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Trade Reliability for Security: Leakage-Failure Probability Minimization for Machine-Type Communications in URLLC

Yao Zhu, Xiaopeng Yuan, Yulin Hu, Rafael F. Schaefer, Anke Schmeink

2023IEEE Journal on Selected Areas in Communications27 citationsDOI

Abstract

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 by defining the leakage-failure probability, a metric that jointly characterizes both reliability and security performances for short-packet transmissions. We discover that the system performance can be enhanced, counter-intuitively, by 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.

Topics & Concepts

Computer scienceDecoding methodsNetwork packetReliability (semiconductor)Performance metricOptimization problemMathematical optimizationComputer networkAlgorithmPhysicsPower (physics)EconomicsQuantum mechanicsMathematicsManagementWireless Communication Security TechniquesIoT Networks and ProtocolsWireless Body Area Networks
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