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2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content最新文献

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Subcarrier and power allocation in cognitive OFDM systems under imperfect CSI with smart channel estimation 基于智能信道估计的认知OFDM系统的子载波和功率分配
Pub Date : 2010-12-06 DOI: 10.1109/ICNIDC.2010.5659458
Xu Mao, Hong Ji
Cognitive radio (CR) employing OFDM has drawn many interests in designing efficient radio resource allocation schemes. Most of the existing works considered the cognitive scenario under perfect knowledge of system state, such as channel state information (CSI) and sensing information (SI). However, it is serious to properly regulate the interference caused by secondary users (SUs) to each primary user (PU). In this paper, we focus on the design and analysis of subcarrier and power allocation scheme under imperfect CSI for cognitive OFDM systems. A smart way using training preamble is presented to obtain the CSI of Rayleigh block-fading channel between the transmitter and receiver. During the training phase, the receiver estimates the channel and feeds the estimate back to the transmitter. During the transmission phase, a two-step algorithm for capacity maximization is proposed to obtain the subcarrier assignment and power allocation for each SU. It is shown by extensive simulation and analysis that, by increasing the number of training symbols, the total capacity can be largely enhanced.
基于OFDM的认知无线电(CR)在设计高效的无线电资源分配方案方面引起了人们的广泛关注。现有的研究大多考虑的是完全了解系统状态的认知场景,如通道状态信息(CSI)和感知信息(SI)。但是,如何合理调节secondary user (secondary user)对每个primary user (primary user)的干扰是一个非常重要的问题。本文重点研究了认知OFDM系统在不完全CSI下的子载波和功率分配方案的设计与分析。提出了一种利用训练前导获取发送端和接收端之间瑞利块衰落信道CSI的智能方法。在训练阶段,接收机估计信道并将估计反馈给发射机。在传输阶段,提出了一种两步容量最大化算法来获得每个SU的子载波分配和功率分配。大量的仿真和分析表明,通过增加训练符号的数量,可以大大提高总容量。
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引用次数: 1
Performance bounds for a cognitive radio network with network calculus analysis 基于网络演算分析的认知无线网络性能边界
Pub Date : 2010-12-06 DOI: 10.1109/ICNIDC.2010.5659456
Yuehong Gao, Yuming Jiang, Tao Lin, Xin Zhang
In this paper, we use stochastic network calculus to analyze the performance bounds for a cognitive radio network with two classes of input traffic. First, stochastic service curves for primary users and secondary users are obtained based on the system model and stochastic network calculus. Then, we derive the general expressions of backlog and delay bounds for both primary and secondary users under two methods, i.e., min-plus convolution and independent case analysis. Finally, numerical results as well as simulation results are compared and discussed.
本文利用随机网络演算分析了具有两类输入流量的认知无线网络的性能边界。首先,基于系统模型和随机网络演算,得到了主用户和次用户的随机服务曲线;然后,在最小加卷积和独立案例分析两种方法下,导出了主用户和次用户的积压界和延迟界的一般表达式。最后,对数值结果和仿真结果进行了比较和讨论。
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引用次数: 8
Spectrum leasing via selective cooperation in distributed cognitive radio networks 分布式认知无线电网络中基于选择性合作的频谱租赁
Pub Date : 2010-12-06 DOI: 10.1109/ICNIDC.2010.5659459
Biling Zhang, Kai Chen, Xuerong Gou, Shiduan Cheng
Cognitive radio (CR) has been widely recognized as a promising paradigm to achieve efficient use of the spectrum resource. While a lot of attention has been paid to the hierarchical access model of CR, the spectrum leasing model in which PUs can actively lease their spectrum to SUs for certain reward has not been studied thoroughly. In this paper, by assuming a PU is willing to lease its bandwidth for a fraction of time to SUs in exchange for selective cooperation, we propose a game model to describe the dynamic interaction between the PU and SUs. In our model, the PU plays a game with each of the potential SUs and selects the best one to cooperate with. We prove that there is always a unique Nash Equilibrium (NE) for each game. Moreover, we propose a simple distributed algorithm for practical implementation of the model. Simulation results verify that our approach can benefit both the PU and the SU in terms of utility and transmission rate.
