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检索条件"机构=Key Laboratory of Trustworthy Distributed Computing and Servic"

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Generalized likelihood ratio test multiple-symbol detection for MIMO-UWB: A semidefinite relaxation approach

Generalized likelihood ratio test multiple-symbol detection ...

引用

IEEE Conference on Wireless Communications and Networking

作者： Chanfei Wang Tiejun Lv Hui Gao Anzhong Hu Yueming Lu Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China Singapore University of Technology and Design Singapore

ISBN: (纸本)9781479930845

In this paper, semidefinite relaxation (SDR) technology is exploited for the multiple-symbol detection (MSD) over the multiple-input multiple-output (MIMO) ultra-wideband (UWB) systems. The existing scheme generalized likelihood ratio test (GLRT) MSD jointly detect multiple symbols, however, it entails a complexity of O(2 M ), where M is the observation window size. To this end, SDR is employed to reformulate the GLRT detection into a semidefinite programming (SDP) model, and two detectors, randomization-SDR (RSDR) and eigenvector-SDR (ESDR) are proposed on the order of O(M 3.5 ) and O(M 3 ), respectively. Complexity analysis validates that the SDR-MSD strategy is desirable owing to its reduced complexity, compared with the exponential-complexity sphere decoding (SD) MSD. Furthermore, Monte-Carlo simulations demonstrate that the proposed SDR detectors provide the bit error rate (BER) performance almost the same with that of the SD method, and the RSDR outperforms the ESDR at the price of slightly higher complexity.

关键词： Complexity theory Detectors Bit error rate Transmitting antennas Matrix converters Receiving antennas Optimization

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An optimized first path detector for UWB ranging using error characteristics

An optimized first path detector for UWB ranging using error...

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IEEE Conference on Wireless Communications and Networking

作者： Hong Cai Tiejun Lv Hui Gao Anzhong Hu Yueming Lu Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China Singapore University of Technology and Design Singapore

ISBN: (纸本)9781479930845

The key of time of arrival (TOA) estimation in ultra wideband (UWB) ranging is to detect the first path (FP). In this paper, we propose an optimized FP detector with the adaptive threshold in the absence of prior channel state information (CSI). In particular, the error information (EI) set is introduced to guide the threshold adjustment and determine the TOA estimate with a novel iterative algorithm. The EI set captures the characteristics of major errors regarding the inappropriate threshold. After the iterative process, the proposed scheme is shown to achieve the asymptotic optimal threshold without large number of repeated pulses. Therefore, the proposed scheme efficiently improves the TOA estimation accuracy as compare to the traditional schemes. Simulation results validate the effectiveness and superiority of the proposed scheme.

关键词： error analysis iterative methods time-of-arrival estimation ultra wideband technology wireless channels CSI EI set TOA estimation UWB ranging adaptive threshold asymptotic optimal threshold channel state information error characteristic error information iterative process algorithm optimized FP detector optimized first path detector threshold adjustment time of arrival estimation ultrawideband ranging

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WORD distributed REPRESENTATION BASED TEXT CLUSTERING

WORD DISTRIBUTED REPRESENTATION BASED TEXT CLUSTERING

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2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Shan Feng Ruifang Liu Qinlong Wang Ruisheng Shi School of Information and Communication Engineering BUPT Education Ministry Key Laboratory of Trustworthy Distributed Computing and Service BUPT School of Humanities BUPT

The fast growth of Internet web documents has posed new challenges on how to efficiently and accurately manage and retrieve the textual collections,text clustering plays a significant *** document clustering is an unsupervised categorization of a given document collection based on vector space model,which is a high sparse *** this paper,we propose a means to fight the existing shortcomings with a word vector in distributed representation which is obtained from a neural probabilistic language *** improve the representation of document vector and enhance the accuracy of text clustering,we first computing semantic similarities between words using word embedded vector,and then expanding the keywords of each *** experiment results show the method can improve the accuracy of clustering.

关键词： Word distributed representation keyword extension NMF

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Epdemic spreading model based overlapping community detection

Epdemic spreading model based overlapping community detectio...

