cognitive radio.ppt

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  • To Simulate Cognitive Radio System which is so effective that it can harvest more band-width in highly desired bands than is currently in use!

    More than in use by cellular systems More than in use by unlicensed bands More than in use by private mobile systems

    This represents a paradigm shift in technology!

  • Todays radio systems are not aware of their radio spectrum environment and operate in a specific frequency band.In some locations or some times of the day, 70 percent of the allocated spectrum may be sitting idle. New bandwidth-intensive wireless services are being offered.Unlicensed users constrained to a few overloaded bandsIncreasing number of users.This growth requires more spectral bandwidth to satisfy the demand.

  • Intelligent radio that uses spectrum licensed to other users when they aren't using it. Bandwidth HarvestingIt is a software-designed radio with cognitive software.CR can sense the environment.CR adapts its way of communication to minimize the caused interference.CR coexists with the primary user (using the same frequency band) in two ways: Concurrent and Opportunistic.

    Figure: A four-nodes wireless sensor network scenario.

  • Full Cognitive Radios do not exist at the moment and are not likely to emerge until 2030.Requires practical implementation of fully flexible SDR technologies and the intelligence required to exploit them cognitively.But, true cognition and fully flexible radios may not be needed.Simple intelligence and basic reconfigurability at the physical layer could provide significant benefits over traditional types of radio.CR prototypes to emerge within the next five years.Some devices are already in use like WLANs

  • Dynamic Spectrum Access ( DSA )To fill the spectral holes with secondary users data.

  • Fc1 = 1000; Fc2 = 2000; Fc3 = 3000; Fc4 = 4000; Fc5 = 5000; Fs = 12000;x1 = cos(2*pi*1000*t);

    in_p = input('\nDo you want to enter first primary user Y/N: ','s'); if(in_p == 'Y' | in_p == 'y') y1 = ammod(x1,Fc1,Fs); end::: in_p = input('Do you want to enter fifth primary user Y/N: ','s'); if(in_p == 'Y' | in_p == 'y') y5 = ammod(x1,Fc5,Fs); end

    y = y1 + y2 + y3 + y4 + y5;

    Pxx = periodogram(y); Hpsd = dspdata.psd(Pxx,'Fs',Fs); plot(Hpsd);

  • in_p = input('\nDo you want to enter a secondary user Y/N: ','s'); if(in_p == 'Y' | in_p == 'y') chek1 = Pxx(25)*10000; chek2 = Pxx(46)*10000; chek3 = Pxx(62)*10000;

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    ::: else disp('all user slots in use. try again later,'); end

  • inp_t=input('do u want to empty a slot: ','s'); if(inp_t=='Y'|inp_t=='y') inp_t=input('which slot do u want to empty for ur entry: ','s'); switch(inp_t) case ('1') y1=0; disp('slot1 is fired'); y = y1 + y2 + y3 + y4 + y5;case('2') y2=0; disp('slot2 is fired'); y = y1 + y2 + y3 + y4 + y5; : : :otherwise disp('invalid slot entered'); end

  • inp_t=input('do u want to add noise: ','s'); if(inp_t=='y'|inp_t=='Y') d = input('Enter the SNR in dB: '); figure Y = awgn(y,d); Pxx1 = periodogram(Y);

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    tm = 1-tem; Z = y.*tm; disp('attenuating'); grid on plot(Z);

  • Data assigned Allocated / Used Spectrum BandUn-allocated Bands / Spectrum Holes

  • Left over Spectral GapsSpectral Gap Filled by modulating the new incoming users data over it

  • Mobile multimedia downloads which require moderate data ratesEmergency communications services that require a moderate data rate and localized coverage (for example, video transmission from firemens helmets);Broadband wireless networking (for example, using nomadic laptops), which needs high data rates, but where users may be satisfied with localized hot spot services;Multimedia wireless networking services (e.g. audio/video distribution within homes) requiring high data rates.

  • www.intcube.com/forum for requesting the complete project