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2013 International Conference on Wireless Communications and Signal Processing最新文献

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Transmission mode switching for LTE-Advanced downlink multi-user MIMO systems LTE-Advanced下行链路多用户MIMO系统的传输模式切换
Pub Date : 2013-12-02 DOI: 10.1109/WCSP.2013.6677159
Xiaolong Yu, Shi Jin, Jue Wang
To improve the performance of LTE-Advanced downlink systems, this paper investigates adaptive transmission mode switching between statistical and instantaneous channel state information (CSI) aided, single-user (SU) and multi-user (MU) transmissions. Theoretical studies show that the system performance will have a severe degradation when instantaneous CSI (ICSI) is inaccurate, especially for the MU transmission. In this light, we investigate the switching between ICSI-aided schemes and statistical CSI (SCSI) aided schemes based on achievable rate, which is related to both the channel correlation level, and the inaccuracy level of ICSI. After that, the cell average throughput is evaluated through system-level simulations. It's shown that the performance of SCSI-aided mode is as good as the corresponding ICSI-aided mode when the channel correlation is large enough, and SCSI varies slow and SCSI-aided schemes are more robust than ICSI-aided schemes. Therefore, SCSI-aided modes should be activated when the inaccuracy level of ICSI is high.
为了提高LTE-Advanced下行链路系统的性能,本文研究了统计和瞬时信道状态信息(CSI)辅助、单用户(SU)和多用户(MU)传输之间的自适应传输模式切换。理论研究表明,当瞬时CSI (ICSI)不准确时,系统性能会严重下降,特别是对于MU传输。在这种情况下,我们研究了基于可实现率的ICSI辅助方案和统计CSI (SCSI)辅助方案之间的切换,这既与通道相关水平有关,也与ICSI的不准确程度有关。然后,通过系统级模拟评估单元的平均吞吐量。结果表明,当通道相关性足够大时,SCSI辅助模式的性能与相应的icsi辅助模式一样好,SCSI变化缓慢,SCSI辅助方案比icsi辅助方案具有更强的鲁棒性。因此,当ICSI的不准确程度较高时,应该激活scsi辅助模式。
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引用次数: 0
The demonstration of wireless access via visible light communications 通过可见光通信进行无线接入的演示
Pub Date : 2013-12-02 DOI: 10.1109/WCSP.2013.6677072
L. Ding, Fang Liu, Zhiqiang Yu, Yongjin Wang
Wireless data transmission via visible light has been significantly explored with the development of white-LED. In this paper, we report a wireless access system via visible light communication (VLC) technology. In our demonstration, the custom-made USB board serves as the transceiver consisting of a LED-based transmitter and a photodiode-based receiver. Two USB boards are connected to two computers respectively, constructing a communication system. One computer, or an ARM development board being linked to the network acts as a router enables computer to have access to Internet via the visible light channel. The prototype demonstrates a transmission data rate up to 460800 baud without packet loss at a distance of 30cm. A 0.3W white LED is used and a 10-6 bit error ratio (BER) is achieved. The eye diagram performance of the VLC system is presented as well as the packet loss of the visible light link.
随着白光led的发展,可见光无线数据传输得到了极大的探索。本文报道了一种基于可见光通信(VLC)技术的无线接入系统。在我们的演示中,定制的USB板作为收发器,由基于led的发射器和基于光电二极管的接收器组成。两块USB板分别连接两台计算机,构成一个通信系统。连接到网络的一台计算机或ARM开发板充当路由器,使计算机能够通过可见光通道访问互联网。该样机演示了在30厘米距离内传输数据速率高达460800波特而不丢包。使用0.3W白光LED,实现10-6比特误码率(BER)。给出了VLC系统的眼图性能以及可见光链路的丢包情况。
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引用次数: 10
A new PSS design and identification for global coverage multi-beam S-LTE using generalized Zadoff-Chu sequences 基于广义Zadoff-Chu序列的全球覆盖多波束S-LTE PSS设计与辨识
Pub Date : 2013-12-02 DOI: 10.1109/WCSP.2013.6677043
Zhuming Deng, Haiming Wang, Mingkai Tang, Xiqi Gao, X. You
The original Zadoff-Chu sequences are firstly generalized to obtain more candidate sequences with good correlation properties for Primary Synchronization Signal (PSS) of LTE. Then, a new PSS sequence design method for global coverage multi-beam satellite LTE (S-LTE) using generalized Zadoff-Chu sequences is proposed. Furthermore, an efficient and low-complexity PSS identification algorithm is presented. Finally, simulation results show the effectiveness of the proposed scheme.
