naa a22 4500 510794904 CHVBK 20180411083332.0 cr unu---uuuuu 180411e20130401xx s 000 0 eng 10.1007/s11277-012-0657-8 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0657-8 A Novel Immune Optimization Algorithm for Fairness Resource Allocation in Cognitive Wireless Network [Elektronische Daten] [Zheng-Yi Chai, Fang Liu, Yu-Tao Qi, Jian-She Wu] 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. Springer Science+Business Media, LLC., 2012 Artificial immune system nationallicence Cognitive wireless network nationallicence OFDM nationallicence Proportional fairness nationallicence Resource allocation nationallicence Chai Zheng-Yi School of Computer Science and Technology, Xidian University, 710071, Xi'an, China aut Liu Fang School of Computer Science and Technology, Xidian University, 710071, Xi'an, China aut Qi Yu-Tao School of Computer Science and Technology, Xidian University, 710071, Xi'an, China aut Wu Jian-She Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, 710071, Xi'an, China aut Wireless Personal Communications Springer US; http://www.springer-ny.com 69/4(2013-04-01), 1671-1687 0929-6212 69:4<1671 2013 69 11277 https://doi.org/10.1007/s11277-012-0657-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0657-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chai Zheng-Yi School of Computer Science and Technology, Xidian University, 710071, Xi'an, China aut NATIONALLICENCE 700 1- Liu Fang School of Computer Science and Technology, Xidian University, 710071, Xi'an, China aut NATIONALLICENCE 700 1- Qi Yu-Tao School of Computer Science and Technology, Xidian University, 710071, Xi'an, China aut NATIONALLICENCE 700 1- Wu Jian-She Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, 710071, Xi'an, China aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 69/4(2013-04-01), 1671-1687 0929-6212 69:4<1671 2013 69 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer