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Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB Speaker: 王王王 Professor: 王王王王王 date:

Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

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Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB. Speaker: 王貞傑 Professor: 吳仁銘教授 date: 2007. 06. 01. Outline. Introduction to cognitive radio in ultra wideband AIC algorithm Simulation Conclusion. - PowerPoint PPT Presentation

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Page 1: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Speaker: 王貞傑Professor: 吳仁銘教授 date: 2007. 06. 01

Page 2: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Outline

Introduction to cognitive radio in ultra wideband

AIC algorithm Simulation Conclusion

Page 3: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Introduction to cognitive radio

Page 4: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Spectrum utilization

Page 5: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Resource :spectrum

UWB : 3.1-10.6 GHz

Wimax : 3.3-3.8 GHz ,5.4-5.825 GHz

IEEE802.11a : 4.9 -5.85 GHz

Page 6: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Employ multi-band orthogonal frequency division multiplexing (MB-OFDM)

Page 7: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Cognitive Radio object1) highly reliable communication

2) efficient utilization of the radio spectrum

“Cognitive Radio” does what?1) sense the spectral environment over a wide available band

2) use the spectrum only if communication does not interfere with licensed user.

multiple signal dimensions : time, frequency, physical space, and user networks

Page 8: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

“Cognitive Radio” Task1) Radio-scene analysis

2) Channel-state estimation and predictive modeling

3) Transmit-power control and dynamic spectrum management

=> feedback

Page 9: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Interference avoidance method Non-rectangular windows Active interference canceling (AIC)

Page 10: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

AIC algorithm

Page 11: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

turning off the interfering tones: the inter-carrier interference may limit the notch depth to 5-10 dB

AIC (active interference cancellation tones)

Page 12: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Over-sampling

Why over-sampling MB-OFDM based interference Over-sampling rate = r

127

0

)128

2exp()()(k

nkjkXnx

127

0

)128

2exp()(128

1)(

n r

lnjnxlY

]127,0[n

)]1128(,0[ rl

Page 13: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

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127

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))(128

2exp(),(n r

lk

njklP

)]1128(,0[ rl

)]1128(,0[ rl

]127,0[k

Page 14: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

gPd 1

11 dhP

1111

1

11 dWdPPPh TT

TXXXXg )]127()89(00000)83()0([ TrXrXrXrXrXd )]186()86()185()85()184([1

)88:84,186:184(1 rrPPT

XXXXXh

)88()87()86()85()84(

^^^^^

Page 15: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

1111

1

11 dWdPPPh TT

gWPgWh 21

2

112 dhPe Minimization

Page 16: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

MIMO AIC

Page 17: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

121 dgPgP

12211 dhPhP

TXXXXg )]127()89(00000)83()0([1 TYYYYg )]127()89(00000)83()0([2

TrXrXrXrXrXd )]186()86()185()85()184([1

Page 18: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

01221111

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dhPhPPh

e H

01221122

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dhPhPPh

e H

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122112 dhPhPe Minimization

Page 19: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

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Page 20: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

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Page 21: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

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Page 22: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

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Page 23: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

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Page 24: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

唯一解 :利用錯開頻帶,來消除所要干擾主要頻帶的訊號,頻帶間不重複利用,否則 det =0頻帶間有重複 (overlap) ,則造成有無限多組解

Page 25: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Simulation

Page 26: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Picture parameter Axis explanation & Input Parameter

re-sampling rate Vs AIC number Turn-off Vs AIC with different re-sampling rate

Comparison in different re-sampling rate Different protected sub-carriers MIMO AIC

Page 27: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Axis explanation:• X-axis : sub-carrier index ( over-sampling )• Y-axis: power spectrum

Input :• QPSK ( a + j*b )• Random• Number of fft =128

]1,1[, ba

Page 28: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Parameter: over-sampling rate ( r ) protect-band sub-carriers AIC number

Page 29: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Picture parameter Axis explanation & Input Parameter

re-sampling rate Vs AIC number Turn-off Vs AIC with different re-sampling rate

Comparison in different re-sampling rate Different protected sub-carriers MIMO AIC

Page 30: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Protected spectrum 3 sub-carriers R=2 Turn-off

Page 31: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

160 165 170 175 180 185 190 195 200

10

20

30

40

50

60

Power spectrum of 3 -tone cancellation

150 155 160 165 170 175 180 185 190 19510

20

30

40

50

60

70

Power spectrum of 5 -tone cancellation

120 140 160 180 200 220

-20

0

20

40

60

80

100

120Power spectrum of 7 -tone cancellation

155 160 165 170 175 180 185 190 195 200

10

20

30

40

50

60

Power spectrum of 9 -tone cancellation

Page 32: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Protected spectrum 3 sub-carriers R=2 AIC

Page 33: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

0 50 100 150 200 250 300-10

0

10

20

30

40

50

60Power spectrum after AIC of 3 tones

0 50 100 150 200 250 300-300

-250

-200

-150

-100

-50

0

50

100Power spectrum after AIC of 5 tones

Page 34: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

0 50 100 150 200 250 300-350

-300

-250

-200

-150

-100

-50

0

50

100Power spectrum after AIC of 7 tones

With using 5 tones of AIC, It reaches the best performance.

more than 5 tones, e.g. 7 tones, performance goes back.

