认知无线网络的协同信源数估计

Samuli Tiiro, K. Umebayashi, Yasuo Suzuki
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引用次数: 0

摘要

在本文中,我们考虑了一个认知无线电(CR)网络,该网络使用空间频谱共享(SS)在许可主用户(PU)保留的频谱上运行。当辅助用户(su)配置多天线时,通过将辅助传输与干扰信道正交,可以在不干扰PU的情况下进行SS。为了避免干扰并使二次传输的容量最大化,系统必须确定正交传输空间的尺寸。在没有PU提供合作的CR网络中,可以通过估计次要终端上的主传输流的数量来获得该信息。研究了二次网络采用最小描述长度(MDL)算法进行协同估计以获得独立估计时的问题,提出了一种考虑MDL估计偏差的决策融合规则。我们将证明所提出的方法可以优于传统的决策融合规则,并且在估计误差的情况下为PU提供额外的保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative source number estimation for cognitive radio networks
In this paper, we consider a cognitive radio (CR) network operating on a spectrum reserved for licensed primary user (PU) by employing spatial spectrum sharing (SS). When the secondary users (SUs) are equipped with multiple antennas, they can perform SS without interfering with the PU by orthogonalizing the secondary transmission with the interference channel . In order to avoid interference and to maximize the capacity of the secondary transmissions, it is essential that the SUs determine the dimension of the orthogonal transmission space. In CR networks where no cooperation is provided by the PU, this information can be obtained by estimating the number of primary transmit streams at the secondary terminals. We study this issue when the secondary network performs cooperative estimation by using the minimum description length (MDL) algorithm to obtain the independent estimates and propose a decision fusion rule which takes into account the estimation bias of MDL. We will show that the proposed method can outperform conventional decision fusion rule and that it provides additional protection for the PU in the case of estimation error.
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