rashmi ppt

8/18/2019 Rashmi Ppt

1/31

SPECTRUM SENSING IN COGNITIVE RADIONETWORK FOR IEEE 802.11 AND IEEE

802.16PRESENTED BY:RASHMI RAJ

REG NO:-2011066

SUPERVISOR:MR.VIJAY KUMAR SINGH


2/31

CONTENT

• Introduction

• Literature overview

• Objective• Problem Modeling

• Simulation in Matlab

• Problem Solving of MF Techniue• !antt chart

• "eference#


3/31

INT"O$%CTION

COGNITIVE RADIO:-

• CR is an advanced technique which reduce the probe! o"

spectru! scarcit# in eectro!a$netic spectru!%

• The Co$nitive Radio &CR' is a technoo$# which e""icient# utii(es

the icensed spectru! without causin$ an# har! to the icensed user%

• CR can increase spectru! e""icienc# eadin$ to hi$her bandwidth%

• CR consist o" R) "ront end and baseband processor which !oduate*

de!oduate the si$na%

• IEEE +,% is standard "or! o" co$nitive radio&CR'


4/31

CO!NITI&E "'$IO C(CLE


5/31

SPECT"%M SENSIN!


6/31

SPECT"%M SENSIN!

Three Techniques o" .pectru! .ensin$:-/% Ener$# detection&ED'

% 0atched "iter detection&0)'

1% C#costationar# detection&C.D'

ENERGY DETECTION:-

• It is si!pest technique 2aso 3nown as radio!etr#%

• In this !ethod2 the ener$# o" the received si$na is cacuated

which is co!pared a$ainst so!e $iven threshod to deter!ine

the presence or absence o" 45 si$na%

• It does not require prior in"or!ation about si$na2 is a non

co-operative detection technique%


7/31

MATCHED FI!TER:-

• It is a inear "iter and per"or!ance better in ow .NR condition

• Need o" prior 3nowed$e o" the pri!ar# user si$na %

• 0atched "iter per"or!s correation between un3nown si$nas with the3nown si$na%

• The output o" the 0) is then co!pared a$ainst the threshod to decide the

presence or absence o" 45 si$na in the speci"ied band%

Cyclostationary

• A si$na is said to be c#costationar# i" its autocorreation "unction is

periodic in ti!e%

• C#costationar# "eature detection per"or!s better in ow .NR %

• The c#costationar# si$na detection technique is a $ood detection

technique because it per"or!s we with ess in"or!ation about si$na

structure%


8/31

O)*ECTI&E

• The !ain ob6ective o" the thesis is to conduct co!parison o"

Ener$# Detector2 0atch )iter2 C#costationar# Detector

spectru! sensin$ techniques in co$nitive radio%

• The secondar# ob6ective is to incude appication o" IEEE

+,%// and IEEE +,%/7%


9/31

LITE"'T%"E "E&IE+

• Shil,a mehta -.//01 ha# #how the &2$L im,lementation of#,ectrum #en#ing techniue3 ,ro,o#ed b4 u#ing a#imulation tool 5ilin67 The author ob#erve that 89

:7 Probabilit4 of detection increa#e# #igni;cantl4 when #ignal

to noi#e ratio increa#e#7.7 The detection ,robabilit4 decrea#e# when the bandwidth

factor increa#e#7

• Lei 4ang -./::1 ha# ,ro,o#ed c4clo9energ4 detector forthe #,ectrum #en#ing ,roblem ba#ed on the c4clo#tationar4

#ignal anal4#i#7 Thw author found that c4clo 9energ4detector i# better com,ared to c4clo#tationar4 detector


10/31

Contd7

• Paul $7#utton -.//


11/31

• +on94eol lee -./::1 ha# #olved the #,ectrume=cienc4 and interference ,roblem7 )4 $evelo,ingo,timal #,ectrum framewor> he anal4?e thatthrough framewor> ma6imi?ation the #en#ing

e=cienc4 can im,rove and avoid interference7

• Octavia '7 $obre -./::1 ha# ,ro,o#ed a jointdetection and cla##i;cation algorithm for the

mobile +orldwide intero,erabilit4 for Microwave'cce## -+iM'51 and Long term evolution -LTE1#ignal#3 which e6,loit# the #econd9order #ignalc4clo#tationar47

