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Open AccessJournal ArticleDOI

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

TLDR
The optimal value of packet length is obtained with the objective of maximizing the ET by applying one-dimensional search in unmanned-aerial-vehicle (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.

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Citations
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Journal ArticleDOI

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

TL;DR: In this paper, the authors provide a comprehensive survey about the current state-of-the-art (SoA) on UAV-enabled low-latency communications (URLLC) networks.
Journal ArticleDOI

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

TL;DR: In this article, the authors explore the vulnerabilities in the security protocols and propose guidelines to improve the security and provide future research directions, which can be exploited by the malicious UAVs.
Journal ArticleDOI

Proactive UAV Network Slicing for URLLC and Mobile Broadband Service Multiplexing

TL;DR: A distributed learning method to predict mobile users’ locations, where partial user location information stored on each UAV is utilized to train user location prediction networks, and a Lyapunov-based optimization framework is developed to cope with the challenging sequence-dependent characteristic of the problem.
Journal ArticleDOI

AoI-Driven Statistical Delay and Error-Rate Bounded QoS Provisioning for mURLLC Over UAV-Multimedia 6G Mobile Networks Using FBC

TL;DR: This work develops FBC based statistical delay and error-rate bounded QoS provisioning schemes which leverage AoI as a key QoS Provisioning technique for mURLLC over UAV mobile networks and solves peak AoI violation probability minimization problem.
Book ChapterDOI

What Is an Exponential Function

TL;DR: In this article, the authors examined the richness and complexity of their own mathematical experience of exponential functions, and considered how this complex experience might lead us eventually to appreciate the way exponential functions are usually treated in an analysis course.
References
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A mathematical theory of communication

TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
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Convex Optimization

TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Journal ArticleDOI

Channel Coding Rate in the Finite Blocklength Regime

TL;DR: It is shown analytically that the maximal rate achievable with error probability ¿ isclosely approximated by C - ¿(V/n) Q-1(¿) where C is the capacity, V is a characteristic of the channel referred to as channel dispersion, and Q is the complementary Gaussian cumulative distribution function.
Journal ArticleDOI

Wireless communications with unmanned aerial vehicles: opportunities and challenges

TL;DR: An overview of UAV-aided wireless communications is provided, by introducing the basic networking architecture and main channel characteristics, highlighting the key design considerations as well as the new opportunities to be exploited.
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