Acta Metallurgica Sinica(English letters)

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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).

Abstract:

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.

Key words:

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