End-to-end utility-based resource allocation for multi-RAT nodes in heterogeneous cognitive wireless networks

doi:10.1016/S1005-8885(13)60022-9

Acta Metallurgica Sinica(English letters)

End-to-end utility-based resource allocation for multi-RAT nodes in heterogeneous cognitive wireless networks

陈锋,许文俊,林家儒,牛凯,马红玉

北京邮电大学

收稿日期:2012-10-17 修回日期:2012-11-29 出版日期:2013-04-30 发布日期:2013-04-26
通讯作者: 陈锋 E-mail:cfeng0594@hotmail.com
基金资助:
This work was supported by National Basic Research Program of China (2009CB320401), the National Key Scientific and Technological Project of China (2008ZX03003-005, 2008ZX03003), the Fundamental Research Funds for the Central Universities BUPT2009RC0111 and Research Funds of Doctoral Program of Higher Education of China (20090005110003).

End-to-end utility-based resource allocation for multi-RAT nodes in heterogeneous cognitive wireless networks

Received:2012-10-17 Revised:2012-11-29 Online:2013-04-30 Published:2013-04-26
Contact: Feng Chen E-mail:cfeng0594@hotmail.com
Supported by:
This work was supported by National Basic Research Program of China (2009CB320401), the National Key Scientific and Technological Project of China (2008ZX03003-005, 2008ZX03003), the Fundamental Research Funds for the Central Universities BUPT2009RC0111 and Research Funds of Doctoral Program of Higher Education of China (20090005110003).

摘要/Abstract

摘要：

This paper studies the problem of effective resource allocation for multi-radio access technologies (Multi-RAT) nodes in heterogeneous cognitive wireless networks (HCWNs). End-to-end utility, which is defined as the delay of end-to-end communication, is taken into account in this paper. In the scenario of HCWNs, it is assumed that the cognitive radio nodes have the ability of Multi-RAT and can communicate with each other through different paths simultaneously by splitting the arrival packets. In this paper, the problem is formulated as the optimization of split ratio and power allocation of the source cognitive radio node to minimize the delay of end-to-end communication, and a low complexity step-by-step iterative algorithm is proposed. Numerical results show good performance of the proposed algorithm over two other conventional algorithms.

关键词:

resource allocation, heterogeneous, cognitive wireless networks, end-to-end utility, Multi-RAT

Abstract:

Key words:

resource allocation, heterogeneous, cognitive wireless networks, end-to-end utility, Multi-RAT

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End-to-end utility-based resource allocation for multi-RAT nodes in heterogeneous cognitive wireless networks

End-to-end utility-based resource allocation for multi-RAT nodes in heterogeneous cognitive wireless networks

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