认知无线网络中基于混合频谱切换的最优目标信道选择算法

发布时间：2018-06-18 18:39

本文选题：认知无线电 + 信道选择　；参考：《电子与信息学报》2017年01期

【摘要】：在主动频谱切换中,预先确定目标信道存在高失效风险,从而增加切换时延的问题。该文提出一种基于混合主被动频谱切换的最优目标信道选择算法。该算法结合主动频谱切换和被动频谱切换的优点,引入最小累积切换时延评价标准,综合考虑次用户的多次中断、主用户的到达率和非理想频谱检测对次用户累积切换时延的影响,并详细分析和推导了非理想检测下次用户的累积切换时延。仿真表明,相较于主动和被动频谱切换中目标信道选择策略,在信道状态变化频繁或业务量较大等极端情况下,该算法的性能优势尤为明显。
[Abstract]:In active spectrum switching, there is a high failure risk in the target channel predetermining the target channel, thus increasing the handoff delay. In this paper, an optimal target channel selection algorithm based on mixed primary and passive spectrum switching is proposed. This algorithm combines the advantages of active spectrum switching and passive spectrum switching, and introduces the minimum cumulative switching time delay evaluation standard. Considering the multiple interrupts of the secondary users, the influence of the arrival rate of the main user and the non ideal spectrum detection on the cumulative switching delay of the secondary users, the non ideal detection of the cumulative switching delay of the next user is analyzed and deduced in detail. The simulation shows that the channel state changes frequency in the channel state than the target channel selection strategy in the active and passive spectrum switching. In extreme cases such as complex business or large traffic volume, the performance advantage of the algorithm is particularly obvious.
【作者单位】：重庆邮电大学移动通信技术重点实验室;
【基金】：国家自然科学基金(61271259,61301123,61471076) 重庆市基础与前沿研究计划(cstc2015jcyj A40047) 重庆邮电大学博士启动基金(A2014-10,A2015-16)~~
【分类号】：TN925

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