Description: 介绍脏纸编码技术在mimo广播信道中的应用，并拿之与tdma系统有一个比较-Dirty paper coding techniques introduced in the application of MIMO broadcast channels, and Helena with the TDMA system has a relatively Platform: |
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Author:岑楠 |
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Description: 多天线系统小区用户最佳预编码顺序的确定.介绍了一种在实际下行广播信道中采用脏纸编码（DPC）设计系统的方法，其
中基站发送端为多天线，接收端为单天线。主要的目标是在下行信道中满足每个用户的最小
速率要求和最大误码率要求的条件下最小化总体的传输功率-Cell users the best pre-coding sequence to determine a multi-antenna system. Describes an actual downlink broadcast channel using dirty paper coding (DPC) design system, wherein the multi-antenna base station transmit side, the receiving terminal as a single antenna. The main goal is to meet the conditions required by the minimum rate and maximum bit error rate of each user to minimize the overall transmission power in the downlink channel Platform: |
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Author:韩琰 |
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Description: 脏纸编码和Tomlinson-Harashima预编码，消除数据间干扰-Dirty paper coding and Tomlinson- Harashima precoding, eliminate the interference among the data Platform: |
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Author:易需 |
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Description: 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 by writing on the paper as if it were clean, even though the reader does not know where the dirt is. In this case the dirt is interference, the paper is the channel, the writer on the paper is the transmitter, and the reader is the receiver. In information-theoretic terms, dirty-paper coding achieves the channel capacity, without a power penalty and without requiring the receiver to gain knowledge of the interference state.
Note that DPC at the encoder is an information-theoretic dual of Wyner-Ziv coding at the decoder[citation needed].-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 by writing on the paper as if it were clean, even though the reader does not know where the dirt is. In this case the dirt is interference, the paper is the channel, the writer on the paper is the transmitter, and the reader is the receiver. In information-theoretic terms, dirty-paper coding achieves the channel capacity, without a power penalty and without requiring the receiver to gain knowledge of the interference state.
Note that DPC at the encoder is an information-theoretic dual of Wyner-Ziv coding at the decoder[citation needed]. Platform: |
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Author:alan |
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Description: 在多用户条件下，通过设计合理的预编码矩阵可以降低多用户之间的信息干扰，尤其是采用复杂度比较高的非线性预编码算法，使用最多的算法比如THP（脏纸编码算法）， 在复杂度和性能上取得折中。
关键技术
该资料包括了编码和解码两个.m文件，通过在发送端采用合理的预编码矩阵设计，在接收端通过合理的解预编码矩阵设计，可以使得单个小区内的多用户之间数据流不会出现因为相邻小区导频的复用而带来的干扰。-In multi-user criteria, designed by pre-coding matrix can reduce interference between multiple users of the information, especially the use of relatively high complexity of the non-linear pre-coding algorithm, the most used algorithms such as THP (dirty paper coding algorithm), It achieved a compromise on the complexity and performance.
Key Technology
The information includes encoding and decoding two .m file by the sender using a reasonable pre-coding matrix design, at the receiving end by a reasonable solution pre-coding matrix designed to make the data between the individual cells within a multi-user flow is not interference because neighboring cell pilot multiplexing brought occur. Platform: |
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Author:chenbo |
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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: |
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Author:nebiyu |
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Search - dirty paper coding