Contd7


12/31

M"#"$"%"#& S'#("#& T"$')*+ D',',"*#


13/31

F%%/ !*&" B('D'"("*#

St i b ildi f l i


14/31

Ste,# in building fu??4 logicba#ed #,ectrum #en#ing

deci#ion• $etermine the in,ut of the #4#tem• $etermine the out,ut of the #4#tem

• Choo#e +ord $e#cri,tion

L mean# ,rimar4 u#er i# not ,re#ent7

M ab#ence of ,rimar4 u#er7

2 mean# ,rimar4 u#er i# ,re#ent7

The de#cri,tion for the #tatu# of out,ut i#

P mean# ,rimar4 u#er i# ,re#ent7

' mean# ,rimar4 u#er i# ab#ent7


15/31

A,"*# T'#

• 'ction to be ta>en i# ba#ed on thefu??4 @If9thenA rule#7

• '##ign in,ut B2 to :3 BM to /7D andBL to /7

• If there #ummation i# greater then:7D then we conclude that ,rimar4u#er i# ,re#ent BP el#e ,rimar4 u#eri# ab#ent B'7

t


16/31

te,# n u ng u??4 og cba#ed #,ectrum #en#ing

deci#ion• A,"*# T '#


17/31

Signal Simulation in Matlab

Values of the parameters to simulate the signal are:-

• SNR = 30db and -30db•W= 1* 10

• ts = 1* 10-!

• N= !* W*ts• "S

! = #"n*10-1$!

• "n!= 1*10-%

•&R promises the se'ondar( users a''ess the spe'trum)hi'h is allo'ated to a primar( user so a+oiding interferen'e

to potential primar( users is a basi' re,uirement .herefore /

ha+e de'ided to dete't the primar( user status through the

'ontinuous spe'trum sensing


18/31

or 30d SNR 2 100 Samples


19/31

or -30d SNR 2 100 Samples


20/31

or 30d SNR 2 !00 Samples


21/31

or -30d SNR 2 !00 Samples


22/31

E#'+&/ ',',*+F*+ 30B SNR 4 100S$5'(


23/31

or -30d SNR 2 100 Samples


24/31

or 30d SNR 2 !00 Samples


25/31

For 9/d) SN" .//Sam,le#


26/31

o)er spe'tral densit(


27/31

4W5R S5&.R67 85NS/.9


28/31

lo) 'hart for /mplement of at'h ilter .e'hni,ue


29/31

!antt Chart -+or> Plan1


30/31

"EFE"ENCES

• '7 !ha#emi and E7 S7 Sou#a3ACollaborative S,ectrum Sen#ing forO,,ortuni#tic 'cce## in Fading EnvironmentA3 in Proc7 IEEE$4SP'N3 ,,7 ::9:G3 Nov7 .//D7

• I7F '>4ildi?3+ Lee3 M7C &uran3 S Mohant43ANe6t !enerationH$4namic #,ectrum acce##Hcognitive radio wirele## networ>#8 '

#urve4A Com,uter Networ># D/-.//G1 .:.9.:D03 Ma4 .//G7• )7 +ild and J7 "amchandran3 A$etecting Primar4 "eceiver# for

Cognitive "adio ',,lication#A3 in Proc7 IEEE $4SP'N3 ,,7 :.K:/3Nov7 .//D7

• N7 2oven7 AOn the Fea#ibilit4 of Cognitive "adioA3 Ma#ter# the#i#%niver#it4 of California at )er>ele47 )er>ele4 C'3 .//D7

• F7 F7 $igham3 M7 S 'louini and M7J Simon3 AOn the energ4detection of un>nown #ignal# over fading channel#A3 in Proc7 IEEEInternational Conference on Communication -ICC//13 ,,7 DD9D03 Ma4 .//7


31/31

rashmi ppt

Documents