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

作　　者：CHEN Feng XU Wen-jun LIN Jia-ru NIU kai MA Hong-yu 

机构地区：[1]Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications

出　　处：《The Journal of China Universities of Posts and Telecommunications》2013年第2期19-24,共6页中国邮电高校学报（英文版）

基　　金：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;Research Funds of Doctoral Program of Higher Education of China(20090005110003)

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.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 

分 类 号：TN92[电子电信—通信与信息系统]