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Department of Science and Technology Institutionen för teknik och naturvetenskap Linköpings Universitet Linköpings Universitet SE-601 74 Norrköping, Sweden 601 74 Norrköping
C-uppsatsLITH-ITN-EX--05/001--SE
Optimized Power Control for CDMASystem using Channel Prediction
Tommi Uurtonen
2005-01-07
LITH-ITN-EX--05/001--SE
Optimized Power Control for CDMASystem using Channel Prediction
Examensarbete utfört i reglerteknikvid Linköpings Tekniska Högskola, Campus
Norrköping
Tommi Uurtonen
Handledare Kjell NordströmExaminator Kjell Nordström
Norrköping 2005-01-07
RapporttypReport category
Examensarbete B-uppsats C-uppsats D-uppsats
_ ________________
SpråkLanguage
Svenska/Swedish Engelska/English
_ ________________
TitelTitle
FörfattareAuthor
SammanfattningAbstract
ISBN_____________________________________________________ISRN_________________________________________________________________Serietitel och serienummer ISSNTitle of series, numbering ___________________________________
NyckelordKeyword
DatumDate
URL för elektronisk version
Avdelning, InstitutionDivision, Department
Institutionen för teknik och naturvetenskap
Department of Science and Technology
2005-01-07
xx
LITH-ITN-EX--05/001--SE
http://www.ep.liu.se/exjobb/itn/2005/de/001/
Optimized Power Control for CDMA System using Channel Prediction
Tommi Uurtonen
In an optimal power control scheme for a Code Division Multiple Access (CDMA) system all MobileStations (MS's) signals should arrive to the Base Station (BS) at equal power. If not, stronger singalsmay cause too much interference and block out weaker ones. Commonly used power control schemesutilizes the Signal to Interference Ratio (SIR) to design a Power Control Command (PCC) to adjust thetransmit power of the MS. A significant problem within the conventional methods is the slow SIRrecovery due to deep channel fades. Conventional methods base the PCC on the current channel statewhen in fact, the channel state may have significantly changed when transmission occurs. These channelchanges may cause the SIR to drop or rise drastically and lead to uncontrollable Multi AccessInterference (MAI) resulting in power escalation and making the system unstable. In order to overcomepower escalation and improve the recovery from deep fades a novel power control method has beendeveloped. Based on Linear Quadratic Gaussian (LQG) control and Kalman filtering for channelprediction this method designs the PCC based on the coming channel state instead of the current. Thisoptimizes the PCC for the channel state where transmission occurs. Simulations show that this controlscheme outperforms previous methods by making the impacts of the deep fades less severe on the SIRand also improves the overall SIR behaviour.
cdma, power control, prediction
Upphovsrätt
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Copyright
The publishers will keep this document online on the Internet - or its possiblereplacement - for a considerable time from the date of publication barringexceptional circumstances.
The online availability of the document implies a permanent permission foranyone to read, to download, to print out single copies for your own use and touse it unchanged for any non-commercial research and educational purpose.Subsequent transfers of copyright cannot revoke this permission. All other usesof the document are conditional on the consent of the copyright owner. Thepublisher has taken technical and administrative measures to assure authenticity,security and accessibility.