首先对原有的Zadoff-Chu序列进行推广,得到更多具有良好相关特性的候选序列用于LTE主同步信号(PSS)。然后,提出了一种基于广义Zadoff-Chu序列的全球覆盖多波束卫星LTE (S-LTE) PSS序列设计新方法。在此基础上,提出了一种高效、低复杂度的PSS识别算法。最后,仿真结果表明了所提方案的有效性。
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引用次数: 0
Detection of primary user emulation attacks based on compressive sensing in cognitive radio networks 认知无线网络中基于压缩感知的主用户仿真攻击检测
Pub Date : 2013-12-02 DOI: 10.1109/WCSP.2013.6677144
Manman Dang, Zhifeng Zhao, Honggang Zhang
In this paper, we introduce the idea of compressive sensing (CS) into primary user emulation attack (PUEA) detection in cognitive radio networks. We can distinguish whether the signal transmitters are primary users or PUEAs by obtaining the locations of transmitters through processing the received signal strength (RSS) readings. Since the RSS has redundancy in spatial domain, we employ CS theory to save the number of measurement sensors and messages need to be collected. Additionally, the number of measurements is dominated by the number of PUEA being sensed, the conventional algorithms with fixed measurement number have poor performances in physical situations where number of PUEA is unknown and changing. So, we propose an adaptive orthogonal matching pursuit algorithm (AOMP) to adapt to the changing cases of PUEA. Simulation results show that the location reconstruction of changing PUEA by AOMP algorithm outperforms traditional OMP algorithm with better accuracy. As a result, the channel utilization can be greatly improved.
本文将压缩感知(CS)思想引入到认知无线网络中的主用户仿真攻击(PUEA)检测中。通过处理接收到的信号强度(RSS)读数,得到发射机的位置,可以区分信号发射机是主用户还是puea。由于RSS在空间域中具有冗余性,我们采用CS理论来节省测量传感器的数量和需要收集的信息。此外,测量次数受被感测PUEA数量的支配,传统固定测量次数的算法在PUEA数量未知且不断变化的物理情况下性能较差。为此,我们提出了一种自适应正交匹配追踪算法(AOMP)来适应PUEA的变化情况。仿真结果表明,AOMP算法对变化PUEA的位置重建优于传统的OMP算法,精度更高。因此,可以大大提高信道利用率。
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引用次数: 8
Multi-sector joint beamforming for pilot coverage optimization 导频覆盖优化的多扇区联合波束形成
Pub Date : 2013-12-02 DOI: 10.1109/WCSP.2013.6677137
Dongdong Fan, Zhouyun Wu, Aiping Huang, Hangguan Shan, H. Zhuang
Coverage optimization is an important task which directly affects the performance of cellular networks. The signal-to-interference and noise ratio (SINR) is a key metrics for evaluating coverage effect and its ability of resisting radio propagation condition variation. It is difficult to improve the ability of the pilot coverage of multiple sectors to resist environment variation simultaneously by using the existing methods. In this paper, a novel coverage optimization method based on multi-sector joint beamforming is proposed to maximize the minimum SINR of the sectors. An iterative algorithm is then developed to obtain antenna array excitation weights. Simulation results show that the performance of our algorithm is superior to that of the existing algorithm.
