Performance of Handover for Multiple Users in ...mfiterau/papers/2009/LCN_Poster_V2.pdf · Handover...

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0 0.2 0.4 0.6 0.8 0 50 100 150 200 250 300 350 400 450 Node 0 Node 1 Node 2 Node 3 Node 4 0 0.2 0.4 0.6 0.8 0 50 100 150 200 250 300 350 400 450 Node 0 Node 1 Node 2 Node 3 Node 4 0 0.2 0.4 0.6 0.8 0 50 100 150 200 250 300 350 400 450 Node 0 Node 1 Node 2 Node 3 Node 4 WiMAX UMTS WLAN Group of mobile nodes 5. Summary 2. Solution The applied quality function represents the level of service that a network can provide to the mobile device at a given time. The handover is delayed based on the value of this function, allowing the users that best fit the network to connect first. A random decision is used as a discriminator between nodes in network selection. 4. Testing The QADS extension was designed for the NS-2 simulator. Compared to the ACS network selection strategy, QADS provides an increased overall throughput and decreased packet loss. The solution is superior to the PNQS algorithm in that it avoids ping-pong. Smart Triggers Handover Messages Info. Services WLAN Cellular WMAN L2 Triggers and Events Handover Messages Information Service Connection Handover Policy Handover Management Applications (VoIP, FTP) Mobility Protocols (MIP, SCTP) IEEE 802.21 MIH Function UMTS WiMAX WLAN notebook iPhone pda blackberry mobile gaming video calls e-learning shopping online data transfer e-mail time power cos t quality 3. Implementation Group handover is detected by monitoring link parameters and comparing the expected value of the quality function before the delay to the actual value once the connection has been established. In the event of a group handover, a random variable decides the network to which the data session should be directed. QADS – novel algorithm that tackles the problem of group handover Marked improvement in individual /overall throughput, decrease in packet loss compared to alternatives Future work includes further testing, design and development, and an analytical evaluation of the problem 1. Problem A mobile device must decide which of the available wireless networks to use to transport its data. In infrastructure-based heterogeneous networks, the mobile device has no information about other users of the network. Yet, a good network selection decision must be made even in the event of a group of independent users in the same local area simultaneously handing over between radio access networks. Total throughput (Mbps) for each node in the fivenode simulaEon ACS QADS PNQS Performance indicators for the ninenode simula3on Performance Indicator ACS PNQS QADS Average Throughput (Mbps) 5.9805 6.7166 6.8821 Standard deviaEon of overall throughput 1.6282 0.9945 0.8552 Total traffic (Mb) 2392 2686 2752 Total data loss at AP (Mb) 57.231 21.289 13.201 Data loss (% of total traffic) 2.3923 0.7923 0.4797 M. Fiterau, O. Ormond, G.-M. Muntean, Odysseus Summer Program, Performance Engineering Laboratory, Dublin City University Copyright 2009 © Performance Engineering Laboratory, Dublin City University Performance of Handover for Multiple Users in Heterogeneous Wireless Networks

Transcript of Performance of Handover for Multiple Users in ...mfiterau/papers/2009/LCN_Poster_V2.pdf · Handover...

Page 1: Performance of Handover for Multiple Users in ...mfiterau/papers/2009/LCN_Poster_V2.pdf · Handover Messages Information Service Connection Handover Policy Handover Management Applications

   

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WiMAX

UMTS WLAN Group of mobile nodes

   

5. Summary

2. Solution The applied quality function represents the level of service that a network can provide to the mobile device at a given time. The handover is delayed based on the value of this function, allowing the users that best fit the network to connect first. A random decision is used as a discriminator between nodes in network selection.

4. Testing The QADS extension was designed for the NS-2 simulator. Compared to the ACS network selection strategy, QADS provides an increased overall throughput and decreased packet loss. The solution is superior to the PNQS algorithm in that it avoids ping-pong.

   Smart

Triggers Handover Messages

Info. Services

WLAN Cellular WMAN

L2 Triggers and Events

Handover Messages

Information Service

Connection Handover Policy

Handover Management

Applications (VoIP, FTP)

Mobility Protocols (MIP, SCTP)

IEEE 802.21 MIH Function

UMTS WiMAX

WLAN

notebook iPhone pda

blackberry

mobile

gaming video calls

e-learning

shopping online

data transfer

e-mail

time

power cost

quality

3. Implementation Group handover is detected by monitoring link parameters and comparing the expected value of the quality function before the delay to the actual value once the connection has been established. In the event of a group handover, a random variable decides the network to which the data session should be directed.

QADS – novel algorithm that tackles the problem of group handover Marked improvement in individual /overall throughput, decrease in packet loss compared to alternatives

Future work includes further testing, design and development, and an analytical evaluation of the problem

1. Problem A mobile device must decide which of the available wireless networks to use to transport its data. In infrastructure-based heterogeneous networks, the mobile device has no information about other users of the network. Yet, a good network selection decision must be made even in the event of a group of independent users in the same local area simultaneously handing over between radio access networks.

Total  throughput  (Mbps)  for  each  node  in  the  five-­‐node  simulaEon    

ACS  

QADS  

PNQS  

Performance  indicators  for  the  nine-­‐node  simula3on  Performance  Indicator   ACS   PNQS   QADS  Average  Throughput    (Mbps)   5.9805   6.7166   6.8821  Standard  deviaEon  of  overall  throughput   1.6282   0.9945   0.8552  Total  traffic  (Mb)   2392   2686   2752  Total  data  loss  at  AP  (Mb)   57.231   21.289   13.201  Data  loss  (%  of  total  traffic)   2.3923   0.7923   0.4797  

   M. Fiterau, O. Ormond, G.-M. Muntean, Odysseus Summer Program, Performance Engineering Laboratory, Dublin City University

   

Copyright 2009 © Performance Engineering Laboratory, Dublin City University

Performance of Handover for Multiple Users in Heterogeneous Wireless Networks