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© Tommi Uurtonen
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b (n)K r (M)K ideal channel
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Display relevant graphsfor comparison purposes
Find Control Commandusing Novel Approach
Find Control Commandusing Conventional Method
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Update Transmission Powerusing Novel Approach
Update Transmission Powerusing Conventional Methods
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Create Message
Set Variables
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0 20 40 60 80 100−20
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Transmit Power for Fixed method
0 20 40 60 80 100−20
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5
10
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0 20 40 60 80 100−20
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Actual Channel 5.4 km/h for user 6
0 20 40 60 80 100−30
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−10
0
10
Gai
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Predicted Channel 5.4 km/h for user 6
0 20 40 60 80 100−20
−10
0
10
20
Pow
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dB)
Transmit Power for Fixed method
0 20 40 60 80 100−20
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0
10
20
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Transmit Power for Predictive method
0 20 40 60 80 100−10
0
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SIR for Fixed method
0 20 40 60 80 100−10
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(dB
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0 20 40 60 80 100−10
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5
10
Gai
n (d
B)
Predicted Channel 5.4 km/h for user 5
0 20 40 60 80 100−20
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Transmit Power for Fixed method
0 20 40 60 80 100−20
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0 20 40 60 80 1000
5
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Predicted Channel 5.4 km/h for user 2
0 20 40 60 80 100−20
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Transmit Power for Quantised method
0 20 40 60 80 100−20
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Transmit Power for Predictive method
0 20 40 60 80 1000
5
10
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SIR for Quantised method
0 20 40 60 80 1000
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0 20 40 60 80 100−20
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(dB
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0 20 40 60 80 100−20
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n (d
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Predicted Channel 5.4 km/h for user 3
0 20 40 60 80 100−20
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Transmit Power for Quantised method
0 20 40 60 80 100−20
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Transmit Power for Predictive method
0 20 40 60 80 1000
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n (d
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SIR for Quantised method
0 20 40 60 80 1000
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0 20 40 60 80 100−30
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)
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0 20 40 60 80 100−30
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−10
0
10
Gai
n (d
B)
Predicted Channel 5.4 km/h for user 6
0 20 40 60 80 100−20
−10
0
10
20
Pow
er (
dB)
Transmit Power for Quantised method
0 20 40 60 80 100−20
−10
0
10
20
Pow
er (
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Transmit Power for Predictive method
0 20 40 60 80 100−10
0
10
20
Gai
n (d
B)
SIR for Quantised method
0 20 40 60 80 100−10
0
10
20G
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(dB
)SIR for Predictive method
1 2
3 4
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0 20 40 60 80 100−10
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(dB
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0 20 40 60 80 100−10
−5
0
5
10
Gai
n (d
B)
Predicted Channel 5.4 km/h for user 5
0 20 40 60 80 100−20
−15
−10
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0
Pow
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Transmit Power for Quantised method
0 20 40 60 80 100−20
−15
−10
−5
0
Pow
er (
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Transmit Power for Predictive method
0 20 40 60 80 1000
5
10
15
Gai
n (d
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SIR for Quantised method
0 20 40 60 80 1000
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10
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0 20 40 60 80 100−20
−10
0
10
Gai
n (d
B)
Actual Channel 5.4 km/h for user 2
0 20 40 60 80 100−20
−10
0
10
Gai
n (d
B)
Predicted Channel 5.4 km/h for user 2
0 20 40 60 80 100−20
−10
0
10
Pow
er (
dB)
Transmit Power for Ideal method
0 20 40 60 80 100−20
−10
0
10
Pow
er (
dB)
Transmit Power for Predictive method
0 20 40 60 80 1000
5
10
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Gai
n (d
B)
SIR for Ideal method
0 20 40 60 80 1000
5
10
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Gai
n (d
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SIR for Predictive method
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3 4
5 6
7 8
9 10
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0 20 40 60 80 100−15
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(dB
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0 20 40 60 80 100−15
−10
−5
0
5
10
Gai
n (d
B)
Predicted Channel 5.4 km/h for user 3
0 20 40 60 80 100−20
−15
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0
5
Pow
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Transmit Power for Ideal method
0 20 40 60 80 100−20
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0
5
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er (
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Transmit Power for Predictive method
0 20 40 60 80 1000
5
10
15
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n (d
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0 20 40 60 80 1000
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0 20 40 60 80 100−30
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Predicted Channel 5.4 km/h for user 6
0 20 40 60 80 100−20
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0
10
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Transmit Power for Ideal method
0 20 40 60 80 100−20
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0
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Transmit Power for Predictive method
0 20 40 60 80 100−10
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0 20 40 60 80 100−10
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0 20 40 60 80 100−10
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0
5
10
Gai
n (d
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Predicted Channel 5.4 km/h for user 5
0 20 40 60 80 100−20
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0
Pow
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Transmit Power for Ideal method
0 20 40 60 80 100−20
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Transmit Power for Predictive method
0 20 40 60 80 1000
5
10
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n (d
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0 20 40 60 80 1000
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10
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1 2
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