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    题名 作者 年代 出处 被引量
1Traffic-Adaptive Proactive Spectrum Handoff Strategy for Graded Secondary Users in Cognitive Radio Networks显示文摘In order to meet different delay requirements of various communication services in Cognitive radio(CR) networks, Secondary users(SUs) are divided into two classes according to the priority of accessing to spectrum in this paper. Based on the proactive spectrum handoff scheme, the Preemptive resume priority(PRP) M/G/1queueing is used to characterize multiple spectrum handoffs under two different spectrum handoff strategies. The traffic-adaptive spectrum handoff strategy is proposed for graded SUs so as to minimize the average cumulative handoff delay. Simulation results not only verify that our theoretical analysis is valid, but also show that the strategy we proposed can reduce the average cumulative handoff delay evidently. The effect of service rate on the proposed spectrum switching point and the admissible access region are provided.ZHANG Lei SONG Tiecheng WU Ming BAO Xu GUO Jie HU Jing 2015Chinese Journal of Electronics2015,24,4:6
2Time Agility Optimization for Dual-stage Collaborative Spectrum Sensing显示文摘Cooperative spectrum sensing has been shown to be an effective method to mitigate the impact of hidden terminal and shadow fading in cognitive radio networks. Currently most works focused on either cooperative sensing or sensing scheduling as a viable means to improve the detection performance without studying their interactions. This paper proposed a dynamic and variable time-division multiple-access scheduling mechanism that was incorporated into a Dual-stage collaborative spectrum sensing(DCSS) model in a less ideal radio environment.Moreover, this paper derived closed-form expressions of sensing time for DCSS, and addressed the critical range of timeslot length. An optimized algorithm to minimize sensing time was deduced and verified. The simulation results indicate that average sensing time with DCSS is shortened by 11.5% when compared with that of the Single collaborative spectrum sensing(SCSS) while guaranteeing detection error rate requirement of less than 1%.CUI Cuimei WANG Yiming 2014Chinese Journal of Electronics2014,23,2:1
3非完全信息环境中一种基于隐马尔科夫的博弈式功率控制机制显示文摘针对非完全信息环境下认知无线网络中的分布式功率控制问题,根据不同非授权用户对信道检测结果的差异,以及信道检测结果的非独立性,提出了一种基于隐马尔科夫模型的功率博弈机制.非授权用户可利用该模型推测其它非授权用户是否参与博弈,从而提升了博弈的信息准确度,使得非授权用户能够选择更优的发射功率.仿真表明,该功率控制机制在保证通信质量的前提下能够获得更大的容量功率比,具有更好的功率效率.朱江 张玉平 2016电子学报2016,44,12:1
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