在AUV辅助的基于NOMA的垂直UWOC系统的性能分析中,使用了级联的WGG流模型
概括
本研究详细介绍了一种新的垂直水下无线光通信 (UWOC) 系统,使用自主水下车辆 (AUV) 和非直角多重接入 (NOMA). 它引入了一个新的色模型,并为改进的水下通信系统推出了性能指标.
科学领域:
- 水下无线光学通信 (UWOC) 是指水下无线光学通信.
- 非对角的多重访问 (NOMA)
- 自动水下车辆 (AUV) 是一种自动驾驶的水下车辆.
背景情况:
- 水下通信面临来自海洋动荡,吸收和散射的挑战.
- 现有的模型可能无法完全捕捉到水下环境的复杂,多层次的性质.
- 垂直UWOC链路对于基于AUV的数据传输至关重要.
研究的目的:
- 调查基于NOMA的垂直UWOC系统,使用AUV进行下行链接.
- 为垂直UWOC链接开发一个全面的统计色模型.
- 分析系统性能和各种参数的影响.
主要方法:
- 基于韦布尔通用马 (WGG) 分布的N层复合级联统计色模型的推导.
- 使用福克斯的H函数计算中断概率的分析和异常表达式.
- 由蒙特卡洛模拟验证的覆盖概率和平均可实现率的推导.
主要成果:
- 该研究在复杂的UWOC环境中为关键绩效指标提供了新的分析表达式.
- 性能受到诸如层数,水类型和指向错误等因素的显著影响.
- 提出的模型准确地预测了各种条件下的系统行为.
结论:
- 开发的色模型和性能分析为垂直UWOC系统提供了强大的框架.
- 这些发现为基于AUV的水下通信网络的设计和优化提供了宝贵的见解.
- 这项研究提升了NOMA集成的UWOC的功能,以增强水下数据传输.
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