Voice capacity in CDMA 2000 1xRTT systems - PowerPoint PPT Presentation

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Voice capacity in CDMA 2000 1xRTT systems

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Eb/No =7dB. Number of users between 1 and 50. Cell Radius = 1km ... Scatter plot of path loss and distance for a macro cell when the base antenna height was 25m. ... – PowerPoint PPT presentation

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Title: Voice capacity in CDMA 2000 1xRTT systems


1
Voice capacity in CDMA 2000 1xRTT systems
Term project (COE-543) By S.M.Rehman 230419.
2
Outline
  • Introduction
  • Advantages of CDMA systems
  • Propagation Loss Models
  • Parameters considered
  • Plan of action
  • Simulated results
  • Future work
  • Conclusions

3
Introduction.
  • Code Division Multiple Access (CDMA) is a viable
    cellular system alternative to both
    frequency-division multiple access (FDMA) and
    time-division multiple access (TDMA) technologies
    .
  • CDMA falls under the category of spread
    spectrums.
  • Code Division Multiple Access (CDMA) is receiving
    considerable attention as a major contender in
    the upcoming 3G wireless standard development.

4
Introduction (Contd)
  • CDMA 2000 1xRTT is a 3G wireless technology based
    on CDMA platform. The 1x in 1xRTT refers to 1x
    the number of 1.25MHz channels. The RTT stands
    for Radio Transmission Technology.
  • 1xRTT is forward link synchronous with 1.2288 MHz
    chipping, and is an evolution of IS-95.

5
Contd.
  • 3G systems were also designed to increase voice
    capacity over 2G by various forward and reverse
    link improvements. These include
  • fast forward link power control,
  • bandwidth efficient modulation,
  • lower rate coding and
  • reverse link pilot assisted coherent
    demodulation.

6
Advantages of CDMA systems
  • Universal one-cell frequency reuse
  • Narrow band interference rejection
  • Inherent multipath diversity
  • Soft hand-off capability
  • Soft capacity limit
  • Improved Channel Capacity.

7
Propagation models
  • For any wireless communication system , the first
    important step is to design the radio link.This
    is required to determine the base station density
    in different environments as well as the
    corresponding radio coverage.
  • One of the most important considerations in the
    radio coverage planning process is the
    propagation model. The accuracy of the prediction
    by a particular model depends on its ability to
    account for the detailed terrain, vegetation, and
    buildings.

8
Contd.
  • Propagation models are used to determine how many
    base stations are required to provide the
    coverage requirements needed for the network.
  • The performance of the network is affected by the
    propagation model chosen because it is used for
    interference predictions.
  • The propagation model is also used in other
    system performance aspects including handoff
    optimization, power level adjustments, and
    antenna placements.

9
Most important radio propagation characteristics
  • Achievable Signal Coverage,
  • The maximum data rate that can be supported by
    channel, and
  • The rate of fluctuations in the channel.

10
Definition
  • Propagation models that predict the mean signal
    strength for an arbitrary transmitter-receiver
    separation distance, useful in estimating the
    radio coverage area of a a transmitter are called
    large scale propagation models.
  • Propagation models that characterize the rapid
    fluctuations of the RSS over very short travel
    distances or short time durations are called
    small scale or fading models.

11
Path Loss
  • Radio transmission in a mobile communication
    system often takes place over irregular terrain
    .The terrain profile of a particular area needs
    to be take into account for estimating the path
    loss.
  • Path Loss which represents signal attenuation is
    a positive quantity measured in decibels (dB),is
    defined as the difference between the effective
    transmitted power and the received power.

12
Path Loss (Contd)
  • Some of the commonly used propagation models are
  • Longley Rice Model
  • Durkins Model
  • Okumura Model,
  • Hata Model
  • PCS extension of Hata model
  • Walfisch Bertoni Model
  • Wideband PCS micro cell Model.

13
Hata model
  • For signal strength prediction and simulation in
    macro cellular environments, the Hata Model is
    widely used.
  • The Hata model is an empirical formulation of the
    graphical path loss data provided by Okumura, and
    is valid from 150 MHz to 1500 MHz.
  • Hata presented the urban area propagation loss as
    a standard formula and supplied correction
    equations for application to other situations.

14
Hata formula
  • The standard formula for median path loss in
    urban areas is given by
  • L50 (urban)dB 69.55 26.16logf c- 13.82
    log(hte) a(hre) 44.9 -6.55 log(hte) log(d) .
  • where, fc is the frequency in MHz from 150MHz
    to 1500MHz,
  • hte is the effective transmitter antenna
    height(meters) ranging from 30m to 200m, hre is
    the effective receiver antenna height(meters)
    ranging from 1m to 10m,
  • d is the T-R separation distance(km) and
    a(hre) is the correction factor for effective
    mobile antenna height which is a function of the
    size of the coverage area .

15
Contd..
  • For a small or medium sized city the correction
    factor is given by
  • a(hre) (1.1log fc 0.7)hre (1.56log
    fc-0.8)dB
  • The Free Space Path loss equation is given by
  • L (free) 32.4 20logfc 20log (d).
  • The average received power at the mobile station
    is calculated as
  • Pr(d) EIRP(dBm) - L(urban)(dB) Gr(dB)
  • Where EIRP is the Effective Isotropic Radiated
    Power (1 kw) and Gr is the gain of the
  • receiving antenna.

16
  • This model is well suited for large cell mobile
    systems, but not personal communication systems
    which have cells on the order of 1km radius.

17
Parameters Considered
  • Bandwidth of 1xRTT systems
    1.25MHz.
  • Orthogonality factor
    0.8
  • Totoal transmitted Power 24
    w
  • Fraction of overhead
    0.2
  • Eb/No
    7dB
  • Number of users between 1 and 50.
  • Cell Radius
    1km
  • Frequency 1500MHz, Height of base station and
    Height of mobile station equal to 50m 3m
    respectively.

18
Simulated Results using Matlab
Frequency Number of users Radius (Km) Eb/No (dB) Rate (kbps)
1500 100 2 7 4.8
19
Rate (kbps) Eb/No (dB) Radius (Km) Number of users Frequency (MHz)
4.8 7 6 50 1500
20
Results Contd..
Rate (kbps) Eb/No (dB) Radius (Km) Number of users Frequency (MHz)
9.6 7 2 50 1500
21
Contd..
Rate (kbps) Eb/No (dB) Radius (Km) Number of users Frequency (MHz)
9.6 7 2 50 200
22
Contd..
Rate (kbps) Eb/No (dB) Radius (Km) Number of users Frequency (MHz)
19.2 7 2 50 200
23
Scatter plot of path loss and distance for a
macro cell when the base antenna height was 25m.
24
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25
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26
Future Work
  • It is possible to extend the study by comparing
    other Propagation Loss Prediction Models like the
  • Walfisch-Bertoni Model to investigate
    microcellular environments,effects of structure
    of the buildings etc. to get a better
    understanding on the factors effecting system
    design.
  • The performance of the variable processing gain
    system can be measured in terms of network
    throughput and can be compared to the performance
    of conventional fixed rate CDMA systems in which
    perfect power control is assumed.

27
Acknowledgements
  • I convey my deep sense of gratitude to Dr.Ashraf
    who has been helping me through out the project.
  • I convey my thankfulness to my compatriots who
    gave a hearing ear to my presentation.
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