面向车联网的感知辅助通信的大规模MIMO-OTFS鲁棒传输方案

A massive MIMO-OTFS robust transmission scheme for vehicular networks using sensing-assisted communication

面向车联网多用户通感一体系统,提出了一种感知辅助通信的大规模多输入多输出正交时频空鲁棒传输方案。由于实际雷达感知精度有限,基于感知参数重构的信道状态信息(CSI,channel state information)存在误差,系统的传输性能也会随之下降。对此,所提方案首先在发射端基于感知参数在时延多普勒域重构CSI,并考虑CSI误差设计鲁棒波束成形方案。其次,在接收端利用感知参数觉知用户间干扰及信道估计误差,并将所觉知的干扰误差以解析式的方式融入接收机中完成鲁棒设计。仿真结果表明,所提方案可以在CSI非理想情况下有效降低系统误码率,增加用户的数据接收速率,提升系统的整体性能。

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.