Page 35: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Protected spectrum 3 sub-carriers R=3 Turn-off

Page 36: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

240 250 260 270 280 290

10

20

30

40

50

60

70Power spectrum of 3 -tone cancellation

240 250 260 270 280 290

30

40

50

60

70

80

Power spectrum of 5 -tone cancellation

240 250 260 270 280 290

10

20

30

40

50

60

Power spectrum of 7 -tone cancellation

230 240 250 260 270 280 290

0

10

20

30

40

50

Power spectrum of 9 -tone cancellation

Page 37: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Protected spectrum 3 sub-carriers R=3 AIC

Page 38: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

0 50 100 150 200 250 300 350 40015

20

25

30

35

40

45

50

55Power spectrum after AIC of 3 tones

0 50 100 150 200 250 300 350 400-30

-20

-10

0

10

20

30

40

50

60Power spectrum after AIC of 5 tones

Page 39: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

0 50 100 150 200 250 300 350 400-300

-250

-200

-150

-100

-50

0

50

100Power spectrum after AIC of 7 tones

0 50 100 150 200 250 300 350 400-300

-250

-200

-150

-100

-50

0

50

100Power spectrum after AIC of 9 tones

With using 7 tones of AIC, It reaches the best performance.

more than 7 tones, e.g. 9 tones, performance goes back.

Page 40: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Protected spectrum 3 sub-carriers R=4 AIC

Page 41: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

0 100 200 300 400 500 6005

10

15

20

25

30

35

40

45

50

55Power spectrum after AIC of 3 tones

0 100 200 300 400 500 600-20

-10

0

10

20

30

40

50

60Power spectrum after AIC of 5 tones

0 100 200 300 400 500 600-80

-60

-40

-20

0

20

40

60Power spectrum after AIC of 7 tones

0 100 200 300 400 500 600-250

-200

-150

-100

-50

0

50

100Power spectrum after AIC of 9 tones

Page 42: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

0 100 200 300 400 500 600-250

-200

-150

-100

-50

0

50

100Power spectrum after AIC of 11 tones

With using 9 tones of AIC, It reaches the best performance.

more than 9 tones, e.g. 11 tones, performance goes back.

Page 43: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

0 100 200 300 400 500 600 700-120

-100

-80

-60

-40

-20

0

20

40

60

80Power spectrum after AIC of 9 tones

Protected spectrum 3 sub-carriersAICR=5 best in 9 tones

Protected spectrum 3 sub-carriersAICR=6 best in 9 tones

0 100 200 300 400 500 600 700 800-140

-120

-100

-80

-60

-40

-20

0

20

40

60Power spectrum after AIC of 9 tones

Page 44: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Protected spectrum 3 sub-carriersAICR=7 best in 9 tones

Protected spectrum 3 sub-carriersAICR=8 best in 11 tones

0 100 200 300 400 500 600 700 800 900-100

-80

-60

-40

-20

0

20

40

60Power spectrum after AIC of 9 tones

0 200 400 600 800 1000 1200-150

-100

-50

0

50

100Power spectrum after AIC of 11 tones

Page 45: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

1500 2000 2500 3000 3500 4000 4500 5000 5500 6000 6500 7000-100

-80

-60

-40

-20

0

20

40

60

80

Power spectrum after AIC of 11 tones

Protected spectrum 3 sub-carriersAICR=100 best in 11 tones

Protected spectrum 3 sub-carriersAICR=50 best in 11 tones

4000 5000 6000 7000 8000 9000 10000 11000 12000 13000 14000

-140

-120

-100

-80

-60

-40

-20

0

20

40

Power spectrum after AIC of 11 tones

Page 46: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

#AIC 3 5 7 9 11

r 1 2 3 4 8

Page 47: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Picture parameter Axis explanation & Input Parameter

re-sampling rate Vs AIC number Turn-off Vs AIC with different re-sampling rate

Comparison in different re-sampling rate Different protected sub-carriers MIMO AIC

