Title :
Joint resource allocation method in heterogeneous wireless networks based on genetic algorithm
Author :
Li He ; Xin Su ; Jie Zeng ; Yujun Kuang
Author_Institution :
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
Abstract :
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.
Keywords :
genetic algorithms; radio access networks; resource allocation; GA; MMT; common network platform; genetic algorithm; heterogeneous wireless networks; joint resource allocation method; multimode mobile terminals; multiple RAN; parallel multiradio access scheme; radio access networks; genetic algorithm; heterogeneous; multidimensional optimization; radio resource management;
Conference_Titel :
Wireless Communications & Signal Processing (WCSP), 2012 International Conference on
Conference_Location :
Huangshan
Print_ISBN :
978-1-4673-5830-9
Electronic_ISBN :
978-1-4673-5829-3
DOI :
10.1109/WCSP.2012.6542924