Leveraging RIS in Consumer-Centric 6G Networks: Efficient Resource Allocation in RSMA-Based SWIPT Systems Under Hardware Impairments

Asif, Muhammad; Bao, Xu; Ranjha, Ali; Ahmed, Manzoor; KHAN, Wali Ullah; Rani, Shalli; Li, Xingwang

doi:10.1109/tce.2024.3512939

Article (Scientific journals)

Leveraging RIS in Consumer-Centric 6G Networks: Efficient Resource Allocation in RSMA-Based SWIPT Systems Under Hardware Impairments

Asif, Muhammad; Bao, Xu; Ranjha, Ali et al.

2024 • In IEEE Transactions on Consumer Electronics

Peer Reviewed verified by ORBi Dataset

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https://hdl.handle.net/10993/62998

DOI
10.1109/tce.2024.3512939

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Keywords :

Consumer-centric sixth-generation (6G) networks; industry 5.0; reconfigurable intelligent surface (RIS); Resource optimization; Spectral efficiency

Abstract :

[en] This manuscript proposes an efficient resource management strategy for a rate-splitting multiple access (RSMA) based simultaneous wireless information and power transfer (SWIPT) system by leveraging reconfigurable intelligent surface (RIS) in consumer-centric sixth-generation (6G) networks for industry 5.0, under residual hardware impairments (RHIs) both at the transmitter and receiver nodes. Specifically, we aim to maximize the sum-rate of a RIS-assisted RSMA-based SWIPT system by incorporating a practical non-linear energy-harvesting model, while adhering to the quality-of-service (QoS), powerbudget, power-splitting ratios, energy-conservation, and energyharvesting constraints of the system. Moreover, the presented optimization technique addresses the highly non-convex problem in four distinct steps. Firstly, the power-allocation for both common and private messages of RSMA users is determined by converting a significantly non-convex power-allocation problem into a convex one by exploiting the successive-convex approximation (SCA) technique. Secondly, power-splitting ratios for RSMA users are computed by using the interior-point method facilitated by the Mosek-enabled toolbox in CVX. Thirdly, it computes transmit passive beamforming of a transmitter equipped with a transmissive-RIS (T-RIS), by exploiting SCA and semidefinite relaxation (SDR) techniques. Finally, passive beamforming vectors for the transmission and reflection regions of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) node are determined by converting a nonconvex problem into a standard SDP problem using SCA, SDR, and Gaussian randomization techniques. Additionally, numerical simulation results affirm the effectiveness of the proposed optimization strategy, indicating superior performance against benchmark techniques and fast convergence within a reasonable number of iterations.

Disciplines :

Computer science

Author, co-author :

Asif, Muhammad ; School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China

Bao, Xu ; School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China

Ranjha, Ali ; École de Technologie Supérieure, Montréal, Quebec, Canada

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

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

Rani, Shalli ; Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

Li, Xingwang ; School of Physics and Electronic Information Engineering, Henan Polytechnic University, China

External co-authors :

yes

Language :

English

Title :

Leveraging RIS in Consumer-Centric 6G Networks: Efficient Resource Allocation in RSMA-Based SWIPT Systems Under Hardware Impairments

Original title :

[en] Leveraging RIS in Consumer-Centric 6G Networks: Efficient Resource Allocation in RSMA-Based SWIPT Systems Under Hardware Impairments

Publication date :

09 December 2024

Journal title :

IEEE Transactions on Consumer Electronics

ISSN :

0098-3063

Publisher :

Institute of Electrical and Electronics Engineers (IEEE)

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Security, Reliability and Trust

Additional URL :

http://xplorestaging.ieee.org/ielx8/30/8306365/10783002.pdf?arnumber=10783002

Funders :

Project 333 of Jiangsu Province
Jiangsu Provincial Excellent Postdoctoral Program

Data Set :

https://ieeexplore-ieee-org.proxy.bnl.lu/document/10783002

Available on ORBilu :

since 11 December 2024

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