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Ultra-reliable low latency communication (URLLC) is one of three primary usecases in the fifth-generation (5G) networks, and its research is still in itsinfancy due to its stringent and conflicting requirements in terms of extremelyhigh reliability and low latency. To reduce latency, the channel blocklengthfor packet transmission is finite, which incurs transmission rate degradationand higher decoding error probability. In this case, conventional resourceallocation based on Shannon capacity achieved with infinite blocklength codesis not optimal. Security is another critical issue in mission-critical internetof things (IoT) communications, and physical-layer security is a promisingtechnique that can ensure the confidentiality for wireless communications as noadditional channel uses are needed for the key exchange as in the conventionalupper-layer cryptography method. This paper is the first work to study theresource allocation for a secure mission-critical IoT communication system withURLLC. Specifically, we adopt the security capacity formula under finiteblocklength and consider two optimization problems: weighted throughputmaximization problem and total transmit power minimization problem. Eachoptimization problem is non-convex and challenging to solve, and we developefficient methods to solve each optimization problem. Simulation resultsconfirm the fast convergence speed of our proposed algorithm and demonstratethe performance advantages over the existing benchmark algorithms.

Resource Allocation for Secure URLLC in Mission-Critical IoT Scenario