通过大型智能表面增强无线通信系统:LIS辅助NOMA网络的性能分析
Kalapraveen Bagadi1, Visalakshi Annepu2, C Dhanamjayulu3
1School of Electronics Engineering, VIT-AP University, Amaravati, 522 237, India. kpbagadi@gmail.com.
Scientific reports
|July 22, 2024
概括
大型智能表面 (LIS) 通过提高信号质量和覆盖率,显著提升非对角多重接入 (NOMA) 网络. 这种LIS辅助的NOMA系统的性能优于传统的NOMA,提高了多样性,降低了错误概率.
科学领域:
- 无线通信系统无线通信系统
- 信号处理 信号处理
- 信息理论 信息理论
背景情况:
- 非直角多重接入 (NOMA) 提高了频谱效率,但在覆盖范围和信号质量方面面临挑战.
- 大型智能表面 (LIS) 提供了一种通过操纵电磁波来控制无线环境的新方法.
研究的目的:
- 分析与LIS集成的NOMA网络的性能.
- 评估LIS辅助NOMA的效率和优势,与传统的NOMA系统相比.
主要方法:
- 提出了一个下链系统模型,其中有一个基站 (BS) 和LIS服务于多个用户.
- 评估了包括多样性收益,错误概率和对错误概率 (PEP) 在内的性能指标.
- 用LIS辅助的NOMA网络与没有LIS的传统NOMA系统进行了比较.
主要成果:
- 信息系统集成对系统性能产生了显著的积极影响.
- 关键绩效指标,如多样性增长,错误概率和PEP显示显著改善.
- 与传统的NOMA相比,LIS辅助的NOMA网络表现出更高的性能.
结论:
- LIS是一种高效的技术,可以提高NOMA网络的性能.
- 拟议的LIS辅助NOMA系统在现有NOMA解决方案上提供了实质性的优势.
- 结果为先进的无线通信系统的未来研究和开发提供了宝贵的见解.
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