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International Conference on Advances in Social Network Analysis and Mining, ASONAM

作者： Ying Wen Yuanhao Chen Xiaolong Deng International School Beijing University of Posts and Telecommunications China Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications China

Community detection in inhomogeneous structured network is an attractive research problem that searches for methods to discover groups in which individuals are more densely interconnected with each other with higher probability of internal information propagation. While most of the previous approaches attempt to divide networks into communities according to the algorithm results of network or edge measurement, Label Propagation Algorithm (LPA) adopts semi-supervised machine learning and implements community detection in an intelligent way with the automatic convergent process of network entity label iteration. In this work, we study the early community detection approaches, explore the low efficacy and stagnant converging rate of LPA in its response to network with overlapped communities, and propose a new approach for community detection using epidemic spreading virus to discover groups with super positioned members. Extensive experiments in synthetic signed network and real-life large networks derived from Internet social media are conducted to explore the optimal mechanism of the most suitable community-detecting virus infection.

关键词： Communities Social network services Kernel Media Mathematical model Educational institutions Conferences

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Achievable sum rate analysis of ZF receivers in 3D MIMO with Rayleigh/log-normal fading channels

Achievable sum rate analysis of ZF receivers in 3D MIMO with...

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IEEE Globecom Workshops

作者： Fangqing Tan Hui Gao Tiejun Lv Jie Zeng Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9781479974719

Three dimensions multiple-input multiple-output (3D MIMO) system is now gaining a growing interest among researchers in wireless communication, the reason can be attributed to its potential to enable a variety of strategies like user specific 3D beamforming and cell-splitting. In this paper, we pursue the performance evaluation of 3D MIMO system employing zero-forcing (ZF) receivers, accounting for both large and small-scale fading. In particular, we consider the classical log-normal model and antenna gain with tilting angle, we derive the optimal tilting angle for 3D MIMO system which maximizes the sum rate, furthermore, based on the optimal tilting angle, we propose a closed-form linear approximation on the achievable sum rate in the asymptotically high signal-to-noise ratio (SNR) and low-SNR regime, respectively. We investigate the effect of antenna tilting angle, number of base station (BS) antennas and the distance between BS and the center of building on the achievable sum rate performance of 3D MIMO.

关键词： MIMO Three-dimensional displays Fading Antennas Receivers Signal to noise ratio Linear approximation

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A method based on MD5 and time for preventing deception in electronic commerce

A method based on MD5 and time for preventing deception in e...

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International Conference on Cyberspace Technology (CCT 2014)

作者： Zhenggang Hu Yueming Lu School of Information and Communication Engineering Beijing University of Posts and Telecommunications China Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education Beijing China

ISBN: (纸本)9781510802704

Aiming at reducing the risk of data being intercepted and preventing deceptions in the electronic commerce, this paper proposes a method based on MD5 and time which can effectively prevent the deception in data transmission. The method uses the traditional MD5 algorithm to encrypt and validate important data, then verifying the validity and legitimacy of the data by using time.

关键词： electronic commerce md5 algorithm preventing deception time electronic commerce MD5 MD5 algorithm Deception data transmission Legitimacy

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Detecting the run time attacks in the cloud with an evidence collection based approach

Detecting the run time attacks in the cloud with an evidence...

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IEEE International Conference on Cloud computing and Intelligence Systems (CCIS)

作者： Jie Lin Chuanyi Liu Zhichun Ning Binxing Fang School of Computer Science Beijing University of Posts and Telecommunications Beijing China Ministry of Education Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Beijing China

ISBN: (纸本)9781467369541

As the impacts of security threats are amplified and spread quickly in the cloud, especially with the attribute of large-scale virtualization. Most of researches focus on monitoring the network traffic. However, these methods don't check how the attack happened and what damage the attack caused for the virtual infrastructure. This paper presents a logging method to analyze the potential attacks out of VM and a prototype was implemented. The experimental results show that this method can detect the real world attacks effectively and the performance overhead is acceptable.

