Joint Resource Allocation Method in Heterogeneous Wireless Networks Based on Genetic Algorithm

被引：0

作者：

He, Li ^{[1
]}

Su, Xin ^{[2
]}

Zeng, Jie ^{[2
]}

Kuang, Yujun ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Commun & Informat Engn, Chengdu, Sichuan, Peoples R China

[2] Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Beijing, Peoples R China

来源：

2012 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP 2012) | 2012年

基金：

北京市自然科学基金;

关键词：

genetic algorithm; multidimensional optimization; heterogeneous; radio resource management;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The heterogeneous wireless networks integrate various types of radio access networks (RANs) as far as possible to provide multiple services on the common network platform. Joint resource allocation in these networks plays an important role in improving resource utilization. In this paper, we study the problem of maximizing system capacity for parallel multi-radio access scheme where multi-mode mobile terminals (MMTs) can transmit data simultaneously over multiple RANs. A bandwidth and power joint allocation method named MDGS was proposed, which based on the genetic algorithm (GA). Numerical results validate the effectiveness of the proposed approach.

引用

页数：5