Cross-layer modeling of adaptive wireless links for QoS support in heterogeneous wired-wireless networks

Future wired-wireless multimedia networks require diverse quality-of-service (QoS) support. To this end, it is essential to rely on QoS metrics pertinent to wireless links. In this paper, we develop a cross-layer model for adaptive wireless links, which enables derivation of the desired QoS metrics analytically from the typical wireless parameters across the hardware-radio layer, the physical layer and the data link layer. We illustrate the advantages of our model: generality, simplicity, scalability and backward compatibility. Finally, we outline its applications to power control, TCP, UDP and bandwidth scheduling in wireless networks. The work by Q. Liu and G. B. Giannakis are prepared through collaborative participation in the Communications and Networks Consortium sponsored by the U.S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0011. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. The work by S. Zhou is supported by UConn Research Foundation internal grant 445157. Qingwen Liu (S’04) received the B.S. degree in electrical engineering and information science in 2001, from the University of Science and Technology of China (USTC). He received the M.S. degree in electrical engineering in 2003, from the University of Minnesota (UMN). He currently pursues his Ph.D. degree in the Department of Electrical and Computer Engineering at the University of Minnesota (UMN). His research interests lie in the areas of communications, signal processing, and networking, with emphasis on cross-layer analysis and design, quality of service support for multimedia applications over wired-wireless networks, and resource allocation. Shengli Zhou (M’03) received the B.S. degree in 1995 and the M.Sc. degree in 1998, from the University of Science and Technology of China (USTC), both in electrical engineering and information science. He received his Ph.D. degree in electrical engineering from the University of Minnesota, 2002, and joined the Department of Electrical and Computer Engineering at the University of Connecticut, 2003. His research interests lie in the areas of communications and signal processing, including channel estimation and equalization, multi-user and multi-carrier communications, space time coding, adaptive modulation, and cross-layer designs. He serves as an associate editor for IEEE Transactions on Wireless Communications since Feb. 2005. G. B. Giannakis (Fellow’97) received his Diploma in Electrical Engineering from the National Technical University of Athens, Greece, 1981. From September 1982 to July 1986 he was with the University of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engineering, 1986. After lecturing for one year at USC, he joined the University of Virginia in 1987, where he became a professor of Electrical Engineering in 1997. Since 1999 he has been a professor with the Department of Electrical and Computer Engineering at the University of Minnesota, where he now holds an ADC Chair in Wireless Telecommunications. His general interests span the areas of communications and signal processing, estimation and detection theory, time-series analysis, and system identification -- subjects on which he has published more than 200 journal papers, 350 conference papers and two edited books. Current research focuses on transmitter and receiver diversity techniques for single- and multi-user fading communication channels, complex-field and space-time coding, multicarrier, ultra-wide band wireless communication systems, cross-layer designs and sensor networks. G. B. Giannakis is the (co-) recipient of six paper awards from the IEEE Signal Processing (SP) and Communications Societies (1992, 1998, 2000, 2001, 2003, 2004). He also received the SP Society’s Technical Achievement Award in 2000. He served as Editor in Chief for the IEEE SP Letters, as Associate Editor for the IEEE Trans. on Signal Proc. and the IEEE SP Letters, as secretary of the SP Conference Board, as member of the SP Publications Board, as member and vice-chair of the Statistical Signal and Array Processing Technical Committee, as chair of the SP for Communications Technical Committee and as a member of the IEEE Fellows Election Committee. He has also served as a member of the IEEE-SP Society’s Board of Governors, the Editorial Board for the Proceedings of the IEEE and the steering committee of the IEEE Trans. on Wireless Communications.     

Robust H∞ Filtering of Delayed Singular Systems with Linear Fractional Parametric Uncertainties

This paper deals with the robust H_∞ filtering problem for a class of uncertain singular systems with time delays. The uncertainty under consideration is of a linear fractional form. A sufficient condition for the existence of a full-order H_∞ filter is given in terms of matrix inequalities. When a scalar variable in the matrix inequalities is fixed, the condition can be expressed in terms of linear matrix inequalities (LMIs). The desired H_∞ filter can be obtained by solving these LMIs. Two numerical examples are given to demonstrate the application of the proposed method.     

Automated segmentation, classification, and tracking of cancer cell nuclei in time-lapse microscopy

Quantitative measurement of cell cycle progression in individual cells over time is important in understanding drug treatment effects on cancer cells. Recent advances in time-lapse fluorescence microscopy imaging have provided an important tool to study the cell cycle process under different conditions of perturbation. However, existing computational imaging methods are rather limited in analyzing and tracking such time-lapse datasets, and manual analysis is unreasonably time-consuming and subject to observer variances. This paper presents an automated system that integrates a series of advanced analysis methods to fill this gap. The cellular image analysis methods can be used to segment, classify, and track individual cells in a living cell population over a few days. Experimental results show that the proposed method is efficient and effective in cell tracking and phase identification.     

