arrow
返回

Constant Envelope Precoding for MIMO Systems

delete2018-01-01
delete21
delete
OA
AI
S
Shuowen Zhang *
R
Rui Zhang
T
Teng Joon Lim
DOI:10.1109/TCOMM.2017.2754486delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
Constant envelope (CE) precoding is an appealing transmission technique which enables highly efficient power amplification. In this paper, we consider a point-to-point multiple-input multiple-output (MIMO) system with CE precoding under frequency-flat fading, and investigate the joint transceiver design by exploiting multiple antennas at both the transmitter and the receiver, which has not been addressed in prior work. We consider both single-stream transmission (i.e., beamforming) and multi-stream transmission (i.e., spatial multiplexing). For single-stream transmission, we optimize the receive beamforming vector to minimize the symbol error rate (SER) for any given channel realization and desired constellation at the combiner output. By reformulating the problem as an equivalent quadratically constrained quadratic program, we propose an efficient semi-definite relaxation based algorithm to find an approximate solution. Next, for multi-stream transmission, we propose a new scheme based on antenna grouping at the transmitter and minimum mean squared error or zero-forcing based beamforming at the receiver. The transmit antenna grouping and receive beamforming vectors are then jointly designed to minimize the maximum SER over all data streams. Numerical results show that our proposed schemes for both single- and multi-stream transmissions achieve superior error-rate performances as compared with various benchmark schemes. Finally, the error-rate performances of our proposed single- versus multi-stream transmission schemes are compared via simulations under different setups, which provide useful insights to the transmission mode selection for CE-precoded MIMO systems.
Keyword:
Constant envelope (CE) precoding
multiple-input multiple-output (MIMO)
receive beamforming
semi-definite relaxation (SDR)
AI总结

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

IEEE Transactions on Communications 封面图
IEEE Transactions on Communications
IF:
8.3
论文数:
1.2W
被引数:
4.0W

机构

新
新加坡国立大学
学者数:
3.6K
论文数: 1.5K
被引数: 1.9W
引用论文

引用论文

Predictive algorithms in the management of computer systems
err2002-01-01
err0
PREAI
errR. Vilalta; C. V. Apte; J. L. Hellerstein; S. Ma; S. M. Weiss
err分享
err收藏
Emission spectrometry
err2002-05-01
err0
PREAI
errRamon M. Barnes
err分享
err收藏
Improved Constant Envelope Multiuser Precoding for Massive MIMO Systems
err2014-08-01
err46
PREAI
errChen, Jung-Chieh; Wen, Chao-Kai; Wong, Kai-Kit
err分享
err收藏
err分享
err收藏
Semidefinite Relaxation of Quadratic Optimization Problems
err2010-05-01
err2.8K
errOAAI
errLuo, Zhi-Quan; Ma, Wing-Kin; So, Anthony Man-Cho; Ye, Yinyu; Zhang, Shuzhong
err分享
err收藏
学者 查看更多内容