Intelligent Anti-Jamming Decision Method Based on the Mutation Search Artificial Bee Colony Algorithm for Wireless Systems

Fang Ye, Zitao Zhou, Hongbo Tian, Qian Sun, Yibing Li, T. Jiang
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引用次数: 5

Abstract

Wireless systems are vulnerable to various kinds of jamming attacks due to the development of complexity of electromagnetic environment. Intelligent anti-jamming decision for multi-domain, which is more flexible than traditional single-domain technique, has attracted much more attention. However, poor decision-making speed and robustness of decision-making algorithm lead to a non-optimal communication scheme in huge decision space. An anti-jamming decision method based on the mutation search artificial bee colony algorithm (MSABC) is proposed in this paper. Numerical investigations show that the proposed algorithm can find a better communication scheme that reduces the normalized transmitting power while maintaining the normalized rate.
基于突变搜索人工蜂群算法的无线系统智能抗干扰决策方法
由于电磁环境的复杂性,无线系统容易受到各种干扰攻击。与传统的单域抗干扰技术相比,多域智能抗干扰决策具有更大的灵活性,受到了越来越多的关注。然而,决策算法的决策速度和鲁棒性较差,导致在巨大的决策空间中存在非最优通信方案。提出了一种基于突变搜索人工蜂群算法(MSABC)的抗干扰决策方法。数值研究表明,该算法能够在保持归一化速率的同时降低归一化发射功率,找到较好的通信方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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