.png){kind=icon}
返回
Novel Feedback Bit Allocation Methods for Multi-Cell Joint Processing Systems
.png){kind=icon}
PRE
AI
DOI：10.1109/TWC.2012.062012.111169.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this letter, we study multiple-input single-output joint processing (JP) systems with limited feedback where base stations exchange both channel state information and their data via ideal backhaul links. In order to optimize the sum-rate performance of the JP system, we propose a new feedback bit allocation scheme which maximizes quantization accuracy in the presence of pathloss. The quantization accuracy is formulated by the expectation of the inner product between the actual channel vector and the quantized channel vector. First, we derive the quantization accuracy as a closed form, which compensates the phase difference of two channels. Then, the maximum quantization accuracy is achieved by searching possible bit combinations. Simulation results show that the sum rate of our proposed feedback bit allocation strategy is more than twice compared to the conventional equal bit allocation method in the three cell case.
Keyword:
Multicell
multiple antennas
limited feedback
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
10.7
论文数:
1.3W
被引数:
5.3W
机构
引用论文
.png){kind=icon}
Improved transmit null steering for MIMO-OFDM downlinks with distributed base station antenna arrays
PREAI
分享收藏分享收藏
分享收藏分享收藏分享收藏
查看更多内容