## 1 Introduction
The authors elucidated the principal limitations of conventional methods while emphasizing the potential advantages of RS in terms of spectral and energy efficiencies compared to traditional techniques. The initial investigations of RS in a multiuser MISO system [15; 16] aimed to maximize the minimum rate and maximize the sum rate. The solutions to these optimization problems were based on the weighted minimum mean square error (WMMSE) method and the alternate optimization (AO) algorithm for optimizing the precoding vectors and common rate variables. These studies reported that the RS framework consistently outperformed conventional methods, as evidenced by a comprehensive analysis of data rates and complexity in scenarios involving imperfect channel state information at the transmitter (CSIT). In [17], an extension analysis was conducted on massive MIMO systems to maximize the minimum achievable rate of the common message. A hierarchical rate-splitting approach was proposed to address the challenges posed by the extensive array of antennas at the transmitter. The simulation results revealed the superior performance of RS over conventional broadcasting methods, considering perfect and imperfect CSIT. The RSMA method was initially introduced for downlink multiuser MISO systems [3]. The authors highlighted the generality of RSMA compared to SDMA and NOMA. They also addressed the maximization of the weighted sum rate while considering the minimum rate constraints and power limitations. The validity of the authors' assertions was confirmed by the simulation results, emphasizing the superior performance of RSMA across various scenarios with different network loads and numbers of users. An exhaustive analytical analysis was conducted for a two-user case in [5], demonstrating the generality of RSMA by showcasing how it encompasses SDMA, NOMA, and orthogonal multiple access (OMA) as particular cases. Furthermore, the energy efficiency maximization and sum-rate maximization in multiuser MISO systems examined using RS emphasized the outstanding performance of RSMA, demonstrating its superior spectral and energy efficiency compared to SDMA and NOMA [18]. An initial study of RSMA and SWIPT was conducted to maximize the sum rate of users [19], considering two types of users: one for decoding information only and the other for harvesting energy only. A previous study [20] investigated the performance of RSMA with SWIPT in multiuser MISO systems, considering that users can decode information and harvest energy based on a PS factor. Furthermore, the scenario of RSMA with SWIPT when an IRS is deployed in the system was investigated in [21]. These studies reported significant improvements in performance provided by RSMA compared to traditional SDMA and NOMA methods. On the other hand, the aforementioned studies primarily focused on users close to the BS, driven by the EH requirements imposed by the optimization problem. This limitation becomes evident in real-world deployments, where users may be located far from the BS, posing challenges in meeting the EH requirements. Therefore, this paper investigated the deployment of a PB with RSMA as an efficient approach to address the previously mentioned challenge. [PERSON] et al. [22] introduced a system involving PBs for wireless power transfer (WPT). These PBs can wirelessly charge receivers and be strategically placed alongside femtocell base stations (BSs) to provide short-range SWIPT to wireless devices. A PB-assisted wireless-powered communication network (WPCN) was proposed in [23], consisting of a single-antenna PB and several single-antenna access points (APs). The PB provides RF energy to the APs, which transmit their information using the energy harvested from the PB. An extension of the PB-assisted WPCN, considering multi-antenna PBs, was reported in [24] to optimize the energy beamformer vector and maximize the spectrum efficiency.