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

Authors:
Zheng-Yi Chai;Fang Liu;Yu-Tao Qi;Jian-She Wu
Affiliations:
School of Computer Science and Technology, Xidian University, Xi'an, China 710071 and School of Information Science and Engineering, Hennan University of Technology, ZhengZhou, China 450001;School of Computer Science and Technology, Xidian University, Xi'an, China 710071;School of Computer Science and Technology, Xidian University, Xi'an, China 710071;Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China 710071
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

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Abstract

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.