Optical RIS-Assisted SLIPT Systems With Rate-Splitting Multiple Access

被引:0
作者
Javadi, Sepideh [1 ]
Faramarzi, Sajad [2 ]
Zeinali, Farshad [1 ]
Zarini, Hosein [3 ]
Mili, Mohammad Robat [1 ]
Diamantoulakis, Panagiotis D. [4 ]
Jorswieck, Eduard A. [5 ]
Karagiannidis, George K.
机构
[1] Pasargad Inst Adv Innovat Solut, Tehran 1991633361, Iran
[2] Iran Univ Sci & Technol, Sch Elect Engn, Tehran 1311416846, Iran
[3] Sharif Univ Technol, Dept Comp Engn, Tehran 113658639, Iran
[4] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Thessaloniki 54124, Greece
[5] Tech Univ Carolo Wilhelmina Braunschweig, Inst Commun Technol, D-38106 Braunschweig, Germany
关键词
NOMA; OFDM; Optical receivers; Optical transmitters; Optimization; Wireless communication; Resource management; Internet of Things; Interference; Light emitting diode (LED); meta learning; optical reflecting intelligent surface (ORIS); optical wireless communication (OWC); proximal policy optimization (PPO); rate splitting multiple access (RSMA); simultaneous lightweight information and power transfer (SLIPT); VISIBLE-LIGHT COMMUNICATION; ENERGY; MAXIMIZATION; INFORMATION; NETWORKS; DESIGN; RSMA; NOMA;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Optical wireless communication (OWC) systems with multiple light-emitting diodes (LEDs) have recently been benefited from the assistance of optical reflecting intelligent surface (ORIS) to support energy-limited devices via simultaneous lightweight information and power transfer (SLIPT). This article studies the application of rate splitting multiple access (RSMA) for effective interference management and enhancing the data rate of these systems. Regarding the considerable bandwidth of the OWC band and also considerable energy consumption of the multi-LED transmitter, we formulate an energy efficiency (EE) maximization problem to jointly optimize the system variables, including transmit beamforming, LED selection, rate adaptation and ORIS element association, while adhering to the system requirements. Accordingly, we propose a dynamic resource allocation mechanism, leveraging proximal policy optimization (PPO) to accommodate system dynamism and optimize its variables. Concerning the frequent obstruction of OWC Line-of-Sight (LoS) links and consequently swift system reconfiguration, we improve the adaptability and predictability of the PPO agent by integrating Meta-learning technique. Simulations reveal that the proposed Meta-PPO algorithm has superior performance compared to the PPO method in the presence of ORIS with 76% gain. Furthermore, employing an ORIS in the proposed system model improves the performance by 51% compared to a scenario without ORIS.
引用
收藏
页码:9872 / 9888
页数:17
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