A Novel Immune Optimization Algorithm for Fairness Resource Allocation in Cognitive Wireless Network

被引：8
|
作者：
Chai, Zheng-Yi [1 ,2 ]
Liu, Fang [1 ]
Qi, Yu-Tao [1 ]
Wu, Jian-She [3 ]
机构：
[1] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Peoples R China
[2] Hennan Univ Technol, Sch Informat Sci & Engn, Zhengzhou 450001, Peoples R China
[3] Xidian Univ, Minist Educ China, Key Lab Intelligent Percept & Image Understanding, Xian 710071, Peoples R China
来源：
WIRELESS PERSONAL COMMUNICATIONS | 2013年 / 69卷 / 04期
基金：
中国国家自然科学基金; 新加坡国家研究基金会; 中国博士后科学基金;
关键词：
Artificial immune system; Cognitive wireless network; OFDM; Proportional fairness; Resource allocation; POWER ALLOCATION; FREQUENCY;
D O I：
10.1007/s11277-012-0657-8
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Cognitive wireless network (CWN) is a novel concept for improving the utilization of scarce wireless spectrum resources. Dynamic resource allocation is an important task in such systems. In this paper, a novel resource allocation algorithm for multi-user OFDM-based CWN is presented. It is formulated into a constraint problem, and an optimization algorithm based on novel immune clonal is proposed. The proposed algorithm fully takes into account the maximum tolerable interferences of primary user and the proportional fairness for secondary user. The suitable operators for solving the problem are designed, such as clonal, mutation, Baldwin learning, selection and so on. The simulation results show that the proposed algorithm achieves high system throughput with proportional fairness among the secondary users.
引用
收藏
页码：1671 / 1687
页数：17
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