{"title":"A heterogeneous RIS-assisted all-optical ocean-air integrated network: Channel modelling and performance analysis","authors":"Chao Chen, Kun Li, Jianhua Ji, Hongwei Zhao","doi":"10.1016/j.phycom.2025.102856","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces a unified framework for an integrated underwater-to-air multihop optical network that combines reconfigurable intelligent surface (RIS)-assisted underwater wireless optical communication (UWOC) with differential technology (DT) and modulating retroreflector (MRR)-based free space optical (FSO) systems. The system utilizes unmanned aerial vehicles (UAVs) as mobile aerial base stations, transmitting signals from automatic underwater vehicles (AUVs) to destination UAVs through an offshore micro-buoy relay. The paper models pointing errors with RIS and modifies the corresponding probability density function. It adopts the decode-and-forward (DF) relaying protocols to derive expressions for outage probability (OP), average bit error rate (ABER), and average channel capacity (ACC). The analysis considers factors like bubble levels, temperature and salinity gradients, detection technology, pointing errors, and RIS deployment strategy. Monte Carlo simulation validates the analytical results. The deployment of RIS is demonstrated to mitigate underwater fading impairments, and DT is shown to improve the performance of both FSO and UWOC subsystems. In addition, we provide interesting deployment and engineering insights based on results. This work contributes to the design and research of high-bandwidth integrated space-air-ground-ocean Internet of Things (IoT) networks for 6 G applications.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"73 ","pages":"Article 102856"},"PeriodicalIF":2.2000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874490725002599","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces a unified framework for an integrated underwater-to-air multihop optical network that combines reconfigurable intelligent surface (RIS)-assisted underwater wireless optical communication (UWOC) with differential technology (DT) and modulating retroreflector (MRR)-based free space optical (FSO) systems. The system utilizes unmanned aerial vehicles (UAVs) as mobile aerial base stations, transmitting signals from automatic underwater vehicles (AUVs) to destination UAVs through an offshore micro-buoy relay. The paper models pointing errors with RIS and modifies the corresponding probability density function. It adopts the decode-and-forward (DF) relaying protocols to derive expressions for outage probability (OP), average bit error rate (ABER), and average channel capacity (ACC). The analysis considers factors like bubble levels, temperature and salinity gradients, detection technology, pointing errors, and RIS deployment strategy. Monte Carlo simulation validates the analytical results. The deployment of RIS is demonstrated to mitigate underwater fading impairments, and DT is shown to improve the performance of both FSO and UWOC subsystems. In addition, we provide interesting deployment and engineering insights based on results. This work contributes to the design and research of high-bandwidth integrated space-air-ground-ocean Internet of Things (IoT) networks for 6 G applications.
期刊介绍:
PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published.
Topics of interest include but are not limited to:
Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.