联合电力分配和混合光束成形用于无电池毫米波多输入多输出与统计频道状态信息的统计频道
Jiawei Bai1, Guangying Wang2, Ming Wang3
1College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
本研究介绍了无细胞毫米波 (mmWave) MIMO系统的资源分配方案,解决了实际限制. 拟议的方法优化了功率和混合光束形成,以提高网络吞吐量和用户体验.
科学领域:
- 无线通信系统无线通信系统
- 信号处理 信号处理
- 信息理论是信息理论.
背景情况:
- 无细胞毫米波 (mmWave) MIMO提供了显著的吞吐量增长,但面临着阴影色的挑战.
- 现有的研究往往忽视了以用户为中心的方面,以及毫米波MIMO系统中的前航运能力限制.
- 实际部署需要有效地分配资源,考虑到这些限制.
研究的目的:
- 开发一个资源分配方案,用于上链以用户为中心的无电池的毫米波MIMO系统.
- 解决实际限制,包括前航运能力和以用户为中心的特性.
- 在定义的约束下,最大限度地提高通信网络的总比率.
主要方法:
- 使用统计道状态信息 (CSI) 来分配资源.
- 在接入点 (AP) 实现混合光束成形 (HBF) 架构.
- 在中央处理单元 (CPU) 中使用大规模色解码 (LSFD) 来进行信号组合.
- 应用交替优化 (AO) 和分数编程用于功率分配 (PA).
- 使用大化-最小化 (MM) 方法优化HBF和LSFD系数.
主要成果:
- 开发了一个算法来优化用户传输功率的PA子问题.
- 提出了一种算法,以共同优化HBF和LSFD系数.
- 拟议的方案有效地最大化了前线运输和最低费率限制下的总费率.
- 证明了一种方法来克服现有的无细胞毫米波MIMO研究的局限性.
结论:
- 拟议的资源分配方案增强了上链以用户为中心的无细胞毫米波MIMO系统.
- 该方法有效地管理了前程运输能力和以用户为中心的要求.
- 这项工作为改善毫米波波段通信网络性能提供了实际解决方案.
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