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arXiv:2511.18428

Joint Optimization for Security and Reliability in Round-Trip Transmissions for URLLC services

Le, Xinyan, Zhu, Yao, Hu, Yulin, Han, Bin

Published Nov 23, 2025• 0 citations
arXivHTMLPDF

Abstract

Physical layer security (PLS) is a potential solution for secure and reliable transmissions in future Ultra-Reliable and Low-Latency Communications (URLLC). This work jointly optimizes redundant bits and blocklength allocation in practical round-trip transmission scenarios. To minimize the leakage-failure probability, a metric that jointly characterizes security and reliability in PLS, we formulate an optimization problem for allocating both redundant bits and blocklength. By deriving the boundaries of the feasible set, we obtain the globally optimal solution for this integer optimization problem. To achieve more computationally efficient solutions, we propose a block coordinate descent (BCD) method that exploits the partial convexity of the objective function. Subsequently, we develop a majorization-minimization (MM) algorithm through convex approximation of the objective function, which further improves computational efficiency. Finally, we validate the performance of the three proposed approaches through simulations, demonstrating their practical applicability for future URLLC services.

DOI
10.48550/arxiv.2511.18428

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Physical layer security (PLS) is a potential solution for secure and reliable transmissions in future Ultra-Reliable and Low-Latency Communications (URLLC). This work jointly optimizes redundant bits and blocklength allocation in practical round-trip transmission scenarios. To minimize the leakage-failure probability, a metric that jointly characterizes security and reliability in PLS, we formulate an optimization problem for allocating both redundant bits and blocklength. By deriving the boundaries of the feasible set, we obtain the globally optimal solution for this integer optimization problem. To achieve more computationally efficient solutions, we propose a block coordinate descent (BCD) method that exploits the partial convexity of the objective function. Subsequently, we develop a majorization-minimization (MM) algorithm through convex approximation of the objective function, which further improves computational efficiency. Finally, we validate the performance of the three proposed approaches through simulations, demonstrating their practical applicability for future URLLC services.
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Ultra-reliable low latency communication (URLLC) is an innovative service offered by fifth-generation (5G) wireless systems. URLLC enables various mission-critical applications by facilitating reliable and low-latency signal transmission to support extreme Quality of Service (QoS) requirements. Apart from reliability and latency, ensuring secure data transmission for URLLC has been a prominent issue for researchers in recent years. Using finite blocklength signals to achieve the stringent reliability and latency criteria in URLLC eliminates the possibility of using conventional complex cryptographic security enhancement techniques based on encoding and decoding of secret keys. Thus, the development of lightweight security mechanisms is of paramount importance for URLLC. Recently, Physical-Layer Security (PLS) techniques have emerged as a powerful alternative to the complex cryptography-based security approaches for facilitating secure URLLC by exploiting the randomness of the wireless channel. Therefore, in this survey, we present a comprehensive and in-depth review of the state-of-the-art PLS enhancements utilized to unleash secure URLLC while analyzing the impact of various system design parameters on its performance. Moreover, the survey incorporates a detailed overview of the recent advancements in ensuring secure URLLC using PLS in various mission-critical applications, and 5G URLLC enabling technologies like non-orthogonal multiple access (NOMA), multi-antenna systems, cooperative communication using unmanned aerial vehicles (UAV), and intelligent reflective surfaces (IRS). Apart from this, we briefly discuss the role of advanced Machine Learning (ML) techniques in designing robust and intelligent PLS schemes for URLLC service.
In the fast-evolving communication systems, we are currently in the 5 G phase and continuously progressing toward the 6th generation spectrum. Ultra-Reliable Low Latency Communication (URLLC) and Hyper-Reliable Low Latency Communication (HRLLC) are the cutting-edge services offered by 5G and 6G wireless systems, enabling more missioncritical applications by employing highly reliable and low latency signal transmission. Apart from applications emphasize reliability and low latency, this study focuses on a lightweight security mechanism known as Physical Layer Security (PLS), which is an essential requirement to enable secure data transmission in mission-critical applications. URLLC/HRLLC uses finite block length (FBL) signals to achieve stringent reliability and latency requirements, thereby eliminating the need for traditional key-based cryptographic techniques. Then the Channel State Information (CSI) value and signal block length, are correspondingly introduced. Therefore, this survey presents a comprehensive and detailed study on the PLS of URLLC/HRLLC in 5G and beyond communications. This paper mainly concentrates on the current enhancements in PLS for mission-critical applications and provides an in-depth review of finite block length-oriented and CSI-driven strategies employed in URLLC/HRLLC. This review emphasizes state-of-the-art robust and adaptive CSI-based security frameworks that address channel estimation errors. The Novel Idea of this study is to introduce a unified design oriented PLS frame work that integrates FBL communication theory and Practical CSI limitations in wireless networks Finally, the survey discusses several key challenges and identifies open research directions in joint FBL-CSI optimization, secure training signal design, and energy-efficient secrecy protocols for future 6 G wireless networks.
In this paper, we examine the physical layer security (PLS) in lossy untrusted relay networks, focusing on finite blocklength transmissions. In such networks, ensuring secure communication is particularly challenging due to the presence of untrusted relay nodes and the inherent limitations of short-packet transmissions. We propose the reliable-and-secure probability (RSP) as a performance metric to evaluate the likelihood that the destination node successfully recovers the transmitted message while untrusted relays experience an outage. Two basic network topologies are taken into consideration, which are the three-node one way network and the single-source multi-untrusted-relay network without direct source-to-destination link. By optimizing power allocation and relay positioning, the RSP can be significantly improved, even when decoding errors occur at the relays. The study demonstrates that lossy decode-and-forward relaying complicates secure communication but also presents opportunities for performance enhancement through careful resource management. Numerical simulations validate the effectiveness of the proposed optimization strategies in enhancing security, especially for applications in ultra-reliable low-latency communication and massive machine-type communication in 5G/6G networks. Future research will focus on deriving more precise closed-form expressions for RSP in finite blocklength settings and investigating machine learning-based approaches for real-time optimization of secure communications in dynamic wireless environments. This study contributes to the growing body of knowledge on PLS in modern wireless systems, offering insights for future advancements.
This paper considers the physical layer security (PLS) and covertness of the signal transmission in a multiple-input single-output downlink adopting ultra-high reliability and low latency communication (URLLC). In the considered system, Alice transmits confidential signals to Bob in the presence of a multi-antenna eavesdropper (Eve) and a multi-antenna watchful adversary (Willie). Although artificial noise (AN) is a common PLS technique for protecting the confidential signal from wiretapping, it may reduce the communication covertness due to the additional signal emission. For maximizing the achievable secrecy rate, we propose an AN-aided secure and covert communication strategy through optimizing the information carrying beamformer and AN jointly subject to the covertness constraint. To tackle the formulated non-convex design problem, we propose a branch-reduce-and-bound (BRB)-based algorithm to solve the considered problem globally. Simulation results validate its efficiency compared with a benchmark algorithm and unveil the importance of exploiting AN.
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.