National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China.
School of Information Science and Engineering, Southeast University, Nanjing 210096, China.
Sensors (Basel). 2021 Sep 16;21(18):6222. doi: 10.3390/s21186222.
In this paper, we use satellite-assisted and multi-group multicast mechanisms to relieve ground traffic pressure and improve data transmission efficiency of cell-free massive MIMO systems. We propose to estimate channel state information (CSI) by common pilot scheme. Given the estimated CSI, we derive the closed-form expressions of achievable rate with maximum ratio transmission (MRT) and zero-forcing (ZF) precoding. The correctness of the closed-form expressions is verified through simulations. The results show that with the help of satellite and multicast, the average system spectrum efficiency (SE) can be significantly improved.
在本文中,我们使用卫星辅助和多组组播机制来缓解地面交通压力并提高无蜂窝大规模 MIMO 系统的数据传输效率。我们提出了一种使用公共导频方案来估计信道状态信息 (CSI) 的方法。基于估计的 CSI,我们推导出了采用最大比传输 (MRT) 和迫零 (ZF) 预编码的可达速率的闭式表达式。通过仿真验证了闭式表达式的正确性。结果表明,在卫星和组播的帮助下,平均系统频谱效率 (SE) 可以得到显著提高。