On the Achievable Rates of FDD Massive MIMO Systems with Spatial Channel Correlation

被引：0
|
作者：
Jiang, Zhiyuan [1 ]
Molisch, Andreas F. [2 ]
Caire, Giuseppe [2 ]
Niu, Zhisheng [1 ]
机构：
[1] Tsinghua Univ, Beijing 100084, Peoples R China
[2] Univ So Calif, Los Angeles, CA 90089 USA
来源：
2014 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC) | 2014年
基金：
美国国家科学基金会;
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we study the optimization of the achievable rates of frequency-division-duplex (FDD) massive multiple-input-multiple-output (MIMO) systems with spatially correlated channels, by designing the downlink channel training sequences and the uplink channel feedback codebooks. In particular, the optimal channel training sequences and a Karhunen-Loeve transform followed by entropy coded scalar quantization codebook are proposed to optimize the achievable rates. We compare our achievable rates with time-division-duplex (TDD) massive MIMO systems, i.i.d. FDD systems, and the joint spatial division and multiplexing (JSDM) scheme. It is shown that, the rate-gap between FDD systems and TDD systems is significantly narrowed. Compared to the JSDM scheme, our proposal achieves dimensionality-reduction channel estimation without channel pre-projection, and higher throughput in general, though at higher computational complexity.
引用
收藏
页码：276 / 280
页数：5
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