Securing NOMA 6G Communications Leveraging Intelligent Omni-Surfaces Under Residual Hardware Impairments

Intelligent omni-surfaces (IOSs); Internet of Things (IoT); nonorthogonal multiple access (NOMA); physical-layer security; residual hardware impairments (RHIs); Array signal processing; Hardware; Intelligent omni-surface; Multiple access; Non-orthogonal; Non-orthogonal multiple access; Optimisations; Physical layer security; Quality-of-service; Residual hardware impairment; Security; Wireless communications; Signal Processing; Information Systems; Hardware and Architecture; Computer Science Applications; Computer Networks and Communications; NOMA; Optimization; Wireless communication; Quality of service

Abstract :

[en] In this manuscript, we introduce an efficient resource allocation strategy to enhance the security of an intelligent omni-surface (IOS) assisted secure Internet of Things (IoT) enabled nonorthogonal multiple access (NOMA) network under residual hardware impairments (RHIs) resulting from imperfect hardware design. In particular, the goal is to maximize the sum secrecy rate of the considered multi-cluster based secure NOMA system assisted by an IOS node. This is achieved by optimizing both the active beamforming vectors of NOMA users within the transmission and reflection regions of the system, and the transmission and reflection coefficients of the IOS node, while adhering to Quality-of-Service, successive interference cancellation, power budget, and energy conservation constraints. Moreover, the presented alternating optimization framework tackles the significantly nonconvex optimization problem through a two-stage process: 1) the active beamforming vectors are obtained using successive convex approximation (SCA) and second-order conic programming (SOCP) techniques, and 2) based on the determined active beamforming vectors, the transmission and reflection coefficients of the IOS node are computed utilizing SCA and semi-definite relaxation (SDR) techniques, where rank-1 solution is achieved through Gaussian randomization method. Ultimately, the numerical simulations validate the efficacy of the suggested method over competing benchmarks, in terms of sum secrecy rate, showcasing its superiority in achieving fast convergence within a limited number of iterations.

Disciplines :

Computer science

Author, co-author :

Asif, Muhammad ; The School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China ; The Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace, Zhenjiang, China

Bao, Xu ; The School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China ; The Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace, Zhenjiang, China

Ihsan, Asim ; The Department of Engineering, University of Cambridge, Cambridge, United Kingdom

KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Ahmed, Manzoor ; The School of Computer and Information Science, The Institute for AI Industrial Technology Research, Hubei Engineering University, Xiaogan, China

Li, Xingwang ; The School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China ; The National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

External co-authors :

yes

Language :

English

Title :

Securing NOMA 6G Communications Leveraging Intelligent Omni-Surfaces Under Residual Hardware Impairments

Publication date :

2024

Journal title :

IEEE Internet of Things Journal

eISSN :

2327-4662

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

Issue :

Pages :

25326 - 25336

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Security, Reliability and Trust

Additional URL :

http://xplorestaging.ieee.org/ielx7/6488907/10589449/10516677.pdf?arnumber=10516677

Funders :

Six Talent Peak High Level Talent Plan Projects of Jiangsu Province
Project 333 of Jiangsu Province

Data Set :

https://ieeexplore-ieee-org.proxy.bnl.lu/document/10516677

Available on ORBilu :

since 11 December 2024

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