Downlink transmission of broadband OFCDM systems-part III: turbo-coded

Orthogonal frequency and code-division multiplexing (OFCDM) systems have been introduced for high-speed data transmission in future wireless mobile communications. In this paper, a hybrid multicode interference cancellation (MCI) and minimum mean-square error (MMSE) detection scheme is presented for the turbo-coded OFCDM systems. Channel estimation based on a code-multiplexed pilot channel is employed. The weights of the hybrid detection are derived theoretically and an effective method to generate the weights in practical applications is proposed. By means of computer simulation, the effects of system parameters on the performance are studied extensively. It is shown that the hybrid detection outperforms pure MMSE detection in various channel conditions, especially for high-level modulation schemes. To carry out interference regeneration for the hybrid detection, the conventional turbo decoding algorithm which only decodes systematic bits should be extended to decode parity bits as well. Moreover, two iterations in turbo decoding are sufficient to provide good performance for the system with the multistage hybrid detection. Finally, given time-domain spreading factor N/sub T/, the system performance improves with frequency-domain spreading factor N/sub F/. However, the frequency diversity gain is saturated when N/sub F/ is large (i.e., N/sub F//spl ges/16).     

光传输网中DWDM技术在广电网络中的应用研究

采用光传输的DWDM技术扩展运营商的网络带宽,不仅极大地利用了有限而且昂贵的光缆资源,而且增加了光纤带宽的利用率,还降低了整个系统的维护和建设成本.首先对DWDM技术进行了介绍;然后通过对达州广电城域网的业务网络带宽需求量的分析,再结合实际情况量身定制了达州广电网络的建设方案;还对达州广电整个OTN网络中DWDM设备的实际应用情况进行了分析,从网络规划、设备确定、设备安装和调试、承载业务等方面详细阐述了DWDM设备在承载网络中的实际应用.     

提高感应电能传输效率的研究

非接触式感应电能传输系统（ICPT）是一种新型的电能传输技术,通过感应电磁耦合向负载提供电能。ICPT的关键部件是松耦合变压器（也叫可分离变压器）它的耦合系数较低,制约着传输效率。本文对非接触感应电能传输系统进行了系统的介绍,并且分析了磁芯材料、工作频率、气隙大小等关键参数对传输效率的影响,着重讨论了可分离变压器的初次级绕组的补偿问题,并且给出了补偿电路的设计方案。     

基于局部结构张量的红外图像背景抑制

文中将局部结构张量与双边滤波相结合,提出了一种基于局部结构张量的红外图像结构化背景抑制算法。该算法采用局部结构张量的标准差作为双边滤波的执行判定,并利用双边滤波加权系数实现背景估计,从而实现结构化背景抑制和目标信息增强。实验结果显示,与二维最小均方滤波和偏微分方程算法相比,该算法对含有弱小目标的复杂背景具有良好抑制效果。     

Transmission Power Control and Routing Strategy Based on Differential Games in Deep Space Exploration

The spectrum resource is a kind of scarce resource in the deep space exploration, the total bandwidth need for deep space communication is related to the required data rates, the number of spacecrafts, and the extent of spectrum frequency sharing. Future requirements of deep space communication may need to accommodate more spacecrafts within a particular band allocation, so the spread spectrum and multiple access techniques are widely used in deep space communications. And for the purpose of save power and reduce mutual interference, transmission power control may be introduced in the communication process. In this paper, a noncooperative differential game is proposed, and a power control algorithm is get from the equilibrium of the game, the results show that the algorithm can effectively reduce mutual interference, and also provide a way of route setup through relay nodes selection.     

Packet Delay Statistics of the Multichannel Selective-Repeat Automatic-Repeat-Request

In this paper, we conduct stochastic modeling and analysis of the packet end-to-end delay in a multichannel selective-repeat automatic-repeat-request (MSR-ARQ) protocol. In this protocol, the transmitter continuously transmits packets over multiple parallel channels and retransmits erroneously received packets with either dynamic or static packet-to-channel scheduling policy. Under the assumption that packets are always supplied at the transmitter, denoted by the saturated traffic condition, we analyze the steady state probability distribution function of the delay of an arbitrary packet, which is measured by the duration between the instant at which the packet is transmitted for the first time and the time it departs from the resequencing queue at the receiver. Using the analysis result, we numerically compute the distribution function for chosen values of the number of channels and the error rates to demonstrate the computational effectiveness of the result. With numerical and simulation results, we then study the performance of MSR-ARQ in terms of the mean packet delay and compare the two scheduling policies. It is shown that the dynamic scheduling achieves a better packet delay performance than the static scheduling. With the dynamic scheduling and the presence of difference between the error rates of parallel channels, the mean packet delay decreases as the difference between channels?? error rates increases. Moreover, the number of parallel channels has an insignificant impact on the mean packet delay, which shows that the use of parallel channels is favorable for the wireless or mobile communications to increase the data transmission rate while keeping the mean packet delay at an acceptable level.     

一种Ares协议的精确识别方法

针对单独的深度数据包检测(Deep packet inspection,DPI)技术无法识别加密报文,以及基于流量特征识别方法对流量检测的模糊性等问题,采用DPI和基于流量特征相结合的方法来对Ares协议进行精确的识别,以提高对Ares协议的识别效果,实验表明准确率可以达到97％以上.