Packet Error Probability and Effective Throughput for Ultra-Reliable and Low-Latency UAV Communications

Abstract

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.

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

“…Due to lack of authentication mechanisms, the attacker may also collect information related to the commands and controls, and the data traffic [107]. If the attacker can successfully attract the control packets during the discovery of a route, it can perform many attacks such as, disconnecting a specific link, rejecting the legitimate routing messages, cache poisoning, or modifying the control packets [120], [121].…”

UAV-Enabled Ultra-Reliable Low-Latency Communications for 6G: A Comprehensive Survey

“…Technical and Mathematical Analysis [42], [46], [47], [57], [58] Cross-layer & Other Optimization Frameworks [50], [52], [53], [54], [55], [56] Joint Optimization with UAV position [41], [44], [51] Joint Optimization with Blocklength allocation [43], [45], [48], [49] latency communication channel, i.e., consistent reduction of packet error probability and then delay reduction due to possible retransmission. However, in order to successful realize UAV-enabled URLLC, it is still necessary to address some challenges which, depending on the considered application scenario, ranges from jointly optimizing different KPIs to perform cross-layer optimization.…”

“…A study on the average packet error probability (APEP) and the effective throughput (ET) in a control link communication between a GCS and a UAV that requires URLLC has been presented in [46]. As in [42], it has been assumed that a GCS sends control signals to a UAV, which is able to fly freely in any direction within the space defined by an inverted cone centered at the GCS, and which has stringent QoS requirements in terms of ultra-high reliability and ultralow latency.…”

“…Insigths and performance comparison under different assumptions on relay protocols and channel models has been provided. [46] A ground Control Station sends control signals to a UAV, which has stringent QoS requirements in terms of ultrahigh reliability and ultra-low latency.…”

Detection Performance to Spatially Random UAV Using the Ground Vehicle

“…In (8), the detection event is encountered when the instantaneous detection capacity of G2V to G2A link becomes higher than the detection rate threshold, C th (C th ≥ 0). Then, one can write the DOP as…”