认知无线电(Cognitive radio, CR)被广泛认为是实现频谱资源高效利用的一种有前途的模式。虽然CR的分层访问模型得到了很多关注,但对于pu主动将其频谱租赁给su并获得一定报酬的频谱租赁模型,研究还不够深入。在本文中,假设一个PU愿意将其带宽租赁一小部分时间以换取选择性合作,我们提出了一个博弈模型来描述PU和su之间的动态交互。在我们的模型中,PU与每个潜在的su进行博弈,并选择最优的su进行合作。我们证明了每个博弈总是存在一个唯一的纳什均衡(NE)。此外,我们还提出了一种简单的分布式算法来实现该模型。仿真结果验证了我们的方法在效用和传输速率方面对PU和SU都有好处。
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引用次数: 5
Secondary user dominated channel reservation in Cognitive Radio 认知无线电中二级用户主导的信道预留
Pub Date : 2010-12-06 DOI: 10.1109/ICNIDC.2010.5659457
Shoufeng Wang, Fan Li, Weidong Wang, Ben Wang, Yinghai Zhang
Channel reservation is used to decrease the drop ratio of secondary users caused by spectrum handover. This paper considers the maintainer of the reserved channels in one secondary system coexisting with multiple primary systems. The global channel reservation scheme, the user channel reservation scheme, and the user-updated channel reservation scheme are proposed, derived by different Markov models. Numerical results show that the global channel reservation scheme performs higher throughput than the user-updated/user channel reservation schemes, while the user-updated channel reservation scheme gains the lowest drop ratio among the three schemes.
信道保留是为了降低频谱切换引起的二次用户掉包率。研究了一个辅助系统与多个主系统共存时保留信道的维护问题。提出了基于马尔可夫模型的全局信道保留方案、用户信道保留方案和用户更新信道保留方案。数值结果表明,全局信道保留方案比用户更新/用户信道保留方案具有更高的吞吐量,而用户更新信道保留方案在三种方案中丢包率最低。
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引用次数: 4
A new denoising method for DS-UWB signal based on wavelet transform modulus maximum 基于小波变换模极大值的DS-UWB信号去噪方法
Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657856
Y. Peng, C. Bai, Qingyan Zhang
Narrowband pulse can be seen as singularity when it is adopted to transmit Direct Sequence Ultra-Wide Band (DS-UWB) signals. The remarkable property of wavelet transform is that it has ability to characterize the singularities of signals. In the UWB system there are different propagation characteristics for the modulus maxima of signal and noise with the increasing decomposition scales, theoretical and experimental results show that wavelet-transform modulus-maximum method can reserve signal singularity and remove the noise effectively. Therefore, wavelet-transform modulus-maxima method is used to extract useful information from DS-UWB signal in low SNR. A new algorithm is proposed in this paper by combining wavelet-transform modulus maximal denoising method with adaptive threshold algorithm. The simulation results show that the new method is efficient in restraining noise and reconstructing the signal.
窄带脉冲在传输直接序列超宽带(DS-UWB)信号时具有奇异性。小波变换的显著特性是它具有表征信号奇异性的能力。在UWB系统中,随着分解尺度的增大,信号和噪声的模极大值具有不同的传播特性,理论和实验结果表明,小波变换模极大值法能有效地保留信号的奇异性,并能有效地去除噪声。因此,在低信噪比条件下,采用小波变换极大模法从DS-UWB信号中提取有用信息。将小波变换模极大值去噪方法与自适应阈值算法相结合,提出了一种新的去噪算法。仿真结果表明,该方法在抑制噪声和重构信号方面是有效的。
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引用次数: 2
Signaling Reduction for inter-RAT cell reselection rat细胞间重选的信号传导减少
Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657803
Yuxuan Li, Hongbo Mo, Xinning Zhu, Zhimin Zeng
In the areas that different radio access technologies (RATs) overlap with each other, multi-mode user equipment devices (UEs) could perform inter-RAT cell reselection in idle mode. This will result in heavy signaling load over the air interface. One key point to resolve this problem is to reduce the frequency of the location area update procedure. In this paper, a method named as Signaling Reduction for Inter-RAT Cell Reselection (SRICR) is proposed. By means of keeping the registration information of two RATs by UEs, it doubles the location areas that UEs could stay in, so the frequency of the location area update procedure is reduced. Based on the analytical model and simulation results, we also analyze the performance of SRICR.
在不同无线接入技术(rat)相互重叠的区域,多模用户设备设备(ue)可以在空闲模式下进行rat小区间的重选。这将导致空中接口上的重信号负载。解决这一问题的一个关键是减少位置区域更新过程的频率。本文提出了一种鼠间细胞重选信号减少(Signaling Reduction for Inter-RAT Cell Reselection, SRICR)方法。通过ue保存两个rat的注册信息,使ue可以驻留的位置区域增加一倍,从而减少了位置区域更新过程的频率。在分析模型和仿真结果的基础上,分析了SRICR的性能。
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引用次数: 0
An effective luggage searching system based on image classification and retrieval 一种有效的基于图像分类与检索的行李检索系统
Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657846
Feng Rao, Yanyun Zhao, A. Cai
In this paper, we propose an efficient luggage searching system based on image classification and retrieval. In this system, we can register and retrieve the luggage automatically. We bring in classification to register images so as to increase the retrieval speed. The Block HSV histogram and the scale invariant feature transform (SIFT) are used for image retrieval. Experiments show that the proposed system has a fast speed and high precision.