覆盖优化是直接影响蜂窝网络性能的一项重要任务。信噪比(SINR)是评价覆盖效果及其抵抗无线电传播条件变化能力的关键指标。现有方法难以提高多航段试点覆盖同时抵抗环境变化的能力。本文提出了一种基于多扇区联合波束形成的覆盖优化方法,使各扇区的最小信噪比最大化。然后提出了一种迭代算法来获得天线阵列的激励权。仿真结果表明,该算法的性能优于现有算法。
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引用次数: 0
A novel load balancing scheme in LTE and WiFi coexisted network for OFDMA system 在LTE和WiFi共存的OFDMA网络中提出了一种新的负载均衡方案
Pub Date : 2013-12-02 DOI: 10.1109/WCSP.2013.6677253
Zunli Yang, Qinghai Yang, Fenglin Fu, K. Kwak
In this paper, a novel load balancing scheme is conceived for the OFDMA LTE cellular and WiFi coexisted network. The mobile index is introduced to measure the mobility of user equipments (UE) in the coverage of WiFi hotspots and the access index is calculated by considering both mobile index and the received power from WiFi access points (AP) to determine the UE's access pattern. The load balance entity manages the UE load in coexistent network dynamically. A load balancing algorithm is developed to balance the network load measured by the ratio of the average WiFi load to the LTE cell load as well as the Jain's fairness index. Simulation results demonstrate the proposed algorithm can acquire an improvement in network load balancing, thus enhancing the overall system throughput.
本文提出了一种新的OFDMA LTE蜂窝和WiFi共存网络的负载均衡方案。引入移动指数来衡量WiFi热点覆盖范围内用户设备(UE)的移动性,通过考虑移动指数和WiFi接入点(AP)接收功率来计算接入指数,确定UE的接入模式。负载均衡实体对共存网络中的终端负载进行动态管理。开发了一种负载平衡算法,通过WiFi平均负载与LTE蜂窝负载的比率以及Jain公平性指数来平衡网络负载。仿真结果表明,该算法可以改善网络负载均衡,从而提高系统的整体吞吐量。
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引用次数: 18
Multichannel blind deconvolution of complex I/Q independent sources with phase recovery 具有相位恢复的复I/Q独立源的多通道盲反卷积
Pub Date : 2013-12-02 DOI: 10.1109/WCSP.2013.6677166
Fang-lin Gu, Hang Zhang, Yi Xiao
Multichannel blind deconvolution (MBD) techniques allow recovery of individual source signals from observed mixtures, exploiting only the assumption of mutual independence of sources. Generally, complex signals are recovered with an arbitrary phase rotation. In this paper, we propose two constrained MBD algorithms to separate complex sources and remove the phase ambiguities simultaneously when the sources have independent in-phase and quadrature (I/Q) components. The algorithms apply the MBD techniques to real-valued signals, which are composed by the real and imaginary parts of the complex-valued sources, and impose constraint on the structure of separating filter to avoid the so-called I/Q associated problem. Simulation results demonstrate that the proposed algorithms are effective in recovering source phases without affecting source separation.
多通道盲反卷积(MBD)技术允许从观测到的混合信号中恢复单个源信号,仅利用源相互独立的假设。一般来说,用任意相位旋转恢复复信号。在本文中,我们提出了两种约束MBD算法来分离复杂源并同时去除具有独立的同相分量和正交分量(I/Q)的相位模糊。该算法将MBD技术应用于由复值源的实部和虚部组成的实值信号,并对分离滤波器的结构施加约束,以避免所谓的I/Q关联问题。仿真结果表明,该算法能够在不影响源分离的情况下有效地恢复源相位。
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引用次数: 1
Enhanced data detection in OFDM systems using factor graph 利用因子图增强OFDM系统的数据检测
Pub Date : 2013-12-02 DOI: 10.1109/WCSP.2013.6677025
Jinda Yang, Qinghua Guo, D. Huang, S. Nordholm
In OFDM systems, the cyclic prefix (CP) eliminates the interblock interference and enables the use of the computationally efficient single-tap equalizers at the receiver. While posing a loss in both spectrum efficiency and power efficiency, the CP brings extra information about the data which can be used for detection. Therefore, instead of discarding the CP as in the conventional OFDM systems, this paper takes advantage of the prefix redundancy and utilizes it in the soft-input soft-output equalizer of a turbo equalization system. By using factor graph, an equalization algorithm is developed, and with proper approximation, the complexity of the proposed algorithm is reduced to O(2Rlog2N + 4RG/N log2G + 2RG/N) per data symbol for R iterations, where N is the length of the block and G is equal to P + L - 1 with P the CP length and L the channel length. Simulation results show that the turbo equalization system converges within two iterations and the proposed equalization approach achieves significant gain compared to the conventional approach.
