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在大型无线网络中进行自适应束形,无细胞资源分配和NOMA

Panagiotis Gkonis¹, Spyros Lavdas², George Vardoulias³

¹Department of Digital Industry Technologies, National and Kapodistrian University of Athens, Dirfies Messapies, 34400 Athens, Greece.

Sensors (Basel, Switzerland)

|December 17, 2024

概括

这项研究表明,在无细胞大规模MIMO中,具有非对角多重访问 (NOMA) 的自适应波束成形可以提高高数据速率的关键性能指标. 与传统方法相比,它提高了用户能力和资源的可用性.

科学领域:

无线通信无线通信
信号处理信号处理
电信工程电信工程电信工程

背景情况:

无细胞大规模MIMO (CF m-MIMO) 提供了增强的光谱效率和覆盖范围.
非对角多重接入 (NOMA) 旨在增加用户数量和频谱效率.
在密集的无线网络中,合作光束成形对于减轻干扰至关重要.

研究的目的:

为了评估在CF m-MIMO系统中与NOMA相结合的自适应束形态方法.
为了尽量减少NOMA传输中移动站 (MS) 之间的共同通道干扰 (CCI).
为了评估与直角多重访问 (OMA) 相比的性能增长.

主要方法:

在一个虚拟单元中,在相邻的接入点 (AP) 之间实现合作光束形成.
使用广泛的蒙特卡洛 (MC) 模拟进行统计性能评估.
对下链传输的关键绩效指标 (KPIs) 的分析.

主要成果:

拟议的使用NOMA的自适应光束成型显著改善了高数据速率服务的关键指标.
取得的改进包括增加最低用户数量和可用的物理资源块 (PRB).
为了管理增加的CCI,NOMA需要更多的定向光束成型,但硬件收益超过了成本.

结论:

与NOMA集成的自适应光束成型为提高CF m-MIMO性能提供了一个可行的策略.
这种方法为高数据速率应用程序提供了相对于OMA的实质性优势.
这项技术对未来的无线网络容量和效率有很大的前景.

关键词:

5G是什么意思? 5G是什么意思?这是一个巨大的MIMO.毫米波传输是指毫米波的传输.不同对角的多重访问.在系统层面进行模拟.

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