Earticle

초록

영어

Mobility prediction algorithm is the significant aspect to improve QoS (Quality of Service)
for heterogeneous wireless networks because it decreases handoff latency and preserves
resources in arriving cells for users. Since existing mobility prediction algorithms based on
GPS (Global Positioning System) often suffer from low prediction accuracy for complex and
irregular trajectory, this paper combines support vector regression with local prediction to
propose a novel mobility prediction algorithms based on local support vector regression
(LSVR) to overcome above deficiency. Simulation results show that LSVR algorithm achieves
high prediction accuracy for a size of historical data in three typical mobile scenes.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Mobility Prediction Algorithm based on LSVR
  3.1. Location Description Unit for Heterogeneous Wireless Networks
  3.2. Local Support Vector Regression
  3.3. Implementation of LSVR Algorithm
 4. Simulation Results and Analyses
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Zhenyu Na [ School of Information Science and Technology, Dalian Maritime University ]
• Yang Cui [ Institute of Science and Industry Technology, Harbin Institute of Technology ]
• Yubin Xu [ Communication Research Center, Harbin Institute of Technology ]
• Liming Chen [ Communication Research Center, Harbin Institute of Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605