在不完善的CSI下,用于Active-RIS-Aided无细胞大规模MIMO网络的束形设计
Qiang Ma1, Hao Fang1, Longxiang Yang1
1School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.
Sensors (Basel, Switzerland)
|February 27, 2026
概括
本研究介绍了一种针对主动重配置智能表面 (RISs) 辅助无细胞 (CF) 大规模MIMO网络的优化算法. 拟议的方法在不完美的通道条件下提高了网络容量和效率.
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:
- 6G网络的发展需要提高容量和降低功耗.
- 可重新配置的智能表面 (RIS) 和无细胞 (CF) 大规模MIMO是未来无线系统的关键启用技术.
- 在不完美的通道状态信息 (CSI) 下优化这些系统是一个重大挑战.
研究的目的:
- 调查一个具有不完美的CSI的活跃RIS辅助CF大规模MIMO系统.
- 为了解决非凸的最大-最小可实现率问题.
- 提出一个高效的两步优化算法,以提高系统性能.
主要方法:
- 不凸问题的分解成两个子问题.
- 交替优化接入点 (AP) 传输光束成形和RIS反射预编码.
- 在不完美的通道状态信息 (CSI) 下进行分析.
主要成果:
- 提出的两步优化算法有效地解决了最大-最小可实现率问题.
- 与现有方法相比,模拟结果显示了显著的性能增长.
- 该计划证明了在主动RIS辅助CF大规模MIMO系统中的优势.
结论:
- 开发的优化策略对于主动RIS辅助CF大规模MIMO系统是有效的.
- 该方法为提高网络容量和效率提供了可行的解决方案.
- 未来的研究可以在此基础上构建先进的无线网络设计框架.
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