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IEEE Internet of Things Journal

Security-Oriented Pilot and Data Transmission for URLLC in Mission-Critical IoT Scenarios

Yuncong Xie, Pinyi Ren, Dongyang Xu

Published Mar 29, 2023• 7 citations
Publisher

Abstract

In this article, we focus on the joint design of channel training and data transmission for secure ultrareliable and low-latency communications (URLLCs) in mission-critical Internet of Things (IoT) scenarios, e.g., intelligent transportation and remote control. Specifically, we consider a multiple-input multiple-output multiantenna eavesdropper (MIMOME) system, and the role of artificial noise (AN) for securing URLLC in this system is studied. In the channel training phase, we use the two-way discriminatory channel estimation (DCE) protocol with AN injection to suppress the channel estimation accuracy at eavesdropper. Meanwhile, the AN-assisted secrecy beamforming scheme is adopted to mask the confidential data signals. Following by the security enhancements above, we provide a quantitative definition of achievable effective secrecy rate (AESR) to measure the performance of our URLLC system with imperfect channel state information (CSI) and short-packet feature. Then, a nonasymptotic closed-form lower bound of AESR is provided to make the numerical calculation tractable, and the asymptotic system performance in the high-SNR regime is also studied to gain a comprehensive insight. Based on the cyclic coordinated search method, we propose an iterative resource allocation algorithm to maximize the AESR of our system, where the blocklength and transmit power assigned to the reverse/forward pilots, confidential data signals, and AN are jointly optimized. In addition, numerical results reveal the AESR performance of our URLLC system for different system parameters, and demonstrate the convergence and superiority of our proposed algorithm.

DOI
10.1109/jiot.2023.3262818

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In this article, we focus on the joint design of channel training and data transmission for secure ultrareliable and low-latency communications (URLLCs) in mission-critical Internet of Things (IoT) scenarios, e.g., intelligent transportation and remote control. Specifically, we consider a multiple-input multiple-output multiantenna eavesdropper (MIMOME) system, and the role of artificial noise (AN) for securing URLLC in this system is studied. In the channel training phase, we use the two-way discriminatory channel estimation (DCE) protocol with AN injection to suppress the channel estimation accuracy at eavesdropper. Meanwhile, the AN-assisted secrecy beamforming scheme is adopted to mask the confidential data signals. Following by the security enhancements above, we provide a quantitative definition of achievable effective secrecy rate (AESR) to measure the performance of our URLLC system with imperfect channel state information (CSI) and short-packet feature. Then, a nonasymptotic closed-form lower bound of AESR is provided to make the numerical calculation tractable, and the asymptotic system performance in the high-SNR regime is also studied to gain a comprehensive insight. Based on the cyclic coordinated search method, we propose an iterative resource allocation algorithm to maximize the AESR of our system, where the blocklength and transmit power assigned to the reverse/forward pilots, confidential data signals, and AN are jointly optimized. In addition, numerical results reveal the AESR performance of our URLLC system for different system parameters, and demonstrate the convergence and superiority of our proposed algorithm.
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In this letter, we focus on the secrecy outage analysis of ultra-reliable low-latency communication (URLLC) systems in the presence of randomly located eavesdroppers and imperfect channel state information (CSI). To be specific, the secrecy outage probability (SOP) of pilot-assisted URLLC system is investigated, which is defined as the probability that either the reliability const-raint or the secrecy constraint cannot be satisfied when the packet is delivered with a target data rate and blocklength. In fact, the definition of SOP in URLLC scenarios with short-packet feature is evidently different from that in the infinite blocklength regime. Inspired by this, we first propose a novel analytical framework to approximate the SOP in a tractable manner. Then, the asymptotic behaviours of SOP in the high-SNR and large-antenna cases are also analyzed to gain a comprehensive insight. Numerical results illustrate how the SOP of our pilot-assisted URLLC system varies with specific transmission parameters.
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In this paper, we propose enhancing physical layer security (PLS) of ultra-reliable low latency communication (URLLC) in a full-duplex cooperative non-orthogonal multiple access (FD-CNOMA) based Internet of Things (IoT) network. We analyze the PLS performance of a two-user FD-CNOMA system, where a source node transmits the short packet URLLC information to a near user and a far cell-edge user in the presence of an external eavesdropper. To ensure the security and reliability of URLLC signal transmission, the near user is utilized as a cooperative relay for transmitting the information intended for the far user, and also transmits an artificial noise (AN) signal to mitigate the impact of eavesdropping. An approximate closed-form expression of the average secure block error rate (SBLER) and the average secrecy throughput (AST) of the legitimate users under eavesdropping is derived. The analytical framework presented in this work considers the URLLC signal transmission with and without AN signal while evaluating the impact of residual self-interference (RSI) at the relay node on the PLS performance of the FD-CNOMA system. Thus, to improve the PLS performance and maximize the system AST, we optimize the URLLC blocklength and power allocation coefficient (PAC) at the source. The numerical and simulation results validate the proposed analytical framework and demonstrate a significant improvement of average SBLER and overall system AST (SAST) using AN-assisted URLLC signal transmission in the FD-CNOMA system.
Abstract In this paper, we investigate the secrecy performance of short-packet transmissions in ultra-reliable and low-latency communications (URLLC). We consider the scenario where a multi-antenna source communicates with a single-antenna legitimate receiver requiring ultra-high reliability and low latency, in the presence of a single-antenna eavesdropper. In order to safeguard URLLC, the source transmits the artificial noise (AN) signal together with the confidential signal to confuse the eavesdropper. We adopt a lower bound on the maximal secrecy rate as the secrecy performance metric for short-packet transmissions in URLLC, which takes the target decoding error probabilities at the legitimate receiver and the eavesdropper into account. Using this metric, we first derive a compact expression of the generalized secrecy outage probability (SOP). Then, we formally prove that the generalized SOP is a convex function with respect to the power allocation factor between the confidential signal and the AN signal. We further determine the optimal power allocation factor that minimizes the generalized SOP. The results presented in this work can be useful for designing new secure transmission schemes for URLLC.
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