A heterogeneous RIS-assisted all-optical ocean-air integrated network: Channel modelling and performance analysis

IF 2.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Chao Chen, Kun Li, Jianhua Ji, Hongwei Zhao
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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.
异构ris辅助全光海空集成网络:信道建模和性能分析
本文介绍了一种将可重构智能水面(RIS)辅助水下无线光通信(UWOC)与差分技术(DT)和基于调制后向反射器(MRR)的自由空间光(FSO)系统相结合的水下多跳集成光网络的统一框架。该系统利用无人驾驶飞行器(uav)作为移动空中基站,通过海上微浮标中继从自动水下航行器(auv)向目标无人机传输信号。本文采用RIS模型对指向误差进行建模,并对相应的概率密度函数进行修正。采用DF(译码转发)中继协议推导出停机概率(OP)、平均误码率(ABER)和平均信道容量(ACC)的表达式。该分析考虑了气泡水平、温度和盐度梯度、探测技术、指向误差和RIS部署策略等因素。蒙特卡罗仿真验证了分析结果。RIS的部署被证明可以减轻水下衰落损伤,DT被证明可以提高FSO和UWOC子系统的性能。此外,我们还根据结果提供有趣的部署和工程见解。这项工作有助于设计和研究面向6g应用的高带宽集成空间-空气-地面-海洋物联网(IoT)网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical Communication
Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS
CiteScore
5.00
自引率
9.10%
发文量
212
审稿时长
55 days
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.
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