关于活跃的RIS增强的NOMA系统与频谱共享机制的性能
Minh Tran1, Minh Bui Vu2, Sang Quang Nguyen3
1Advanced Intelligent Technology Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
PloS one
|November 25, 2025
概括
一个主动可重新配置的智能表面 (ARIS) 在频谱共享中增强非对角多重接入 (NOMA) 网络. ARIS的性能优于被动RIS和OMA,提高了可靠性和频谱效率.
科学领域:
- 无线通信网络是无线通信网络.
- 信号处理 信号处理
- 信息理论是信息理论.
背景情况:
- 认知频谱共享使得频谱的有效利用成为可能.
- 非直角多重接入 (NOMA) 提高了光谱效率,但面临干扰挑战.
- 可重新配置的智能表面 (RIS) 可以优化无线环境,但活跃的RIS提供了增强的功能.
研究的目的:
- 在认知频谱共享场景中,分析下链NOMA网络在主动RIS的协助下的性能.
- 将拟议的ARIS辅助NOMA架构与被动RIS (PRIS) 和直角多重访问 (OMA) 进行比较.
- 为了获得性能指标并优化电力分配以提高网络效率.
主要方法:
- 在Nakagami-m fading下,用于中断概率 (OP),吞吐量和能效 (EE) 的封闭式表达式的导出.
- 对OP进行异面分析,以确定可实现的多样性顺序.
- 制定和解决NOMA功率分配系数的优化问题,以最大限度地减少OP.
- 蒙特卡洛模拟用于验证.
主要成果:
- 与PRIS和OMA相比,ARIS显著减轻了用户间的干扰,并克服了倍数色.
- 准确的OP,吞吐量和EE的表达式得到了推导和验证.
- 非对称分析揭示了多样性的顺序.
- 优化的NOMA功率分配成功地将OP降到最低.
结论:
- 拟议的ARIS辅助NOMA架构在OP,吞吐量和EE方面表现出卓越的性能.
- ARIS有可能在下一代频谱共享NOMA网络中显著提高频谱效率,可靠性和覆盖率.
- 在复杂的无线环境中,主动RIS与被动RIS相比具有明显的优势.
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