Title: Voice capacity in CDMA 2000 1xRTT systems
1Voice capacity in CDMA 2000 1xRTT systems
Term project (COE-543) By S.M.Rehman 230419.
2Outline
- Introduction
- Advantages of CDMA systems
- Propagation Loss Models
- Parameters considered
- Plan of action
- Simulated results
- Future work
- Conclusions
3Introduction.
- 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.
4Introduction (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.
5Contd.
- 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.
6Advantages 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.
7Propagation 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.
8Contd.
- 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.
9Most 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.
10Definition
- 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.
11Path 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.
12Path 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.
13Hata 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.
14Hata 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 .
15Contd..
- 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.
17Parameters 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.
18Simulated Results using Matlab
Frequency Number of users Radius (Km) Eb/No (dB) Rate (kbps)
1500 100 2 7 4.8
19Rate (kbps) Eb/No (dB) Radius (Km) Number of users Frequency (MHz)
4.8 7 6 50 1500
20Results Contd..
Rate (kbps) Eb/No (dB) Radius (Km) Number of users Frequency (MHz)
9.6 7 2 50 1500
21Contd..
Rate (kbps) Eb/No (dB) Radius (Km) Number of users Frequency (MHz)
9.6 7 2 50 200
22Contd..
Rate (kbps) Eb/No (dB) Radius (Km) Number of users Frequency (MHz)
19.2 7 2 50 200
23Scatter plot of path loss and distance for a
macro cell when the base antenna height was 25m.
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26Future 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.
27Acknowledgements
- 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.