Description: it has been designed to calculate the ergodic and outage capacity of a MIMO Rayleigh channel considering no CSIT and perfect CSIT
The channel is assumed to be spatially correlated according to a Kronecker
model but temporally uncorrelated. -it has been designed to calculate the ergodic and outage capacity of a MIMO Rayleigh channel considering no CSIT and perfect CSITThe channel is assumed to be spatially correlated according to a Kroneckermodel but temporally uncorrelated. Platform: |
Size: 1024 |
Author:Doulah |
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Description: This function calculates the ergodic and outage capacity of a MIMO Rayleigh
channel considering no CSIT (equal power allocation) and perfect CSIT
(waterfilling power allocation). In both cases perfect CSIR is assumed. The
channel is assumed to be spatially correlated according to a Kronecker
model but temporally uncorrelated.- This function calculates the ergodic and outage capacity of a MIMO Rayleigh
channel considering no CSIT (equal power allocation) and perfect CSIT
(waterfilling power allocation). In both cases perfect CSIR is assumed. The
channel is assumed to be spatially correlated according to a Kronecker
model but temporally uncorrelated. Platform: |
Size: 1024 |
Author:thanh |
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Description: 此函数计算了遍历性和中断的MIMO瑞利信道，考虑到没有CSIT（平均功率分配）和完善CSIT（注水功率分配）信道容量。在这两种情况下假设是理想的。该频道跟据克罗内克模型假设空间相关，但在时间上不相关。
-This function calculates the ergodic and outage capacity of a MIMO Rayleigh
channel considering no CSIT (equal power allocation) and perfect CSIT
(waterfilling power allocation). In both cases perfect CSIR is assumed. The
channel is assumed to be spatially correlated according to a Kronecker
model but temporally uncorrelated.
Platform: |
Size: 1024 |
Author:k |
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Description: 运用matlab实现了kronecker无线信道模型的仿真，并有相应的测试例，可以直接通过本源码得到kronecker模型的H矩阵及其各种统计特性。-Kronecker achieved using matlab wireless channel model simulation, and there is a corresponding test cases can be directly obtained through this source kronecker model H-matrix and its various statistical properties. Platform: |
Size: 1096704 |
Author:展望 |
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Description: The main goal of this work is to provide a unified theory of QSTBCs for four transmit antennas and
one (or more) receive antennas. The thesis consists of two main parts: In the first part we analyze the
QSTBCs transmission without any channel knowledge at the transmitter and in the second part we analyze
transmission with QSTBCs assuming partial channel state (CSI) information at the transmitter.
For both cases, the QSTBCs are studied on spatially correlated and uncorrelated frequency flat MIMO
channels applying a Maximum Likelihood receivers as well as a low complexity linear Zero-Forcing
receivers. The spatial correlation is modelled by the so-called Kronecker Model. Measured indoor channels
are also used in our simulations to show the performance of the QSTBCs in real-world environment Platform: |
Size: 1024 |
Author:hammad |
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Description: This function calculates the ergodic and outage capacity of a MIMO Rayleigh
channel considering no CSIT (equal power allocation) and perfect CSIT
(waterfilling power allocation). In both cases perfect CSIR is assumed. The channel is assumed to be spatially correlated according to a Kronecker model but temporally uncorrelated. Platform: |
Size: 1024 |
Author:Atin Aggarwal |
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Description: This function calculates the ergodic and outage capacity of a MIMO Rayleigh channel considering no CSIT (equal power allocation) and perfect CSIT (waterfilling power allocation). In both cases perfect CSIR is assumed. The channel is assumed to be spatially correlated according to a Kronecker model but temporally uncorrelated. Platform: |
Size: 1024 |
Author:hamed |
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Description: This function calculates the ergodic and outage capacity of a MIMO Rayleigh
channel considering no CSIT (equal power allocation) and perfect CSIT
(waterfilling power allocation). In both cases perfect CSIR is assumed. The channel is assumed to be spatially correlated according to a Kronecker
model but temporally uncorrelated.
Platform: |
Size: 1024 |
Author:amar |
Hits:
Search - kronecker channel model