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Vinod Raj Prajapat
14116075
ECE
1/16
MIMO Technology
MIMO
MISO SIMO
2/16
MIMO System model
Transmit
Vector
MIMO Channel Received vector
3
X1
X2
X3
.
.
XM
Y1
Y2
.
.
YN
M*1 Matrix N*1 Matrix
N*M Matrix
3/16
Y=hx+n
4/16
Why not single
antennas?
5/16
6/16
Issues in wireless communication
 Channel Capacity :- Shannon-Hartley Theorem
C=B*log2(1+SNR)
 Quality of Signal
7/16
MIMO Technologies
 1 MIMO Diversity Technology
 2 MIMO Spatial Multiplexing Technology
8/16
MIMO Diversity
 Diversity = NT*NR
9/16
Spatial Technique
 Similar to OFDM
 Degree of freedom
= min(NT,NR)
 No additional cost of
Bandwidth
10/16
Combination of Multiplexing
and Diversity Gain
For 6*4 model of antenna
Case 1:
Reliable Mode
Multiplexing Rate = 2
Diversity Gain = 3x2 = 6
11/16
For a 6*4 antenaa
Case 2:
High Rate Mode –
Multiplexing Rate = 3 –
Diversity Gain = 2x1 = 2
12/16
Advantages
 MIMO – implemented using diversity techniques –
provides diversity gain – Aimed at improving the
reliability
 MIMO – implemented using spatial-multiplexing
techniques – provides degrees of
freedom or multiplexing gain – Aimed
at improving the data rate of the system
13/16
MIMO Capacity
 Capacity of MIMO system:
C=n*B*log2(1+SNR)
14
14/16
APPLICATION
 HSPA + 3G
 WIMAX
 LTE4G (OFDM+MIMO)
15/16
Thank you
16/16

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Accelerate your Kubernetes clusters with Varnish Caching
 

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