在多星RIS辅助的C-HRSMA中,针对能源效率和光谱效率权衡的强大的光束成型设计
Shiming Teng1, Xinwei Lin2, Yafeng Wang1
1The Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
这项研究通过使用在不完美的通道条件下具有认知层次速度分割多重访问 (C-HRSMA) 的同时发射和反射可重新配置的智能表面 (STAR-RIS) 来增强无线通信. 拟议的方法提高了光谱效率和能源效率.
科学领域:
- 无线通信无线通信
- 信号处理 信号处理
- 优化理论 优化理论
背景情况:
- 认知层次速度分割多重访问 (C-HRSMA) 系统由于干扰而面临性能限制,特别是在不完美的通道状态信息 (ICSI) 下.
- 可重新配置的智能表面 (RIS) 为无线环境操纵提供了一个有希望的解决方案,但它们与先进的多重访问方案的集成需要精心设计.
研究的目的:
- 研究一个同时发射和反射的可重新配置的智能表面 (STAR-RIS) 辅助的认知层次速度分割多重访问 (C-HRSMA) 系统的性能提升.
- 为了应对不完善的通道状态信息 (ICSI) 带来的挑战,并优化系统性能.
主要方法:
- 制定一个非凸的优化问题,涉及STAR-RIS相位移矩阵,基站光束形成向量和常见速率分配向量.
- 应用交替优化 (AO) 技术来解问题.
- 使用S程序和连续凸近似 (SCA) 来解决子问题.
主要成果:
- 通过利用STAR-RIS的功能,有效地减轻C-HRSMA内部集团间的共同流干扰.
- 通过优化资源配置实现更高的频谱效率 (SE).
- 与基准算法相比,SE和能源效率 (EE) 的表现明显优越.
结论:
- 拟议的STAR-RIS辅助的C-HRSMA系统有效地提高了ICSI下的光谱和能源效率.
- 开发的交替优化方法为先进的无线系统中复杂的非凸优化问题提供了可行的解决方案.
- 这项工作在智能反射面辅助无线网络设计方面取得了重大进展.
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