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arXiv 1702.08574cs.ITmath.IT
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利用带外空间信息的毫米波波束选择

Millimeter Wave Beam-Selection Using Out-of-Band Spatial Information

Anum Ali, Nuria González-Prelcic, Robert W. Heath

摘要:

毫米波(mmWave)通信是用于高数据速率应用(如车对万物通信和下一代蜂窝通信)的一种可行的解决方案。然而,可以通过信道估计或波束选择来配置毫米波链路是显著开销的来源。在本文中,我们建议使用在6 GHz以下提取的空间信息来帮助建立毫米波链路。首先,我们回顾了频率相关信道行为的先前工作,并概述了一种生成多频带频率相关信道的仿真策略。第二,假设:(i)窄带信道和低于6 GHz的全数字架构;以及(ii)宽带频率选择性信道,OFDM信令和毫米波模拟架构,我们概述了将低于6 GHz的空间信息纳入毫米波压缩波束选择的策略。我们制定压缩波束选择作为一个加权稀疏信号恢复问题,并从子6 GHz信道的加权信息。此外,我们概述了一个结构化的预编码器/组合器的设计,以定制的训练带外信息。我们还扩展了所提出的带外辅助压缩波束选择方法,以利用来自所有活动OFDM子载波的信息。对可达速率的仿真结果表明,带外辅助波束选择可以将仅带内波束选择的训练开销减少4倍。

英文摘要:

Millimeter wave (mmWave) communication is one feasible solution for high data-rate applications like vehicular-to-everything communication and next generation cellular communication. Configuring mmWave links, which can be done through channel estimation or beam-selection, however, is a source of significant overhead. In this paper, we propose to use spatial information extracted at sub-6 GHz to help establish the mmWave link. First, we review the prior work on frequency dependent channel behavior and outline a simulation strategy to generate multi-band frequency dependent channels. Second, assuming: (i) narrowband channels and a fully digital architecture at sub-6 GHz; and (ii) wideband frequency selective channels, OFDM signaling, and an analog architecture at mmWave, we outline strategies to incorporate sub-6 GHz spatial information in mmWave compressed beam selection. We formulate compressed beam-selection as a weighted sparse signal recovery problem, and obtain the weighting information from sub-6 GHz channels. In addition, we outline a structured precoder/combiner design to tailor the training to out-of-band information. We also extend the proposed out-of-band aided compressed beam-selection approach to leverage information from all active OFDM subcarriers. The simulation results for achievable rate show that out-of-band aided beam-selection can reduce the training overhead of in-band only beam-selection by 4x.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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