中国邮电高校学报(英文) ›› 2011, Vol. 18 ›› Issue (4): 98-103.doi: 10.1016/S1005-8885(10)60090-8

• Networks • 上一篇    下一篇

Network selection policy in multi-radio access environment using stochastic control theory

魏翼飞1,宋梅2,张勇1   

  1. 1. 北京邮电大学
    2. 北京邮电大学电子工程学院
  • 收稿日期:2010-12-02 修回日期:2011-04-07 出版日期:2011-08-31 发布日期:2011-08-24
  • 通讯作者: 魏翼飞 E-mail:weiyifei@bupt.edu.cn
  • 基金资助:

    This work was supported by the National Natural Science Foundation of China (60971083), and the Scientific Research and Innovation Plan for the Youth of BUPT (2011RC0305).

Network selection policy in multi-radio access environment using stochastic control theory

  • Received:2010-12-02 Revised:2011-04-07 Online:2011-08-31 Published:2011-08-24
  • Contact: Yi-Fei WEI E-mail:weiyifei@bupt.edu.cn
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (60971083), and the Scientific Research and Innovation Plan for the Youth of BUPT (2011RC0305).

摘要:

Network selection is crucial in improving the performance of heterogeneous wireless access systems. Most of previous work on network selection or radio resource allocation concentrates on the capability of each available network and ignores the time-varying nature of wireless media due to channel fading. However, the channel condition determines the state of each wireless network and plays a vital role in ensuring quality of service in multi-radio access environment. In this article, we propose a network selection policy using stochastic control theory considering the time-varying and stochastic character of wireless channels. The proposed scheme selects one network among different alternatives in each decision epoch according to the channel state of each network, which is modeled as finite-state Markov channel, with the objectives of increasing the data-rate, decreasing the bit error rate and minishing the delay. The procedure of network selection is formulated as a stochastic control problem, which can be solved using linear programming and primal-dual index heuristic algorithm. Simulation results are presented to show that network selection has great impact on the system performance, and the proposed scheme can improve the performance significantly.

关键词:

network selection, multi-radio, finite-state Markov channel, stochastic control

Abstract:

Network selection is crucial in improving the performance of heterogeneous wireless access systems. Most of previous work on network selection or radio resource allocation concentrates on the capability of each available network and ignores the time-varying nature of wireless media due to channel fading. However, the channel condition determines the state of each wireless network and plays a vital role in ensuring quality of service in multi-radio access environment. In this article, we propose a network selection policy using stochastic control theory considering the time-varying and stochastic character of wireless channels. The proposed scheme selects one network among different alternatives in each decision epoch according to the channel state of each network, which is modeled as finite-state Markov channel, with the objectives of increasing the data-rate, decreasing the bit error rate and minishing the delay. The procedure of network selection is formulated as a stochastic control problem, which can be solved using linear programming and primal-dual index heuristic algorithm. Simulation results are presented to show that network selection has great impact on the system performance, and the proposed scheme can improve the performance significantly.

Key words:

network selection, multi-radio, finite-state Markov channel, stochastic control