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基于5G大规模MIMO的组合多武器盗的频谱分配和用户调度.
Jian Dou1, Xuan Liu1, Shuang Qie1
1China Electric Power Research Institute, Beijing 100192, China.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
这项研究介绍了一种新的组合式多臂强盗 (CMAB) 方法,用于大规模多输入多输出 (MIMO) 系统. 该方法通过优化用户调度和频谱分配来提高频谱效率,同时减少飞行员的开销.
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:
- 大规模的MIMO对5G至关重要,增强容量并减少延迟.
- 传统的方法往往涉及高飞行员开销和道估计负担.
- 优化用户调度和频谱分配是最大化频谱效率的关键.
研究的目的:
- 为大规模MIMO系统提出新的用户调度和频谱分配方法.
- 与现有技术相比,减少飞行员的空头费用,提高频谱效率.
- 为了利用组合式多武装强盗 (CMAB) 进行高效的资源管理.
主要方法:
- 使用CMAB进行用户调度的两阶段方法.
- 采用线性上置信限 (UCB) 算法来选择臂.
- 统计道状态信息 (CSI) 的分组,用于直角子载波分配.
主要成果:
- 基于CMAB的方法避免了全通道估计,大大减少了飞行员的开销.
- 拟议的用户调度算法证明了对数后悔.
- 这种两阶段的方法有效地减少了用户间的干扰,并提高了光谱效率.
结论:
- 基于CMAB的用户调度和频谱分配方法为大型MIMO系统提供了显著的改进.
- 该方法通过最大限度地减少飞行员开销和干扰来实现高光谱效率.
- 这种方法为未来的5G和超越无线网络提供了一个有希望的方向.
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