A Predictive Movement Based Handover Algorithm for Broadband Wireless Networks

Po-Hsuan Tseng , Kai-Ten Feng

National Chiao-Tung University

WCNC 2008

Outline

Introduction Proposed Mechanism Performance Evaluation Conclusions

Introduction (Handover procedure of 802.16e -- Network Topology Acquisition)

Introduction (Handover procedure of 802.16e – Handover Processing)

Motivation and Goal

Conventional mechanism handover with signal only

To reduce the handover frequency with predictive mechanism

Proposed PMHO Algorithm(Predictive Sideline-Traveling Scheme)

1. Initialization BSS: All the BSs that are within the transmission range of MS (except serving BS)

BSS={BSA, BSC, BSD}

Proposed PMHO Algorithm (Predictive Sideline-Traveling Scheme)

2. Periodic Updates of the Scanning Set

BSS={BSA, BSC, BSD}BSS={BSC, BSD}

Proposed PMHO Algorithm (Predictive Sideline-Traveling Scheme)

3. Prediction of Traveling Sideline(Delaunay triangulation)

Proposed PMHO Algorithm (Predictive Sideline-Traveling Scheme)

3. Prediction of Traveling Sideline

Proposed PMHO AlgorithmMSI (Moving State Indicator)

)/4log(20 0 dA

Proposed PMHO AlgorithmMSI (Moving State Indicator)

Parameterd0 reference distance

di distance from MS to BS

λ wavelength

α enviorement change parameter

si shadowing effect

σ variance of si

Lf frequence correction

Lh height correction

Proposed PMHO AlgorithmMSI (Moving State Indicator)

Proposed PMHO Algorithm (Handover Decision)

Performance Evaluation

Network layout Regular

carrier frequency(f) 2.5GHz

Antenna heights 30m for BS2m for MS

shadowing fading(σ) 10dB

correlation factor(k) 20m

velocities 0 ~ 30m/s

Performance Evaluation

QPSK -125db

16-QAM -120db

64-QAM -115db

Performance Evaluation

Performance Evaluation

Conclusions A predictive movement-based handover

(PMHO) is proposed for the IEEE 802.16e.

Without calculating the precise location of the mobile device.

The simulation results illustrate that both the handover number and size of the neighbor-scanning set can be reduced.