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101.
为了解决LEO卫星IP网络中现有源组播算法的信道资源浪费问题,提出了一套新的组播算法。即基于核心群的特定源组播(CSSM)算法和加权的CSSM(ω-CSSM)算法。CSSM算法以源节点作为初始核心群,通过核心群和剩余组成员的最短路径方法逐步扩展直至整棵组播树构建完成,这样所得的树代价最小,从而大大提高了网络的传输带宽利用率和有效传输容量。在ω-CSSM算法中,所提出的加权因子可以调整组播树的树代价和端到端传播时延之间的折衷程度,因此,可以通过调整加权因子柬适度增大树代价、降低端到端传播时延,从而支持某些有严格端到端时延要求的实时组播业务。通过与LEO卫星IP网络中典型源组播算法MRA的仿真比较,可以看出CSSM和ω-CSSM算法的树代价性能比MRA有显著改善,而端到端传播时延略高。 相似文献
102.
提出了一种基于无线传感器网的纺织机械设备监测系统,该系统通过在部署纺织机械上的无线传感器采集数据并传输到基站节点,由基站节点统一对采集数据集中进行分析、处理与展示。详细介绍了系统的体系结构、介质访问控制协议以及系统实现的硬件配置。 相似文献
103.
104.
一种具有较强泛化能力的神经网络模型研究与应用 总被引:3,自引:0,他引:3
分析了影响神经网络模型泛化能力的因素。以电解铝过程中氧化铝浓度的神经网络软测量为例 ,提出了利用先验知识确定网络结构 ,采用特定实验保证样本数量和质量 ,离线训练加在线学习修正模型等措施 ,改善神经网络模型的泛化能力。现场应用表明这些措施是有效的。这样建立的神经网络模型准确 ,泛化能力强 ,为实现过程的先进控制提供了可靠保障 相似文献
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106.
In this paper, we consider an amplify-and-forward (AF) cooperative communication system when the channel state information (CSI) used in relay selection differs from that during data transmission, i.e., the CSI used in relay selection is outdated. The selected relay may not be actually the best for data transmission and the outage performance of the cooperative system will deteriorate. To improve its performance, we propose a relay selection strategy based on maximum a posteriori (MAP) estimation, where relay is selected based on predicted signal-to-noise ratio (SNR). To reduce the computation complexity, we approximate the a posteriori probability density of SNR and obtain a closed-form predicted SNR, and a relay selection strategy based on the approximate MAP estimation (RS-AMAP) is proposed. The simulation results show that this approximation leads to trivial performance loss from the perspective of outage probability. Compared with relay selection strategies given in the literature, the outage probability is reduced largely through RS-AMAP for medium-to-large transmitting powers and medium-to-high channel correlation coefficients. 相似文献
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108.
Recently, unmanned aerial vehicles (UAVs) acting as relay platforms have attracted considerable attention due to the advantages of extending coverage and improving connectivity for long-range communications. Specifically, in the scenario where the access point (AP) is mobile, a UAV needs to find an efficient path to guarantee the connectivity of the relay link. Motivated by this fact, this paper proposes an optimal design for beamforming (BF) and UAV path planning. First of all, we study a dual-hop amplify-and-forward (AF) wireless relay network, in which a UAV is used as relay between a mobile AP and a fixed base station (BS). In the network, both of the AP and the BS are equipped with multiple antennas, whereas the UAV has a single antenna. Then, we obtain the output signal~to-noise ratio (SNR) of the dual-hop relay network. Based on the criterion of maximizing the output SNR, we develop an optimal design to obtain the solution of the optimal BF weight vector and the UAV heading angle. Next, we derive the closed-form outage probability (OP) expression to investigate the performance of the dual-hop relay network conveniently. Finally, computer simulations show that the proposed approach can obtain nearly optimal flying path and OP performance, indicating the effectiveness of the proposed algorithm. Furthermore, we find that increasing the antenna number at the BS or the maximal heading angle can significantly improve the performance of the considered relay network. 相似文献
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110.