Simulation of Third Generation CDMA Systems - Virginia Tech

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4.2 Downlink Simulation ResultsBER performance at the downlink is presented in this section. The following figuresillustrates the BER vs E b /N 0 curves at the downlink for different number of interfering users.The simulation resolution is 5 samples per chip. BER for both Indoor channel and VehicularA Outdoor channel is shown. The spreading factor is 32. We assume that the signals for allthe users are transmitted at equal power.10 0 E b/N 010 -110 -2BER10 -310 -40 interferer2 interferers4 interferers8 interferers12 interferers10 -50 2 4 6 8 10 12Figure 4.5: BER vs E b /N 0 at the WCDMA Downlink for Indoor Channel.(The Spreading Factor of the User is 32. The Number of Interferers Vary from 0 to 12)62
10 0 E b/N 00 interferer2 interferers4 interferers8 interferers12 interferers10 -1BER10 -210 -30 2 4 6 8 10 12Figure 4.6: BER vs E b /N 0 at the WCDMA Downlink for Vehicular A Outdoor Channel.(The Spreading Factor of the User is 32. The Number of Interferers Vary from 0 to 12)As in the uplink, the system is interference limited at the downlink for higher numberof interfering users. However, since the users are synchronized, the orthogonality amongusers is better at the downlink.Figure 4.7 and 4.8 show the BER vs Number of interfering users. The SNR is fixed at12 dB. As before, the simulation resolution is 5 samples per chip for both the channels.63
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Simulation of Third Generation CDMA
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AcknowledgmentsI would like to expr
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2.9.2. Transmit Diversity Schemes2.
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List of Tables1.1 3G Data Rate Requ
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3.9 Implementation of Pulse shaping
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Chapter 1IntroductionThe goal for t
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1.3 Third Generation Cellular Syste
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1.4. WCDMA: Air Interface for 3GOne
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1.4.2 WCDMA Key Technical Character
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Chapter 2WCDMA Physical LayerThis c
Page 21 and 22: Channelization Code(C D )cos(ω c t
Page 23 and 24: DataPilotTFCI FBI TPCT slot =2560 c
Page 25 and 26: 2.4 Uplink Spreading CodesThe sprea
Page 27 and 28: Figure 2.6: Auto-correlation for Tw
Page 29 and 30: The following block diagram shows t
Page 31 and 32: 0.180.160.140.12Probabilty Density0
Page 33 and 34: ar( 0) = 2vr( 0) + 1 (2.12)mod 4ar(
Page 35 and 36: 2.8 Channel CodingThe main purpose
Page 37 and 38: 2.9.2 Transmit Diversity SchemesTra
Page 39 and 40: These differences will become evide
Page 41 and 42: Dtoffset = 2 (3.15)cHere c is the v
Page 43 and 44: Each ray is split into two rays, on
Page 45 and 46: The pass-band of the pulse shaping
Page 47 and 48: The Rayleigh waveform is generated
Page 49 and 50: This expression can be used directl
Page 51 and 52: e -jϕ1FrameAlignmentResamplingDesc
Page 53 and 54: 3.2.7 BER CounterThe bit error rate
Page 55 and 56: (t)R i ’(t)R i (t)e -jϕ i C SC *
Page 57 and 58: IT+ τT + τi i i I iτ iτ iiiz =
Page 59 and 60: 3.3.2 MAI for DownlinkThe MAI in th
Page 61 and 62: menu is provided which gives the op
Page 63 and 64: up_sim.mpar_up.mat ovsf_gen.m scram
Page 65 and 66: 3.6 Code OptimizationThe simulator
Page 67 and 68: Chapter 4Simulation ResultsThis cha
Page 69 and 70: 10 0 E b/N 010 -1BER10 -210 -30 int
Page 71: 10 0 Number of Interfererssf=32sf=1
Page 75 and 76: 10 -1 Number of InterferersBER10 -2
Page 77 and 78: constraint length. So for a constra
Page 79 and 80: Table 4.1: Performance Improvement
Page 81 and 82: channel model based on measurement
Page 83 and 84: [7] Kevin Laird, Nick Whinnet, and
Page 85: VitaFakhrul Alam was born in Dhaka,
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