[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 :
Sciences informatiques
Auteur, co-auteur :
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
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Leveraging RIS in Consumer-Centric 6G Networks: Efficient Resource Allocation in RSMA-Based SWIPT Systems Under Hardware Impairments
Titre original :
[en] Leveraging RIS in Consumer-Centric 6G Networks: Efficient Resource Allocation in RSMA-Based SWIPT Systems Under Hardware Impairments
Date de publication/diffusion :
09 décembre 2024
Titre du périodique :
IEEE Transactions on Consumer Electronics
ISSN :
0098-3063
Maison d'édition :
Institute of Electrical and Electronics Engineers (IEEE)
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