MU-MIMO

The Adaptive Resource Allocation for MU-MIMO Systems with the Presence of Channel Estimation Error

存在信道估计误差的MU-MIMO系统自适应资源分配

MU-MIMO Technology and its Application in LTE Systems

多用户MIMO技术及其在LTE系统中的应用

Mode Adaptive Opportunistic Transmission in MU-MIMO Downlink with Limited Feedback

MU-MIMO下行链路模式自适应有限反馈机会传输

The quantization error of channel vector greatly influences the system capacity in MU-MIMO precoding .

信道矢量的量化误差对多用户MIMO预编码系统的性能影响较大。

However , the problem of user interference in MU-MIMO can be solved by precoding technique .

因此在解决无线多用户MIMO广播信道多用户干扰问题的主要方法是采用预编码技术。

Simulation results show that applying the proposed strategy , MU-MIMO downlink transmission can be implemented successfully without CSI .

仿真结果表明，在无信道信息的情况下，采用本策略能够成功实现下行通信。

We proposed an MU-MIMO downlink transmission strategy to solve the trans-mission problem for MIMO broadcast channels without available CSI .

提出一种多用户MIMO下行传输策略，解决了无可用信道信息场景中的MIMO广播信道通信问题。

We proposed a distributed scheduling algorithm for multiuser MIMO ( MU-MIMO ) downlink with dynamic variation of transmission mode and feedback cost .

针对多用户MIMO下行链路，提出一种通信方式与反馈开销动态变化的分布式调度算法。

LTE-Advanced system , not just single-user MIMO , also introduces a collaborative user virtual MU-MIMO ( Multi-user MIMO ) technology .

在LTE-Advanced系统中不仅仅是单用户MIMO，还引入了多协作用户的虚拟MIMO（Multi-UserMIMO）技术。

At the same time , the basic flow of downlink packet scheduling in the LTE system is introduced and semi-persistent scheduling , downlink transmission mode adaption and MU-MIMO are researched and implemented based on it .

同时，本文还介绍了TD-LTE系统下行资源调度与分配的基本流程以及在此基础上开展的半持续调度、下行传输模式自适应、下行多用户MIMO等的研究和实现。