Genetic algorithm for autonomic joint radio resource management in end-to-end reconfigurable systems

doi:1005-8885 (2008) 01-0011-07

中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (1): 11-17.doi: 1005-8885 (2008) 01-0011-07

Genetic algorithm for autonomic joint radio resource management in end-to-end reconfigurable systems

曾宪;马涛;林粤伟;冯志勇

Key Laboratory of Universal Wireless Communications (Beijing University of Posts and Telecommunictions), Ministry of Education, Beijing 100876, China

收稿日期:2007-05-21 修回日期:1900-01-01 出版日期:2008-03-31
通讯作者: 曾宪

Genetic algorithm for autonomic joint radio resource management in end-to-end reconfigurable systems

Key Laboratory of Universal Wireless Communications (Beijing University of Posts and Telecommunictions), Ministry of Education, Beijing 100876, China

Received:2007-05-21 Revised:1900-01-01 Online:2008-03-31
Contact: Zeng Xian

摘要/Abstract

摘要：

This article presents the genetic algorithm (GA) as an autonomic approach for the joint radio resource management (JRRM) amongst heterogeneous radio access technologies (RATs) in the end-to-end reconfigurable systems. The joint session admission control (JOSAC) and the bandwidth allocation are combined as a specific decision made by the operations of the genetic algorithm with certain advisable modifications. The proposed algorithm is triggered on the following two conditions. When a session is initiated, it is triggered for the session to camp on the most appropriate RAT and select the most suitable bandwidth for the desired service. When a session terminates, it is also used to adjust the distribution of the ongoing sessions through the handovers. This will increase the adjustment frequency of the JRRM controller for the best system performance. Simulation results indicate that the proposed autonomic JRRM scheme not only effectively reduces the handover times, but also achieves well trade-off between the spectrum utility and the blocking probability.

关键词:

genetic;algorithm,;handover,;heterogeneous;network,;joint;radio;resource;management,;reconfigurability

Abstract:

Key words:

genetic algorithm;handover;heterogeneous network;joint radio resource management;reconfigurability

中图分类号:

TN915.01

参考文献

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Genetic algorithm for autonomic joint radio resource management in end-to-end reconfigurable systems

Genetic algorithm for autonomic joint radio resource management in end-to-end reconfigurable systems

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