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两篇最新的介绍MIMO中继信道容量的文章Capacity Bounds for Gaussian MIMO relay channel with Channel State Information 与 Amplify-Forward and Decode-Forward The Impact of Location and Capacity Contour-2, introduced the latest MIMO channel capacity relay article Capacity
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在MIMO系统中，已知和未知信道状态信息时的信道容量比较-In MIMO systems, known and unknown channel state information when the channel capacity compared
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In this paper, we integrate the channel assignment and
power assignment into a distributed channel access
algorithm. A cost-function is introduced to provide some
optional channels according to their cost for transmitted
power level searching
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On the Capacity of Some Channels
with Channel State Information
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随着传输速率越来越高,信号所占用的带宽越来越宽,实际信道呈现出频率选择性衰落特
性。根据频率选择性衰落信道特性,建立了频率选择性衰落M IMO信道模型,采用频域和时域的方
法研究了在频率选择性衰落下,发射端已知和未知信道状态信息的M IMO信道容量,并给出了相关
的仿真结果。研究结果表明:在相同发射功率和传输带宽下,M IMO系统可以不牺牲信号带宽而显
著提高信道的容量,并且天线数量和输入信噪比的大小对信道容量具有不同的影响。研究结果为如
何提高频率选择性衰落环境下M IMO
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With the higher and higher of transmitting rate, the signal bandwidth iswider and wider, and the
p ractical channel p resents the frequency selective fading character. In this paper, a multi - input multi -
output (M IMO) channelmodel under frequ
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MIMO-OFDM wireless communications with matlab 例程。包含propagation and fading、SISO channel models、MIMO Channel models、intorduction to ofdm、 synchronization for ofdm、channel estimation、Papr reduction、inter-cell interference mitigation techniques MIMO chan
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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
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he term dirty paper coding comes Max Costa[1] who imagined a paper which is partially covered with dirt that is indistinguishable ink. The theorem says that if the writer knows where the dirt is to start with, she can convey just as much information
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Massive multiple-input multiple-output technology has been considered a breakthrough in wireless
communication systems. It consists of equipping a base station with a large number of antennas to serve many active
users in the same time–frequency
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Massive multiple-input multiple-output technology has been considered a breakthrough in wireless
communication systems. It consists of equipping a base station with a large number of antennas to serve many active
users in the same time–frequency
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