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通信与网络
| Communication and Network
ntizer, the power consumption of the system will be greatly increased, which
will hinder the widespread application of ultra - large - scale MIMO systems. Therefore, this article assumes that each antenna of the
base station is equipped with a pair of 1 - bit analog - to - digital converters (ADC ), and uses the mapping relationship between the
sub - array and the user to describe the non - stationary channel characteristics. Based on the powerful generalization ability of neural
network(DNN), this paper designs a new generative supervised DNN model that can be trained with a reasonable number of pilots.
The simulation results show that the proposed network can achieve better estimation performance with less pilots and achieve a good
balance between performance and complexity.
Key words :channel estimation ； deep learning ； spatial non-stationary ； 1-bit ADC
0引言 超高的数据速率和系统吞吐量。超大规模MIMO技术也
大规模多输入多输出(Multiple Input Multiple Output， 因此成为第六代(Sixth Generation，6G)移动通信关键技术
MIMO)技术是第五代(Fifth Generation，5G)移动通信的关 的候选[1] $然而，大口径阵列的使用会造成不同的信道
键技术之一。随着天线阵列尺寸数量级的增加，形成了 条件$当整个阵列的孔径有限并且服务相同的用户时
| Communication and Network
ntizer, the power consumption of the system will be greatly increased, which
will hinder the widespread application of ultra - large - scale MIMO systems. Therefore, this article assumes that each antenna of the
base station is equipped with a pair of 1 - bit analog - to - digital converters (ADC ), and uses the mapping relationship between the
sub - array and the user to describe the non - stationary channel characteristics. Based on the powerful generalization ability of neural
network(DNN), this paper designs a new generative supervised DNN model that can be trained with a reasonable number of pilots.
The simulation results show that the proposed network can achieve better estimation performance with less pilots and achieve a good
balance between performance and complexity.
Key words :channel estimation ； deep learning ； spatial non-stationary ； 1-bit ADC
0引言 超高的数据速率和系统吞吐量。超大规模MIMO技术也
大规模多输入多输出(Multiple Input Multiple Output， 因此成为第六代(Sixth Generation，6G)移动通信关键技术
MIMO)技术是第五代(Fifth Generation，5G)移动通信的关 的候选[1] $然而，大口径阵列的使用会造成不同的信道
键技术之一。随着天线阵列尺寸数量级的增加，形成了 条件$当整个阵列的孔径有限并且服务相同的用户时
基于深度学习的1-比特超大规模MIMO信道估计 来自淘豆网www.taodocs.com转载请标明出处.