doc.: ieee 802.11-04/314r0 submission march 2004 taehyun jeon, etrislide 1 adaptive modulation for...
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![Page 1: Doc.: IEEE 802.11-04/314r0 Submission March 2004 Taehyun Jeon, ETRISlide 1 Adaptive Modulation for MIMO-OFDM Systems Taehyun Jeon, Heejung Yu, and Sok-kyu](https://reader036.vdocument.in/reader036/viewer/2022072006/56649f445503460f94c65892/html5/thumbnails/1.jpg)
March 2004
Taehyun Jeon, ETRI
doc.: IEEE 802.11-04/314r0
Submission Slide 1
Adaptive Modulation for MIMO-OFDM Systems
Taehyun Jeon, Heejung Yu, and Sok-kyu Lee
Next Generation Wireless LAN Research Team, ETRI
Young-Doo Kim and Yong H. Lee
KAIST
![Page 2: Doc.: IEEE 802.11-04/314r0 Submission March 2004 Taehyun Jeon, ETRISlide 1 Adaptive Modulation for MIMO-OFDM Systems Taehyun Jeon, Heejung Yu, and Sok-kyu](https://reader036.vdocument.in/reader036/viewer/2022072006/56649f445503460f94c65892/html5/thumbnails/2.jpg)
March 2004
Taehyun Jeon, ETRI
doc.: IEEE 802.11-04/314r0
Submission Slide 2
Contents
• Adaptive Modulation for MIMO-OFDM– SVD based– Layered detection based
• Simulation results• Conclusion
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March 2004
Taehyun Jeon, ETRI
doc.: IEEE 802.11-04/314r0
Submission Slide 3
Adaptive Modulation for MIMO-OFDM
• Spatial-frequency bit allocation and power assignment for antennas and sub-carriers
• Slow channel variation and channel information is assumed at transmit side for optimal modulation type and power allocation
• Significant performance advantage over non adaptive systems
• SVD based scheme [Raleigh & Cioffi, 1998]• Layered decision based scheme [K.-W. Ng,
2002]
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March 2004
Taehyun Jeon, ETRI
doc.: IEEE 802.11-04/314r0
Submission Slide 4
SVD based scheme (1)
• Signal Model for MIMO System
• Singular Value Decomposition of H
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x1
x2
xM
y1
y2
yMH
Hxy : is M x M MIMO channel matrix is the channel between Tx and Rx antenna
ijhthj
thi
H
HUDVH
V...
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UH
a1
a2
aM
x1
x2
xM
y1
y2
yM
z1
z2
zMH
: and are unitary and
are singular values of
U V
si 'H
),,,( 21 Mdiag D
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March 2004
Taehyun Jeon, ETRI
doc.: IEEE 802.11-04/314r0
Submission Slide 5
SVD based scheme (2)• Transformation of H into M parallel channels
• Bits and Power Allocation for each antenna(M) and sub-carriers(N) based on equivalent channel gains – e.g. Water Pouring Algorithm based on MxN channel gains
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a1
a2
aM
z1
z2
zM
2
M
Spatial Index(Tx antenna)
Frequency Index(Subcarrier)
m
n
. . . . . .
. . .
. . .
subcarrier and antenna
for gain channel equivalent
thth
mn
nm
:
Hxy
xUDVy HSVD of H
Precoding
DayU H
Postcoding
Daz
M parallel channels withequivalent channel gain
Mtoiaz iii 1, i
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March 2004
Taehyun Jeon, ETRI
doc.: IEEE 802.11-04/314r0
Submission Slide 6
Layered Detection based scheme (1)
• Review of detection process (V-BLAST case)– Start ith iteration– Step 1: Compute the nulling matrix W
• For ZF criteria :
– Step 2: Find the layer with max. SNR• , SNR ~
– Step 3: Detection for chosen layer (kith layer)
•
– Step 4: Cancellation of effect by chosen layer• •
– Step 4: Repeat above steps for next layer
HHHW 1)( H
1kw
}{ˆ ywH
kk ii decisionx
ii kkx̂hyy
][111 Tkk ii hhhhH
}{minarg1 k
k
ik w
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March 2004
Taehyun Jeon, ETRI
doc.: IEEE 802.11-04/314r0
Submission Slide 7
Layered Detection based scheme (2)
• Determination of channel gain for each layer– Layer selection order affects the performance
• e.g. choose the layer following the descending or ascending order of SNR
– Equivalent channel gain can be obtained based on the chosen nulling vector •
• Bits and Power Allocation for MxN flat fading channels
1
ikwGain Channel Equivalent
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March 2004
Taehyun Jeon, ETRI
doc.: IEEE 802.11-04/314r0
Submission Slide 8
Layered Detection based scheme (3)
Layered detection basedAdaptive Modulator
Tx Data
IFFT
IFFT
IFFT
CPInsertion
CPInsertion
CPInsertion
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Layered detection basedAdaptive Demodulator
Rx Data
FFT
FFT
FFT
CPRemoval
CPRemoval
CPRemoval
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Bit and PowerAllocation
Channel Estimator
Bit Allocation
info.
MIMO Channel
![Page 9: Doc.: IEEE 802.11-04/314r0 Submission March 2004 Taehyun Jeon, ETRISlide 1 Adaptive Modulation for MIMO-OFDM Systems Taehyun Jeon, Heejung Yu, and Sok-kyu](https://reader036.vdocument.in/reader036/viewer/2022072006/56649f445503460f94c65892/html5/thumbnails/9.jpg)
March 2004
Taehyun Jeon, ETRI
doc.: IEEE 802.11-04/314r0
Submission Slide 9
Simulation Parameters• IEEE 802.11a PHY Based Frame• Number of Subcarriers (data subcarriers): 64 (48)• Number of Cyclic Prefix: 16• Sampling Rate: 20MHz• Modulation: QPSK, 16QAM
– Greedy algorithm applied for bit and power allocation– QPSK for non-adaptive scheme
• Number of Tx and Rx Antennas: 4x4• Channel Coding: None• Target Data Rate: 96Mbps• Channel Model: Independent MIMO Channel
– ETSI/BRAN Channel Model B (RMS Delay Spread = 100ns)– Quasi Static Channel (no change within one frame)– Perfect Channel Estimations
![Page 10: Doc.: IEEE 802.11-04/314r0 Submission March 2004 Taehyun Jeon, ETRISlide 1 Adaptive Modulation for MIMO-OFDM Systems Taehyun Jeon, Heejung Yu, and Sok-kyu](https://reader036.vdocument.in/reader036/viewer/2022072006/56649f445503460f94c65892/html5/thumbnails/10.jpg)
March 2004
Taehyun Jeon, ETRI
doc.: IEEE 802.11-04/314r0
Submission Slide 10
Simulation Results
1.0E- 04
1.0E- 03
1.0E- 02
1.0E- 01
- 4 - 2 0 2 4 6 8 10
Eb/No per Rx antenna (dB)
BE
R
Non- AdaptiveSVDAscending OrderDescending Order
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March 2004
Taehyun Jeon, ETRI
doc.: IEEE 802.11-04/314r0
Submission Slide 11
Conclusions
• Adaptive MIMO-OFDM Systems are reviewed: SVD and Layered detection based
• Simulation results show significant performance improvement over non-adaptive scheme
• Further consideration needed for feedback mechanism of channel information when the channel is asymmetric