Optimal resource allocation for transmission diversity in multi-radio access networks: a coevolutionary genetic algorithm approach

被引：2
作者：
Fan WenHao [1 ,2 ]
Liu YuanAn [1 ,2 ]
Wu Fan [1 ,2 ]
机构：
[1] Beijing Univ Posts & Telecommun, Beijing Key Lab Work Safety Intelligent Monitorin, Beijing 100876, Peoples R China
[2] Beijing Univ Posts & Telecommun, Wireless Commun & EMC Lab, Sch Elect Engn, Beijing 100876, Peoples R China
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2014年 / 57卷 / 02期
基金：
中国国家自然科学基金;
关键词：
multi-radio access; radio resource management; multi-radio transmission diversity; Lagrangian method; coevolutionary algorithm; genetic algorithm; COMMUNICATION-NETWORKS;
D O I：
10.1007/s11432-012-4737-x
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The next generation wireless communication systems aim at supporting enhanced diversified network access and data transmission abilities via the cooperative integration and unified management of various radio access technologies (RATs). The resource allocation is the core component leading the network system and mobile terminals to the service robustness and performance maximization. In this paper, a numeric optimization model for optimizing terminals' transmission power and allocated RAT bandwidth for maximizing system capacity is proposed with the focal consideration of the multi-radio transmission diversity for parallel transmission through multiple links from different RATs, and different terminal characteristics on RAT supports. Also, we design a centralized and periodic scheduling algorithm including an improved coevolutionary genetic algorithm for efficiently solving the optimization problem. Simulation results demonstrate that our propose algorithm can distinctly enhance the system performance and improve the computational efficiency.
引用
收藏
页码：1 / 14
页数：14
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