在OFDM系统中,循环前缀(CP)消除了块间干扰,并允许在接收端使用计算效率高的单抽头均衡器。虽然造成频谱效率和功率效率的损失,但CP带来了可用于检测的数据的额外信息。因此,本文没有像传统的OFDM系统那样丢弃CP,而是利用前缀冗余并将其应用于turbo均衡系统的软输入软输出均衡器中。利用因子图,提出了一种均衡算法,通过适当的近似,将算法的复杂度降低到每个数据符号0 (2Rlog2N + 4RG/N log2G + 2RG/N),迭代R次,其中N为块长度,G等于P + L - 1,其中P为CP长度,L为信道长度。仿真结果表明,该均衡系统在2次迭代内收敛,与传统均衡方法相比,该均衡方法获得了显著的增益。
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引用次数: 1
Closely spaced multipath mitigation in GNSS receiver based on maximum likelihood estimation 基于最大似然估计的GNSS接收机紧密间隔多径缓解
Pub Date : 2013-12-02 DOI: 10.1109/WCSP.2013.6677035
Gao Yan, Li Qing
Multipath is the dominant source of positioning error in modern GNSS receiver. Maximum likelihood (ML) parameter estimation is an optimal method to mitigate the multipath effects while ML involves nonlinear optimization and requires iterative algorithms. Iterative methods usually lack of global convergence when the paths are closely spaced, if the initial value is arbitrarily assigned. In this paper, however, we first employ a grid search method to choose the initial value before iteration. Most computation of the grid search can be done offline. After that, an iterative method with simple forms is used to improve the parameter accuracy and global convergence can be achieved with just a few iterations. The simulations results show the estimator of time delay is almost unbiased when the time relative delay of two paths is larger than 0.20 chips.
多径是现代GNSS接收机定位误差的主要来源。最大似然(ML)参数估计是缓解多径效应的最优方法,而ML涉及非线性优化,需要迭代算法。当路径间隔很近时,如果初始值是任意分配的,迭代方法通常缺乏全局收敛性。然而,在本文中,我们首先采用网格搜索方法在迭代前选择初始值。网格搜索的大部分计算可以离线完成。然后,采用形式简单的迭代方法提高参数精度,只需几次迭代即可实现全局收敛。仿真结果表明,当两个路径的时间相对延迟大于0.20芯片时,时延估计器几乎是无偏的。
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引用次数: 3
Compressed sensing enabled narrowband interference mitigation for IR-UWB systems 压缩感知实现了IR-UWB系统的窄带干扰缓解
Pub Date : 2013-12-02 DOI: 10.1109/WCSP.2013.6677177
N. Chen, Shaohua Wu, Yunhe Li, Bin Cao
Compressed sensing (CS) is an emerging theory that enables the reconstruction of sparse signals from a small set of random measurements. Because of the sparsity of impulse radio ultra-wideband (IR-UWB) signals in the time domain, CS makes it possible to operate at sub-Nyquist rates for IR-UWB communications where Nyquist sampling represents a formidable challenge. However, strong narrowband interference (NBI) still seriously affects the system. In this paper, by observing that the NBI signal is approximately sparse in the discrete Fourier transform (DFT) domain, a novel NBI estimation and mitigation scheme is proposed. By estimating the subspace of NBI and then feeding back the NBI nullspace, a compressive measurement matrix is designed to mitigate the NBI effectively while collecting useful signal energy. Theoretical analysis and simulation results show that NBI can be effectively mitigated using sub-Nyquist samples of a received signal in the IR-UWB communication system based on CS.
压缩感知(CS)是一种新兴的理论,它能够从一小组随机测量中重建稀疏信号。由于脉冲无线电超宽带(IR-UWB)信号在时域中的稀疏性,CS使得以亚奈奎斯特速率运行IR-UWB通信成为可能,而奈奎斯特采样是一个巨大的挑战。然而,强窄带干扰(NBI)仍然严重影响着系统。本文通过观察NBI信号在离散傅里叶变换(DFT)域中近似稀疏的特点,提出了一种新的NBI估计和抑制方案。通过估计NBI的子空间,然后反馈NBI的零空间,设计一个压缩测量矩阵,在收集有用信号能量的同时有效地缓解NBI。理论分析和仿真结果表明,在基于CS的IR-UWB通信系统中,利用接收信号的亚奈奎斯特采样可以有效地缓解NBI。
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引用次数: 11
期刊
2013 International Conference on Wireless Communications and Signal Processing
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