RLS for link trigger in handover across heterogeneous wireless networks

Nam Hoai Nguyen*, Zhenyu Zhou, Takuro Sato


研究成果: Conference contribution


The wireless communication system is evolving towards a ubiquitous wireless network in which multiple-radio devices can roam anytime and anywhere across different access networks. Minimal latency and low packet loss ratio during handover (HO) are the indispensable requirements to reduce service disruption and support real-time services. However, minimizing service disruption is a challenging issue to multiple access networks since HO latency is much higher than that of homogeneous networks. Link layer trigger or layer 2 trigger has been proposed to address this issue. Nevertheless, the precise timing and denitive criteria for initiating L2 trigger which can greatly affect the handover performance is not specified. This paper considers the issue of how to timely initiate handover decision from the link layer by using adaptive filtering algorithm to predict forthcoming received signal. Particularly, we propose Recursive Least Squares (RLS) as the predictive method for layer 2 triggering and compare its performance with various conventional filtering techniques. A simulation in which the proposed predictive algorithm is implemented to a handover scenario from Wi-Fi to WIMAX is also presented. Our numerical analysis and simulation results show that the proposed algorithm can achieve better performance than that of the other algorithms and can be used to enhance the handover performance in heterogeneous wireless networks.

ホスト出版物のタイトル2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
出版ステータスPublished - 2011
イベントIEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States
継続期間: 2011 9月 52011 9月 8


名前IEEE Vehicular Technology Conference


ConferenceIEEE 74th Vehicular Technology Conference, VTC Fall 2011
国/地域United States
CitySan Francisco, CA

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学
  • 応用数学


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