a dynamic channel allocating method adapted to users preferences in circuit switching of w cdma
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A Dynamic Channel Allocating Method Adapted to Users’ Preferences in Circuit Switching of W-CDMA. Takayuki Katayama Yoshimi Teshigawara Graduate School of Engineering Soka University, Tokyo Japan {tkatayam,teshiga}@soka.ac.jp. Introduction.

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a dynamic channel allocating method adapted to users preferences in circuit switching of w cdma

A Dynamic Channel Allocating Method Adapted to Users’ Preferences in Circuit Switching of W-CDMA

Takayuki KatayamaYoshimi Teshigawara

Graduate School of Engineering

Soka University, Tokyo Japan

{tkatayam,teshiga}@soka.ac.jp

introduction
Introduction
  • Recently a number of browser phones which can transmit data by using cellular phone has been increasing rapidly.

(million)

Over the 60 millions

December in 2002

MCPC*prediction

In 2004, over 84

million people

will subscribe to

cellular phone

IP cellular phone subscriber

(Telecommunications Carriers Association)

*Mobile Computing Promotion Consortium

proposed system
Proposed System
  • Dynamic channel allocating method in consideration of users requests
    • Extract user preference parameters such as bandwidth, cost, connectivity and sentthem to the base station.
    • Allocating channels according to users’ requests (satisfactory parameters) by using AHP

Enable to provide data communications that

satisfies users’ preference requests

procedure of channel allocation

1

2

3

4

5

6

7

8

9

Procedure of Channel Allocation

UserNo

UserLevel

User DB

Policy Server

MT

BS

Bandwidth DB

specifying user preferences
Specifying User Preferences
  • Specifying operation
    • Use Java application implemented in cellular phone
  • Input of importance levels on users’ preferences
    • Select a level from “most important”, “more important”, “important”, “less important”, “least important” (Importancelevels are easily understood)

Input data will be sent to the management server at

the BS and be evaluated as significant values by using AHP.

Input image

channel allocating algorithm

No

No

Channel AllocatingAlgorithm

Communication request

Remaining channel

is enough

calculate AHP

Yes

Allocate channels

which user request

Calculate AHP

Start communication

The calling loss are

higher than a regular time

The connection weights are

promoted a higher position

Yes

No

Check the service and the user

which currently perform communication

Refer to each level of importance

which the user perform communication

Calculate the users’ quality

value using QDm method

Yes

The connection

weight is above

“A”point

Allocate channel which

user request.

Start communication

Move to calling loss state

method to determine user quality
Use QDm (Quality Deployment for Market pricing) method which applies “AHP” and “value engineering” Method to Determine User Quality

Valuation of satisfactory level regarding

bandwidth and cost, connectivity

Evaluated by AHP

User quality is determined

valuation of satisfactory level regarding bandwidth cost and connectivity

5

4

3

Quality value

2

1

High satisfaction

0

Acquired Channels

It falls rapidly

It falls gently

“proper figure“

Valuation of Satisfactory Level Regarding Bandwidth, Cost and Connectivity

Fig. 2 Satisfactory level of “Bandwidth”

5

4

3

Quality value

2

1

Fig. 1 Figure using “proper figure”

0

cost

Fig 3. Satisfactory level of “Cost”

simulation
Simulation

1024kbps

MT

BS

The range of bandwidth available is

32kbps~128kbps

ATM Network

Table 1. Importance level of user preference

fig 4 average acquired bandwidth of each level 4 05

Simulation Results(1)

※λ= calling rate (per sec)

Fig. 4 Average acquired bandwidth of each level (λ=4.05)

Calling loss rate (%)

Calling loss rate (%)

calling interval(call/sec)

Fig. 1 Comparison of each level with calling loss rate

Fig. 3 Relationship between cost

and average calling loss rate

Acquiring bandwidth (kbps)

Acquiring bandwidth (kbps)

Request channels (kbps)

calling interval(call/sec)

Fig. 2 Comparison of each level with average acquired bandwidth

fig 5 relationship between user satisfaction levels and calling interval

Simulation Results(2)

Fig. 5Relationship between user satisfaction levels and calling interval

user satisfactory levels(%)

user satisfactory levels(%)

calling interval(call/sec)

calling interval(call/sec)

Fig. 6 Comparison of each importance parameter with user satisfaction level

※λ= calling rate

conclusion
Conclusion

We realize that the proposed system is effective for users who want to acquire enough “bandwidth”, to establish “connection” even under heavy traffic, and to make reasonable communications to guarantee items which users request preferentially .

Future works

  • Guarantee of End-to-End QoS
  • Comparison in the case of packet switching
  • method applying proposed system
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