面向车联网的感知辅助通信的大规模MIMO-OTFS鲁棒传输方案

doi:10.11959/j.issn.2096-3750.2023.00363

Abstract

Abstract:

For a multi-user integrated sensing and communication system in the network of vehicles, a robust sensing-assisted communication massive multiple-input multiple-output (MIMO) orthogonal time frequency space (OTFS) transmission scheme was proposed.Due to the limited sensing accuracy of the radar, errors existed in the channel state information (CSI) reconstructed based on sensing parameters.The transmission performance decreased as a result.To address this issue, the CSI in the delay doppler domain was reconstructed based on the sensing parameters by the transmitter firstly.And a robust beam forming scheme was designed considering the CSI error.Secondly, the channel estimation error and inter user interference were perceived by receivers based on sensing parameters.Then the robust receiver was designed by incorporating the perceived interference errors into the signal detector in an analytical way.Finally, numerical simulation results show that the proposed method effectively reduces the system bit error rate and increases the data reception rate of users.The proposed method improves the overall system performance in this situation.

Key words: orthogonal time frequency space, integrated sensing and communication, signal detector, robust beamforming

CLC Number:

TN92

Weidong WANG, Hui GAO, Xin SU, Limin XIAO, Shiqiang SUO, Qiusha GONG. A massive MIMO-OTFS robust transmission scheme for vehicular networks using sensing-assisted communication[J]. Chinese Journal on Internet of Things, 2023, 7(4): 39-51.

Figures/Tables 9

References 31

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文献	基于OTFS-ISAC架构	多用户MIMO	鲁棒波束成形设计	鲁棒接收机方案设计	感知辅助通信性能优化
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A massive MIMO-OTFS robust transmission scheme for vehicular networks using sensing-assisted communication

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References 31

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