Description: 本代码给出了在多用户mimo系统中功率分配的策略，包括注水法和等功率分配法，并得到了响应的信道容量。-This code gives the power distribution in a multi-user mimo systems strategy, including water injection method and equal power allocation method and the response capacity of the channel. Platform: |
Size: 4096 |
Author: |
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Description: 与在空间域上通过适当信号处理来分离多用户相比，下行多用户多输入多输出（MU-MIMO）传输技术因其显著增加系统容量的潜力近来已经得到广泛关注。令人遗憾的是，这些技术需要准确的信道状态信息保证其正常运行。然而在实践中，由于在FDD系统中反馈信道的有限容量导致精确的CSIT是难以获得的。本文研究的系统采用MU-MIMO下行链路传输中的分解有限反馈。特别是，支持能够处理用户间干扰的方案的必不可少的信息是确定的，根据把残余的用户间干扰功率最大限度地减小来设计最佳的码本。模拟结果表明，一般的有限反馈对通过MU-MIMO分解变速器获得的交互信号有显著的影响。-Abstract — Downlink multi-user multiple-input multiple-output
(MU-MIMO) transmission techniques have gained much attention
recently because of their potential to significantly increase system
capacity compared to single-user transmission by separating
multiple users in the space domain through appropriate signal
processing. Unfortunately, these techniques require accurate
channel state information at the transmitter (CSIT) for their
proper operation. In practice however perfect CSIT is hard to
obtain due to capacity-limited feedback channel in FDD systems
for example. In this paper we investigate systems employing
MU-MIMO decomposition transmission in the downlink with
limited feedback. In particular, the essential information that
enables the scheme to deal with inter-user interference is
identified and the optimal codebook design in terms of minimizing
the residual inter-user interference power is derived. Simulation
results show that in general limited feedback has a Platform: |
Size: 1024 |
Author:何静 |
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Description: MU-MIMO is widely considered a key technology
for system capacity improvement in modern
wireless networks. In contrast to
SU-MIMO, where the spatial multiplexing gain
is confined to a single user, MU-MIMO allows
multiple users to be co-scheduled on the same
time-frequency resources to exploit this gain
among two or more UE units. This is particularly
beneficial as high-rank SU-MIMO transmission
is often limited by the number of
antennas and antenna design constraints at the
user end, whereas high-rank transmission using
MU-MIMO is more feasible due to the scattered
user distribution.
It is well known that the information theoretic
optimal MU-MIMO scheme is dirty paper
coding (DPC), which unfortunately is a nonlinear/
non-causal beamforming scheme and therefore
unrealistic in real-life applications. From a
practical deployment point of view, the most Platform: |
Size: 407552 |
Author:nebiyu |
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Description: very useful article about MU-MIMO THP to achieve near capacity -Tomlinson Harashima Precoding (THP) for Multi-
User Multiple Input Multiple Output (MU-MIMO) system has
been proposed as an effective way to achieve near capacity to
the theoretical limit in MU-MIMO channels. Platform: |
Size: 194560 |
Author:wangxx |
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