Channel Feedback Load Reduction at Scheduling Stage in Massive-MIMO Downlink Transmission
Date Issued
2014
Date
2014
Author(s)
Shen, Da-Chen
Abstract
The concept of Massive-MIMO is a system where a base station equipped with a large number of antennas, say 100 antennas or more, simultaneously serves several users in the same frequency band. However, to harvest the potential bene ts of Massive-MIMO, the base station must acquire the instantaneous channel state information (CSI) in order to suppress inter-user interference. With frequency division duplexing (FDD), channel estimation becomes much more challenging since radio resources required by common
pilots and feedback both grow linearly with the number of BS antennas. By exploiting channel reciprocity, CSI acquisition at base station is more feasible under time division duplexing (TDD) operation. So, time division duplexing
is more preferable in Massive-MIMO systems. Nonetheless, the assumption of channel reciprocity in TDD might not be practical.
In our work, we utilize the random beamforming CSI estimation method in order to make Massive-MIMO system work for FDD operation. Then, we take the scheduling mechanism into consideration and propose a novel scheme to reduce the feedback load at scheduling stage.
Subjects
多輸入多輸出
大規模多輸入多輸出
多用戶多輸入多輸出
通道狀態信息
通道品質指標
通道方向信息
隨機波束成形
通道量測
部分正交之使用者選擇
Type
thesis
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