关键词： Monitoring Software Servers Virtualization Virtual machining Binary codes Computer architecture

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Low-Complexity User Scheduling in the Downlink Massive MU-MIMO System with Linear Precoding

Low-Complexity User Scheduling in the Downlink Massive MU-MI...

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IEEE/CIC International Conference on Communications in China

作者： Ou Bai Hui Gao Tiejun Lv Chau Yuen Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Information and Communication Engineering Beijing University of Posts and Telecommunications Singapore University of Technology and Design

ISBN: (纸本)9781479941452

In this paper, we investigate low-complexity user scheduling schemes for the downlink (DL) massive multiuser multiple-input multiple-output (MU-MIMO) system, where an M-antenna (M is very large) base station (BS) serves K (K > 2) N-antenna (N > 1) users with linear transceivers. Establishing the theoretical foundation of our scheduling schemes, we first investigate the asymptotic sum-rates of this system with both singular value decomposition (SVD) and regularized zero-forcing (RZF) precoders. In particular, we assume that both M and N go to infinity with a bounded ratio to perform the theoretical derivations with random matrix theory (RMT). In addition, the influence of imperfect channel estimation is also considered. Interestingly, the analysis indicates the existence of an optimal number of served users K~* in terms of asymptotic sum-rate, which motivates our low complexity user scheduling schemes. Unlike the conventional schemes with complicated computations and instantaneous channel state information, our user scheduling schemes are based on semi-analytical solutions with only statistic CSI. Simulation results validate our theoretical derivations and show the advantages of our schemes in the massive MU-MIMO system.

关键词： MIMO communication computational complexity precoding singular value decomposition telecommunication scheduling MU-MIMO system SVD decoder asymptotic sum-rate channel estimation channel state information downlink massive MU-MIMO system downlink massive multiuser multiple-input multiple-output system linear precoding linear transceivers low-complexity user scheduling scheme random matrix theory semianalytical solutions Antennas MIMO Processor scheduling Resource management Signal processing Vectors Wireless communication

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Multi-features based classification for automatic summarization

Multi-features based classification for automatic summarizat...

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International Conference on Multimedia, Communication and computing Application（MCCA 2014）

作者： H.Y.Li R.F.Liu W.R.Xu R.S.Shi School of Information and Communication Engineering Beijing University of Posts and Telecommunication Education Ministry Key Laboratory of Trustworthy Distributed Computing and Service BUPT School of HumanitiesBUPT

That the summary of an article can be automatically generated is an important text processing *** technique can automatically extract the most useful information of the text and present that information,which makes it easy to navigate and judge the importance to *** paper is based on a variety of texts and structure *** vector-machine classification method is used to identify summary sentences,which abandoned the traditional experience weight setting to *** effective system that combines keywords density and document structure with the best weights is implemented for automatic *** experimental results show that our Density and Structure Based Summary system improves the automatic summarization ***'s better than the other two systems and has a big promotion on the precision,recall and F score.

关键词： Multi-features based classification for automatic summarization

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Bit allocation for quality scalability coding of H.264/SVC

Bit allocation for quality scalability coding of H.264/SVC

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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Wang Bo Li Teng Songlin Sun Xiaojun Jing Hai Huang School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education Beijing China

An efficient model-based bit allocation algorithm, in this paper, is proposed for quality scalability coding of H.264/scalable video coding (SVC). The conventional Rate-Distortion models are not available for quality scalability coding of H.264/SVC. To overcome this issue, the relationship between the percentage of header bits and quantization parameter is investigated to obtain an accurate single layer rate model. Moreover, MGS/CGS inter-layer MAD affine relationship is employed to extend the Rate-Distortion models from the base layer (BL) to the enhancement layer (EL). Finally the Lagrange solution of the bit allocation problem is worked out. Experimental results show that the proposed bit allocation algorithm outperforms Joint Scalable Video Model (JSVM) software algorithm.

关键词： Bit rate Encoding Quantization (signal) Static VAr compensators Scalability Software algorithms Signal to noise ratio

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