论文标题
与关节梁的斜视和光束分开的集成感应和通信,以进行大规模的MIMO
Integrated Sensing and Communications with Joint Beam Squint and Beam Split for Massive MIMO
论文作者
论文摘要
集成的传感和通信(ISAC)引起了对未来6G无线通信系统的极大关注。为了提高传输速率和感知精度,使用大型传输带宽利用了大量的多输入(MIMO)技术。然而,透射带宽和天线阵列的尺寸不断增长,会导致梁的斜视效果,从而阻碍了通信。此外,传统传感算法的开销对于实用系统而言是刺激性的。在本文中,我们没有减轻宽带梁的斜视效果,而是利用了关节梁的斜视和梁拆分效果,并提出了一种新颖的用户方向传感方法,该方法与大量的MIMO正交频施加了(OFDM)系统集成在一起。具体而言,BS具有横梁斜视效果,利用真实的时间段(TTD)线将不同的OFDM子载波的光束同时转向不同方向。用户反馈以最大数组增益为BS的子载波频率。然后,BS根据子载波频率反馈计算方向。 futhermore,通过扩大 - 安德滕纳间距的扩大而引入的光束拆分效应被利用以扩大感应范围。所提出的传感方法在频域上运行,并且所有子载波同时覆盖了预期的感应范围,从而大大减少了常规感测的时间开销。仿真结果证明了拟议ISAC方案的有效性以及出色的性能。
Integrated sensing and communications (ISAC) has attracted tremendous attention for the future 6G wireless communication systems. To improve the transmission rates and sensing accuracy, massive multi-input multi-output (MIMO) technique is leveraged with large transmission bandwidth. However, the growing size of transmission bandwidth and antenna array results in the beam squint effect, which hampers the communications. Moreover, the time overhead of the traditional sensing algorithm is prohibitive for practical systems. In this paper, instead of alleviating the wideband beam squint effect, we take advantage of joint beam squint and beam split effect and propose a novel user directions sensing method integrated with massive MIMO orthogonal frequency division multiplexing (OFDM) systems. Specifically, with the beam squint effect, the BS utilizes the true-time-delay (TTD) lines to steer the beams of different OFDM subcarriers towards different directions simultaneously. The users feedback the subcarrier frequency with the maximum array gain to the BS. Then, the BS calculates the direction based on the subcarrier frequency feedback. Futhermore, the beam split effect introduced by enlarging the inter-antenna spacing is exploited to expand the sensing range. The proposed sensing method operates over frequency-domain, and the intended sensing range is covered by all the subcarriers simultaneously, which reduces the time overhead of the conventional sensing significantly. Simulation results have demonstrated the effectiveness as well as the superior performance of the proposed ISAC scheme.