Secure RIS-Aided FD NOMA Communications for Hardware Impaired IoT Networks
As the proliferation of Internet of Things (IoT) devices accelerates, next-generation wireless networks face unprecedented demands for secure, efficient, and scalable communication frameworks. This paper investigates the integration of non-orthogonal multiple access (NOMA) with reconfigurable intelligent surfaces (RIS) and full-duplex (FD) operations to address these challenges while mitigating the adverse effects of residual hardware impairments (HWI) that cause signal distortion. The proposed RIS-aided FD-NOMA system is designed to enhance resilience and secrecy in IoT communication networks, optimizing the secrecy rate while adhering to power constraints for active beamforming at the base node (BN) and unit-modulus requirements for passive beamforming via RIS. Employing an alternate optimization (AO) framework, the complex joint optimization problem is divided into tractable subproblems solved through generalized convex approximations to achieve near-optimal solutions. Numerical results validate the superiority of the proposed model, demonstrating substantial performance improvements over conventional IoT systems without RIS support or with half-duplex NOMA protocols. The findings underscore the transformative potential of RIS-aided FD-NOMA systems in securing IoT networks against hardware imperfections while meeting their stringent connectivity and security demands.
Authors
- Raviteja Allu (ORCID: https://orcid.org/0000-0002-3871-678X)
- Mayur Katwe (ORCID: https://orcid.org/0000-0003-1548-3052)
- Sudip Biswas (ORCID: https://orcid.org/0000-0002-3017-3864)
- Meng‐Lin Ku (ORCID: https://orcid.org/0000-0002-2777-9355)
- Keshav Singh (ORCID: https://orcid.org/0000-0001-9028-4518)
- Jibril Abdi Mead
Institutions
- National Sun Yat-sen University (TW)
- Trinity College Dublin (IE)
- National Central University (TW)
- National Institute of Technology Raipur (IN)
- Indian Institute of Information Technology Guwahati (IN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1109/jiot.2025.3566504
- Citations
- 2
- Primary Topic
- Advanced Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.46