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後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

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後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5. Outline. Our Previous Work Modeling UMTS Discontinuous Reception (DRX) Mechanism A Novel Analytic Model for UMTS DRX with Bursty Packet Data Traffic Analytic Model Numerical Results. UMTS MS Receiver Activities. An M / G /1 Vacation Model (1). - PowerPoint PPT Presentation
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Page 1: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

後卓越計畫成果報告

楊舜仁老師實驗室

2005.12.5

Page 2: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

2

Outline Our Previous Work

Modeling UMTS Discontinuous Reception (DRX) Mechanism

A Novel Analytic Model for UMTS DRX with Bursty Packet Data Traffic

Analytic Model Numerical Results

Page 3: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

3

UMTS MS Receiver Activities

DRXcycle 1

DRXcycle 2

DRXcycle 3

inactivitytimer

expired

wakeup

wakeup

sleep period tS

time

power active mode power saving mode

wakeup

tD

tI

busyperiod

(a)

inactivitytimer

activated

packetarrival

(d)

packetarrival

(inactivitytimer stopped)

packetarrival

inactivityperiod

(b)inactivity

period

(c)

inactivitytimer

activated

Page 4: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

4

An M/G/1 Vacation Model (1)

Input parameters Poisson packet arrivals with rate λa

Packet service time tx with mean 1/λx and variance Vx

The inactivity timer threshold tI

The DRX cycle tD

The cost of wakeup ζ

MSATMWCDMA

Buffer

Node B

Processor

RNC

UMTSCore

Network

ExternalNetwork

UTRAN

Page 5: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

5

The UMTS DRX is modeled as a variant of the M/G/1 queue with multiple vacations.

Output measures Mean packet waiting time E[tw] Power saving factor Ps

An M/G/1 Vacation Model (2)

Page 6: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

6

Bursty Packet Data Traffic

First packet arrival to base station buffer

Last packet arrival to base station buffer

A packet service session

A packet call

The instances of packet arrivals to base station buffer

t

• Geometric number of packet calls in a session• Geometric number of packets in a packet call• Geometric (Exponential) reading time

• Geometric (Exponential) inter-packer arrival time

• Cut-off Pareto packet size

Page 7: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

7

An Embeded Markov Chain Model

t. . . . .State 1 State 1 State 2 State 4 State 1

Inactivity timer

expired

Inactivity timer

expired

State 3

(Sleep) (Sleep)

Session 1 Session 2

State 1 State 3

State 2 State 4

• State 1: Busy period + Inter-packet

call idle period• State 2: Busy period + Inter-session

idle period• State 3: Sleep period entered from State 1• State 4: Sleep period entered from State 2

Page 8: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

8

Analytic Model (1)

The derivation of power saving factor Ps

Total time

Sleep time

Ps = Sleep time / Total time

4343322143

3611361132

2111211121

)(

1

1

1

1

)),()),((

)),()),((

61

aaqaqat

e

at

e

a

tpthpqthqqa

tpthpqthqqa

stst

III

III

ss

)(

1

1)(

1

1

61

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stst t

e

at

e

ass

Page 9: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

9

Analytic Model (2)

The derivation of mean packet waiting time E[tw] Number of packets

Total waiting time

E[tw] = Total waiting time / Number of packets

3433221 )( aaqaqa

141413131213211121

141413131213211121

TpaTpaTpqaTpqa

TqaTqaTqqaTqqa

Page 10: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

10

Effect of tipc on Ps and E[tw]

Page 11: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

11

Effect of tis on Ps and E[tw]

Page 12: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

12

Effect of tI on Ps and E[tw]

Page 13: 後卓越計畫 成果報告 楊舜仁老師實驗室 2005.12.5

13

Effect of tD on Ps and E[tw]