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6G Integrated Sensing and Communication - Sensing Assisted Environmental Reconstruction and Communication

IEEE International Conference on Acoustics, Speech, and Signal Processing(2023)

Huawei Technologies Co. | Huawei Technologies Canada Co.

Cited 1|Views9
Abstract
Integrated sensing and communication (ISAC) is believed to play a vital role for connected intelligence in 6G. Radio waves can be used to sense surrounding and obtain the environment information. Furthermore, the environmental knowledge provided by sensing improves the accuracy of channel estimation, resulting in better communication throughput. This paper provides a study of sensing assisted environment reconstruction and communication in ISAC scenario. We propose a multi transmission reception points (TRP) sensing architecture based on scatter polygon assumption to improve environment sensing accuracy. Then a polygon trace scheme is introduced to reconstruct communication channel hinging on sensing reconstructed environment. Cm-level sensing accuracy and ns-level communication channel reconstruction can be achieved by 140 GHz indoor measurement campaign validation.
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ISAC,6G,environment reconstruction,sensing,channel prediction
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要点】:本文提出了一种基于散射多边形假设的多传输接收点(TRP)感知架构,通过辅助环境重建来提升6G集成感知与通信(ISAC)场景下的通信性能,实现了厘米级感知精度和纳秒级通信信道重建。

方法】:通过构建多传输接收点感知架构,并采用多边形追踪方案,利用感知重建的环境信息来优化通信信道估计。

实验】:使用140 GHz室内测量活动验证了所提方法,实验数据集为室内测量数据,结果表明实现了Cm级的感知精度和ns级的通信信道重建。