We discuss STBC based on transmit diversity gain and V-BLAST based on spatial multiplexing.
本文主要讨论了基于发射分集技术的空时分组码和基于空间复用技术的垂直分层空时码。
参考来源 - STBC与VA review of researches in spatial multiplexing and space-time coding (STC) is given in chapter 2.
第2章回顾了空分复用和空时编码这两类MIMO技术的研究现状。
参考来源 - MIMOIn this paper,we propose an adaptive resource allocation scheme for spatial multiplexing based multi-user MIMO/OFDM downlink system under imperfect channel information to maximize the system sum-rate and satisfy users QoS parameters.
以系统总速率最大化为目标,提出在非理想信道信息情形下基于空分复用的多用户MIMO/OFDM下行系统的自适应资源分配方案,并满足用户的QoS要求。
参考来源 - 信道估计误差下多用户MIMO/OFDM下行系统自适应传输 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
MIMO technology can be classified as transmit diversity and spatial multiplexing.
MIMO技术总体上可分为发送分集方式和空间复用方式。
Spatial multiplexing and space diversity gain of a system can be extracted through MIMO technique.
多输入多输出(MIMO)技术可以为系统提供空间复用增益和空间分集增益。
In MIMO spatial multiplexing system, channel state information(CSI) is very useful for adaptive selection of the optimal precoding schemes which can enhance system performance effectively.
针对MIMO空分复用系统中利用信道状态信息自适应选择最佳预编码方案能有效提高系统性能，提出了一种基于有限比特反馈的预编码联合优化算法。
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