Simulation of Third Generation CDMA Systems - Virginia Tech

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4.3 Coded SystemA test case of error correction coding was implemented for an uplink voiceapplication that has a data rate of 9.6 kbps. A rate 1/3 constraint length 9 convolutionalcoding was employed at the transmitter. A Viterbi soft decision decoder was used at thereceiver. We did not implement any error detection scheme or interleaving with that. Thefollowing figure shows the encoder used at the transmitter:Output 0G0=557 OCTInputD D D D D D D DOutput 1G1=663 OCTOutput 2G0=711 OCTFigure 4.9: Convolutional Coding SchemeThe data rate out of the vocoder is 8 kbps for a voice service of 9.6 kbps. So there are80 data bits in a frame of 10 ms. 16 more bits are added with each frame as CyclicRedundancy Check (CRC). So we have 96 bits for each 10 ms frame resulting in an uncodeddata rate of 9.6 kbps. The number of tail bits to be added is decided as one less than the66
constraint length. So for a constraint length 9 convolutional coding 8 tail bits are added. So ifthe code rate is 1/3, Code frame size = ( 96 + 8) 3 = 312 bitsThe closest frame size available is 300 bits. So 12 bits are punctured at each frame toperform rate matching. A frame size of 300 bits corresponds to a spreading factor of 128.The following figures show the Frame Error Rate (FER) curves along with BERcurves for the coded system:10 0 E b/N 0BERFER10 -1BER/FER10 -210 -30 0.5 1 1.5 2 2.5Figure 4.10: Uplink Performance for the 9.6 kbps Voice Service in Indoor Channel.(Constraint Length 9, Rate 1/3 Convolutional Coding is Used.)67
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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
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Channelization Code(C D )cos(ω c t
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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 and 72: 10 0 Number of Interfererssf=32sf=1
Page 73 and 74: 10 0 E b/N 00 interferer2 interfere
Page 75: 10 -1 Number of InterferersBER10 -2
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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