在继电辅助多用户多输入多输出系统中的混合结构认知无线电混合宽带毫米波收发器的光谱效率最大化
Hafiz Muhammad Tahir Mustafa1,2, Jung-In Baik1,2, Hyoung-Kyu Song1,2
1Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea.
Sensors (Basel, Switzerland)
|June 27, 2024
概括
本研究引入了认知无线电网络 (CRN) 方法,用于在毫米波系统中进行混合宽带预编码,以提高光谱效率. 提出的方法有效地最大限度地提高了效率,同时在多用户MIMO设置中管理干扰.
科学领域:
- 无线通信无线通信
- 信号处理 信号处理
- 信息理论 信息理论
背景情况:
- 毫米波 (mmWave) 系统提供高带宽,但在多用户,多输入多输出 (MIMO) 环境中面临挑战.
- 混合波束成型对于管理毫米波系统的复杂性和功耗至关重要.
- 认知无线电网络 (CRN) 能够实现动态频谱访问和高效的资源利用.
研究的目的:
- 提出一种基于认知无线电网络 (CRN) 的新型混合宽带预编码方案.
- 在毫米波 (mmWave) 频谱中运行的中继辅助多用户 (MU) 多输入多输出 (MIMO) 系统中最大限度地提高光谱效率.
- 为了解决联合混合预编码设计中固有的NP-hard和非凸的优化问题.
主要方法:
- 将复杂的优化问题分解成可管理的子问题.
- 脱设计方法应用于每个子问题.
- 只有相位的光束成形,以最大限度地提高光谱效率.
- 设计用于控制低于设置值的干扰的数字基带处理.
- 考虑混合和完全连接的混合光束形成架构,使用解码和转发 (DF) 继电器.
主要成果:
- 拟议的混合预编码技术有效地最大化了毫米波MU-MIMO系统中的光谱效率.
- 仅相束成型成功提高了光谱效率,而数字组件则管理干扰.
- 模拟证明了该技术在各种系统参数和通道状态信息 (CSI) 准确度水平上的有效性.
- 与其他配置和基准相比,混合混合动力架构表现出优越的能源效率.
结论:
- 基于CRN的混合宽带预编码方案为提高毫米波系统的光谱效率提供了可行的解决方案.
- 解设计方法简化了复杂的优化问题,产生了有效的单相和数字光束成形解决方案.
- 混合混合架构为未来的无线网络提供了性能和能源效率之间的有希望的权衡.
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