基于遗传算法的全双工认知无线电 网络信道分配策略研究

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　　摘   要：隨着无线通信业务的不断增长和智能终端的日益多样化，无线频谱资源变得愈加紧缺，认知无线电作为一项能够有效解决频谱利用率过低的技术，近年来引起了学术界和工程界的广泛关注。在认知无线电网络中，次用户以合作频谱感知的方式智能判断主用户的工作状态，以便在授权频谱的空闲时段内接入并加以使用。将全双工通信技术引入到传统的认知无线电网络中，实现了频谱感知和数据传输的同步，既能确保数据传输的连续性，又能减少对主用户的干扰，对提升无线频谱利用率具有重要作用。对于多信道全双工认知无线电网络的信道分配，建立了次级网络吞吐量最大化模型，并通过惩罚函数法，将混合整数非线性规划问题转换成不带约束条件的非线性规划问题，提出了基于遗传算法的全双工认知无线电网络信道分配策略。仿真实验结果表明，该算法能在综合考虑算法复杂度和性能的情况下，完成信道分配并保证次级网络吞吐量的最大化。
　　关键词：全双工认知无线电网络;合作频谱感知;遗传算法;信道分配
　　中图分类号：TP393.2                                        文献标识码：A
　　Research on Channel Assignment Strategy Based on
　　Genetic Algorithm in Full-duplex Cognitive Radio Networks
　　YAO Qi-zhen DENG Hai
　　（College of Computer Science and Technology，Nanjing University of Aeronautics and Astronautics，Nanjing，Jiangsu 210016，China）
　　Abstract：With the continuous growth of wireless communication services and the growing diversity of intelligent terminals，wireless spectrum resources are becoming more and more scarce. Cognitive radio has attracted extensive attention in the academic and engineering fields as a technology that can effectively improve the spectrum utilization in recent years. In cognitive radio networks （CRNs），the secondary users（SUs） intelligently judge the state of the primary user（PU） in a cooperative spectrum sensing（CSS） manner to access and use the idle time of the licensed spectrum. Full-duplex（FD） communication is introduced to conventional CRNs，in order to realize the synchronization of spectrum sensing and data transmission which not only ensures the continuity of data transmission，but also reduces interference to PU and plays an important role in improving the utilization of the wireless spectrum. A secondary networks throughput maximization（SNTM） model is established in this paper for the channel assignment in multi-channel FD-CRNs. The mixed-integer nonlinear programming（MINLP） problem is transferred to a nonlinear programming（NLP） without constraint problem by penalty function. Moreover，a channel assignment based on genetic algorithm in FD-CRNs is proposed in this paper. The simulation reveals that the algorithm can complete channel assignment and ensure the maximum throughput of the secondary network while considering the complexity and performance of the algorithm.
　　Key words：full-duplex cognitive radio networks; cooperative spectrum sensing; genetic algorithm; channel assignment
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