How to provide information security while fulfilling ultra reliability and low-latency requirements is one of the major concerns for enabling the next generation of ultra-reliable and low-latency communications service (xURLLC), specially in machine-type communications. In this work, we investigate the reliability-security tradeoff via defining the leakage-failure probability, which is a metric that jointly characterizes both reliability and security performances for short-packet transmissions. We discover that the system performance can be enhanced by counter-intuitively allocating fewer resources for the transmission with finite blocklength (FBL) codes. In order to solve the corresponding optimization problem for the joint resource allocation, we propose an optimization framework, that leverages lower-bounded approximations for the decoding error probability in the FBL regime. We characterize the convexity of the reformulated problem and establish an efficient iterative searching method, the convergence of which is guaranteed. To show the extendability of the framework, we further discuss the blocklength allocation schemes with practical requirements of reliable-secure performance, as well as the transmissions with the statistical channel state information (CSI). Numerical results verify the accuracy of the proposed approach and demonstrate the reliability-security tradeoff under various setups.
翻译:如何在满足极端可靠性和低延迟性要求的同时提供信息安全,是使下一代超可靠和低延迟通信服务(xURLLLC),特别是机器型通信能够产生下一代超可靠和低延迟通信服务(xURLLLC)的主要关注问题之一。在这项工作中,我们通过界定渗漏-漏概率来调查可靠性-安全权衡,这是将短包装传输的可靠性和安全性能共同定性为短包装传输的可靠性和安全性能的一种衡量标准。我们发现,可以通过反直觉地分配较少的资源,用有限轮廓值(FBL)代码传输来提高系统性能。为了解决联合资源分配的相应优化问题,我们提议了一个优化框架,利用较低限制的近似值来利用FBL系统中解码错误概率。我们描述重订的问题的共性,并建立一个高效的迭接搜索方法。为了显示框架的可扩展性,我们进一步讨论轮廓分配计划与可靠安全性性能的实际要求以及传输与统计频道国家信息(CSI)之下的统计安全性,我们进一步讨论。</s>