本文提出了一种基于图像分类与检索的高效行李检索系统。在这个系统中,我们可以自动登记和提取行李。我们在配准图像时引入了分类,提高了检索速度。采用分块HSV直方图和尺度不变特征变换(SIFT)进行图像检索。实验表明,该系统具有速度快、精度高的特点。
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引用次数: 0
Interference estimation between Home NodeBs for voice services in TDD TDD中语音业务的主节点间干扰估计
Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657821
Feng Wan, Wenyu Li, Yu Liu, Lin Zhang, Zhuocheng Jiang, Haiman Cai
TD-SCDMA HNB is proposed to enhance the capability of TD-SCDMA indoor wireless system, reduce the macro system load and increase the coverage of the service. This paper investigates the interference between HNBs for voice services in TDD model. The interference that each HNB is associated with one single UE is compared with the interference that each HNB is associated with several HUEs. The co-channel interference is also compared with the adjacent-channel interference by system level simulation.
提出TD-SCDMA HNB是为了增强TD-SCDMA室内无线系统的性能,降低系统宏观负荷,增加业务覆盖。本文研究了TDD模型中语音业务中hnb间的干扰问题。将每个HNB与单个UE相关联的干扰与每个HNB与多个hue相关联的干扰进行比较。通过系统级仿真,对同信道干扰与邻接信道干扰进行了比较。
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引用次数: 0
A-PLR: Accumulative backup of mapping information for power loss recovery A-PLR:用于断电恢复的映射信息累积备份
Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657783
Sangyong Lee, Sanghyuk Jung, Y. Song
In NAND flash memory based storage systems, a flash translation layer (FTL) is usually employed to hide shortcomings of NAND flash memory such as erase-before-write and asymmetric read/write response time. Although there are several types of FTLs according to the mapping granularity, it is a recent trend to use a page-level mapping FTL. There are two basic methods of power loss recovery (PLR) schemes for page-level mapping FTL: per-page-unit method and the map block-unit method; however, these methods have shortcomings in term of the recovery time and the mapping information management overhead, respectively. In order to overcome disadvantages of PLR, thus, we propose a novel PLR, named accumulative backup of mapping information for power loss recovery (A-PLR), which provides a stable data recovery performance without any management overhead.
在基于NAND闪存的存储系统中,通常采用一个闪存转换层(FTL)来掩盖NAND闪存的缺点,如写前擦除和读写响应时间不对称。虽然根据映射粒度有几种类型的FTL,但最近的趋势是使用页面级映射FTL。页级映射FTL的功率损耗恢复(PLR)方案有两种基本方法:逐页单元法和映射块单元法;但是,这些方法分别在恢复时间和映射信息管理开销方面存在不足。因此,为了克服PLR的缺点,我们提出了一种新的PLR,即映射信息累加备份用于功率损失恢复(a -PLR),它提供了稳定的数据恢复性能,并且没有任何管理开销。
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引用次数: 2
SemAC algorithm based on the tag semantic distance in network service information extraction 基于SemAC算法的标签语义距离在网络服务信息提取中的应用
Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657798
Xiaochun Wu, Qiuchen Xu, Zhi Zhang, Gang He
The paper analyzed the methods of extracting information from the network traffic, among which the information extraction based on the Tag marker was studied in depth. Tags, which contain specific core words, can be considered as markers of different types of information. Due to the non-standardized nature the Tag marker, a Tag often has lots of interference characters and the traditional pattern matching algorithm may leads to mismatch or poor performance. After analyzing the network service tag characteristics, we presented the Tag word segmenting method and the concept of Tag semantic distance. By introducing the tag semantic distance concept, we improved the Aho-Corasick algorithm to identify the tags which we concerned in extracting network service information. This improved algorithm, SemAC, is based on tag words segmenting and semantic distance calculation by dual-way scanning on words-map. Using this improved AC algorithm based on pre-defined core words, we successfully identified the tags and extracted what we need from the packets stream of web sites. At the end of this paper time complexity is analyzed.
本文分析了从网络流量中提取信息的方法,其中对基于Tag标记的信息提取进行了深入的研究。标签包含特定的核心词,可以看作是不同类型信息的标记。由于标签标记的非标准化性质,标签往往具有大量的干扰特征,传统的模式匹配算法可能导致匹配不匹配或性能不佳。在分析网络服务标签特点的基础上,提出了标签分词方法和标签语义距离的概念。通过引入标签语义距离的概念,对Aho-Corasick算法进行改进,以识别网络服务信息提取中需要关注的标签。该改进的SemAC算法基于标签词切分和词图上双向扫描的语义距离计算。使用改进的基于预定义核心词的AC算法,我们成功地从网站信息流中提取出我们需要的标签。最后对时间复杂度进行了分析。
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引用次数: 0
期刊
2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content
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