Rethinking Secure Resource Allocation: When NOMA Meets Finite Blocklength

Junteng Yao,Ming Jin,Tuo Wu,Cunhua Pan,M. Elkashlan,Chau Yuen,G. Karagiannidis,O. Dobre

Published 2025 in IEEE Transactions on Information Forensics and Security

ABSTRACT

The allocation of secure resources in non-orthogonal multiple access (NOMA) systems has gained significant recognition as a vital research focus in the realm of the Internet of Things (IoT). Previous studies have overlooked the security challenges associated with integrating NOMA with finite blocklength (FBL) transmission. Therefore, this paper examines a secure downlink NOMA system utilizing FBL transmission, which includes a base station (BS), a near user, a far user, and an external eavesdropper. We develop an optimization problem with the objective of maximizing the near user’s effective secrecy throughput, considering the secrecy rates, decoding error probabilities (DEPs), and effective secrecy throughput for both users. Notably, by meticulously defining the DEPs of the users as optimization variables, the monotonicity and concavity of these DEPs in relation to the blocklength, transmission power, and transmission rate can be established effectively. The problem is divided into two sub-problems focusing on the essential conditions for the secrecy rate of the near user, especially in scenarios where successive interference cancellation (SIC) is unsuccessful. These sub-problems are addressed using the block coordinate descent (BCD) algorithm and an exact penalty method. For comparison, the BCD algorithm is also applied to solve the optimization problem using the orthogonal multiple access (OMA) scheme. Numerical simulations confirm the effectiveness of our proposed approaches in improving secure resource allocation when NOMA is combined with FBL transmission.

PUBLICATION RECORD

  • Publication year

    2025

  • Venue

    IEEE Transactions on Information Forensics and Security

  • Publication date

    Unknown publication date

  • Fields of study

    Computer Science, Engineering

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    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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