Page 48: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Comparison in different re-sampling rate(1/4)

R=2 R=3

0 50 100 150 200 250 300-300

-250

-200

-150

-100

-50

0

50

100Power spectrum after AIC of 5 tones

0 50 100 150 200 250 300 350 400-300

-250

-200

-150

-100

-50

0

50

100Power spectrum after AIC of 7 tones

Page 49: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Comparison in different re-sampling rate(2/4)

R= 4 R=5

0 100 200 300 400 500 600-250

-200

-150

-100

-50

0

50

100Power spectrum after AIC of 9 tones

0 100 200 300 400 500 600 700-120

-100

-80

-60

-40

-20

0

20

40

60

80Power spectrum after AIC of 9 tones

Page 50: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Comparison in different re-sampling rate(3/4)

R=6 R=7

0 100 200 300 400 500 600 700 800-140

-120

-100

-80

-60

-40

-20

0

20

40

60Power spectrum after AIC of 9 tones

0 100 200 300 400 500 600 700 800 900-100

-80

-60

-40

-20

0

20

40

60Power spectrum after AIC of 9 tones

Page 51: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Comparison in different re-sampling rate(4/4)

R=8

0 200 400 600 800 1000 1200-150

-100

-50

0

50

100Power spectrum after AIC of 11 tones

Page 52: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Picture parameter Axis explanation & Input Parameter

re-sampling rate Vs AIC number Turn-off Vs AIC with different re-sampling rate

Comparison in different re-sampling rate Different protected sub-carriers MIMO AIC

Page 53: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

0 100 200 300 400 500 600-250

-200

-150

-100

-50

0

50

100Power spectrum after AIC of 9 tones

100 150 200 250 300 350 400 450 500 550

-80

-60

-40

-20

0

20

40

60

80

100Power spectrum after AIC of 13 tones

Protected spectrum 3 sub-carriersAICR=4

Protected spectrum 5 sub-carriersAICR=4

Page 54: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Protected spectrum 7 sub-carriersAICR=4

Protected spectrum 9 sub-carriersAICR=4

0 100 200 300 400 500 600-100

-80

-60

-40

-20

0

20

40

60

80Power spectrum after AIC of 15 tones

150 200 250 300 350 400 450 500 550

-120

-100

-80

-60

-40

-20

0

20

40

60

Power spectrum after AIC of 19 tones

Page 55: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Protected spectrum 11 sub-carriersAICR=4

Protected spectrum 13 sub-carriersAICR=4

0 100 200 300 400 500 600-120

-100

-80

-60

-40

-20

0

20

40

60

80Power spectrum after AIC of 21 tones

0 100 200 300 400 500 600-100

-80

-60

-40

-20

0

20

40

60

80Power spectrum after AIC of 23 tones

Page 56: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Picture parameter Axis explanation & Input Parameter

re-sampling rate Vs AIC number Turn-off Vs AIC with different re-sampling rate

Comparison in different re-sampling rate Different protected sub-carriers MIMO AIC

Page 57: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

2Tx AIC

Protected spectrum 4 sub-carriers R=4 AIC 6 sub-carriers

Channel?

No

Page 58: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

2Tx AIC

250 300 350 400 450

-20

0

20

40

60

80

100

120

250 300 350 400 450

-40

-20

0

20

40

60

80

100

300 350 400-60

-40

-20

0

20

40

60

300 350 400

-60

-40

-20

0

20

40

60

Page 59: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Conclusion

AIC 壓縮能力大約 100 ~ 130 dB AIC sub-carrier 不是越多越好,適用即可。越遠

的 sub-carrier 影響越小。

Page 60: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Reference

Hirohisa Yamaguchi ,“ Active Interference Cancellation Technique for MB-OFDM Cognitive Radio” 2004

Danijela Cabric, Shridhar Mubaraq Mishra, Robert W. Brodersen, “ Implementation Issues in Spectrum Sensing for Cognitive Radios”

J. Mitola III, “Cognitive radio for flexible mobile multimedia communications,” in 1999 IEEE International Workshop on Mobile Multimedia Communications, 15-17 Nov. 1999, pp. 3-10.

J. Mitola III, “Cognitive radio an integrated agent architecture for software defined radio,” PHD thesis, KTH Royal Institute of Technology, Stockholm, Sweden, 2000.

Federal Communications Commission, “ Spectrum Policy Task Force ,”Rep. ET Docket no. 02-135, Nov. 2002.

Page 61: Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB

Simon Haykin , “Cognitive Radio: Brain-Empowered Wireless Communications” IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 23, NO. 2, FEBRUARY 2005