Description: 这个程序实现了对一个各态遍历，服从瑞利分布的mimo信道传输容量的计算。-This procedure achieved a traversal of the state, subject to Rayleigh distribution of MIMO channel transmission capacity calculations. Platform: |
Size: 1024 |
Author:jiayongchang |
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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: We investigate the case of independent Rayleigh faded paths between antenna elements and find that with
high probability extraordinary capacity is available. Compared to the baseline n = 1 case, which by Shannon’s
classical formula scales as one more bit/cycle for every 3 dB of signaltonoise
ratio (SNR) increase, remarkably
withMEAs, the scaling is almost like n more bits/cycle for each 3 dB increase in SNR. To illustrate how great this
capacity is, even for small n, take the cases n = 2, 4 and 16 at an average received SNR of 21 dB. For over 99
of the channels the capacity is about 7, 19 and 88 bits/cycle respectively, while if n = 1 there is only about 1.2
bit/cycle at the 99 level. For say a symbol rate equal to the channel bandwith, since it is the bits/symbol/dimension
that is relevant for signal constellations, these higher capacities are not unreasonable. The 19 bits/cycle for n = 4
amounts to 4.75 bits/symbol/dimension while 88 bits/cycle for n = 16 amounts to 5.5 bits/symbol/dimension. Platform: |
Size: 396288 |
Author:greg |
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Description: Ergodic Capacity, Capacity Distribution and
Outage Capacity of MIMO Time-Varying and
Frequency-Selective Rayleigh Fading Channels Platform: |
Size: 313344 |
Author:sun2012flower |
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Description: ERGODIC CAPACITY OF SPATIAL MULTIPLEXING MIMO SYSTEMS WITH ZF
RECEIVERS FOR LOG-NORMAL SHADOWING AND RAYLEIGH FADING
CHANNELS Platform: |
Size: 285696 |
Author:thefar2012star |
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Search - Rayleigh capacity