在LoSD下通过联合主动和被动光束成型实现可重配置智能表面的最佳部署策略
Ke Zhao1, Zhiqun Song1,2, Jun Xiong3
1The 54th Research Institute of CETC, Shijiazhuang 050081, China.
Entropy (Basel, Switzerland)
|July 29, 2023
概括
本研究介绍了可重新配置的智能表面 (RIS) 在视线域 (LoSD) 中的最佳部署策略. 拟议的方法显著降低了传输功率,并提高了无线网络的能源效率.
科学领域:
- 无线通信网络是无线通信网络.
- 超材料和智能表面
- 优化理论 优化理论
背景情况:
- 可重新配置的智能表面 (RIS) 提供了一种革命性的方法来提高无线系统中的频谱效率 (SE) 和能源效率 (EE).
- 传统的RIS部署策略可能无法充分利用其在优化无线网络性能方面的潜力.
研究的目的:
- 调查在视线域 (LoSD) 中对RIS的最佳部署策略,考虑实际的部署场景.
- 通过共同优化RIS束形和相位移,同时满足服务质量 (QoS) 约束来最大限度地降低传输功率.
主要方法:
- 该研究制定了一个优化问题,以尽量减少在QoS约束 (SNR) 下的传输功率.
- 提出了一种高效的交替优化 (AO) 算法来解决非凸的优化问题.
- 建议的LoSD部署与传统的终端部署策略进行了比较.
主要成果:
- 拟议的LoSD部署策略与传统方法相比,大大降低了发射功率.
- 优化有效地利用视线 (LoS) 链接来实现单个RIS中继.
- 分析了反射元件数量对系统能效 (EE) 的影响.
结论:
- 对RIS的最佳LoSD部署策略有效地减少了发射功率并提高了能源效率.
- 提出的交替优化算法为复杂的RIS部署问题提供了有效的解决方案.
- 进一步的分析揭示了RIS元素数量与整体系统EE之间的关系.
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