyshev quadrature. Also, the lower bounds are derived to obtain more insights. Finally, we obtain the optimal value of packet length with the objective of maximizing the ET by applying one-dimensional search. Our analytical results are verified by the Monte-Carlo simulations. Keywords – UAV, URLLC, packet error probability, effective throughput, short packet transmission.
AB - In this paper, we study the average packet error probability (APEP) and effective throughput (ET) of the control link in unmanned-aerial-vehicle (UAV) communications, where the ground central station (GCS) sends control signals to the UAV that requires ultra-reliable and low-latency communications (URLLC). To ensure the low latency, short packets are adopted for the control signal. As a result, the Shannon capacity theorem cannot be adopted here due to its assumption of infinite channel blocklength. We consider both free space (FS) and 3-Dimensional (3D) channel models by assuming that the locations of the UAV are randomly distributed within a restricted space. We first characterize the statistical characteristics of the signal-to-noise ratio (SNR) for both FS and 3D models. Then, the closed-form analytical expressions of APEP and ET are derived by using Gaussian-Chebyshev quadrature. Also, the lower bounds are derived to obtain more insights. Finally, we obtain the optimal value of packet length with the objective of maximizing the ET by applying one-dimensional search. Our analytical results are verified by the Monte-Carlo simulations. Keywords – UAV, URLLC, packet error probability, effective throughput, short packet transmission.
KW - UAV
KW - URLLC
KW - effective throughput
KW - packet error probability
KW - short packet transmission
UR - http://www.scopus.com/inward/record.url?scp=85099759091&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2020.3025578
DO - 10.1109/TCOMM.2020.3025578
M3 - Article
SN - 0096-1965
VL - 69
SP - 73
EP - 84
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 1
M1 - 9201529
ER -