在光二极管集成阵列天线模块中的基于强化学习的自适应光束对齐
Optics letters
|February 1, 2024
概括
我们开发了一个智能自适应光束对齐系统,使用强化学习 (RL) 来进行毫米波 (MMW) 通信. 该系统优化了天线阶段,以获得优质的信号质量,满足3GPP标准.
科学领域:
- 无线通信无线通信
- 天线技术天线技术
- 人工智能的人工智能
背景情况:
- 毫米波 (MMW) 通信系统需要精确的光束对齐以获得最佳性能.
- 传统的光束对齐方法可能是复杂和耗时的.
- 适应性天线系统对于动态无线环境至关重要.
研究的目的:
- 通过强化学习 (RL) 演示智能自适应光束对齐方案.
- 集成RL与8x8光子阵列天线用于MMW应用程序.
- 为了自主优化光束对齐以提高信号质量.
主要方法:
- 使用强化学习 (RL) 算法与 Q-table 进行决策.
- 代表的RL状态是阶段值,动作是阶段变化,奖励是错误向量大小 (EVM).
- 整合了RL方案与40 GHz光子阵列天线.
主要成果:
- 该RL方案自主实现了最佳EVM性能的最佳阶段.
- 在单个和多个用户场景中成功展示了光束对齐.
- 实验结果始终符合64-QAM OFDM的第三代伙伴关系项目 (3GPP) 标准.
结论:
- 拟议的智能自适应光束对齐方案有效优化了MMW通信.
- 强化学习提供了一种自主和高效的光束对齐方法.
- 该系统确保可靠的信号质量,符合严格的行业标准.
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