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Large-scale characterization of comprehensive online video service in mobile network

Large-scale characterization of comprehensive online video s...

引用

IEEE International Conference on Communications (ICC)

作者： Chenyu Li Jun Liu Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781479966653

Video service in mobile network generates massive Internet traffic and consumes a large share of bandwidth. Nowadays, more and more video portals have upgraded their service to a comprehensive one-stop solution, providing UGC, VoD and Live streaming at the same time. Understanding the characteristics of such service is crucial for the network traffic engineering and the sustainable development of service. In this paper we present the first characterization work in mobile network on a leading comprehensive online video service in China, Youku. Our study is based on large-scale datasets containing 16 billion network traffic traces and long-term crawling data (over 1 month). We examine the user activity in both temporal and spacial dimensions and reveal the relatively fixed service usage. We demonstrate the strong correlations between users, which is reflected by the small-world phenomenon. We also investigate the static properties of Youku mobile videos and observe noticeably differences from other UGC videos. Eventually, we study the distribution of view count and find out four growth patterns for the new published videos. Our analysis result provides a insight into how Youku is utilized by mobile users and demonstrates promising practical applications for both network operators and service providers.

关键词： Streaming media Mobile communication Mobile computing Switches YouTube Internet Entropy

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Where do you watch? A spatial analysis of online video service in mobile network

Where do you watch? A spatial analysis of online video servi...

引用

International Symposium on Wireless Personal Multimedia Communications (WPMC)

作者： Chenyu Li Jun Liu Shuxin Ouyang Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781509053773

We present a specialized characterization work in the spatial dimension of online video service in mobile network. A better understanding of the spatial characteristics of such service is a key capability for network operators and service providers, but remains an unsolved problem. It is extremely challenging because the complexity to get the location information of the mobile users. In this paper, we address this problem head on by collecting a large-scale dataset containing over 9 billion network traffic traces from a cellular network in a north-eastern city in China. We further extract the video requests from those data. The user location information is cast into the information of cells visited by the users in the cellular network when they watch mobile videos. Based on this dataset, we provide a comprehensive characterization of the online video service in mobile network in the spatial dimension: 1) The overall geographic distribution of video requests is uncovered and hot spot regions are discovered. And the video request location entropy is defined to analyze how request time and video category impact the overall geographic distribution. 2) Then, the user mobility pattern is defined in terms of cell sequence and residence time. The movement of each mobile user while watching videos in mobile network and the overlapping of request locations between different sessions and different days of each user are further studied. 3) At last, the video request spatial distribution of each video is analyzed. The linear relationship between the video request spatial distribution and the video popularity is uncovered. In addition, the categories and user mobility patterns for the widely watched videos are analyzed. To the best of our knowledge, this is the first specialized study to shed light on the online video service in mobile network from the spatial angle. Our analysis provides a unique insight into how Youku is utilized by mobile users. We believe our observation find

关键词： Mobile computing Streaming media YouTube Cellular networks Urban areas Entropy

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Adaptive weighted fuzzy clustering algorithm for load profiling of smart grid customers

Adaptive weighted fuzzy clustering algorithm for load profil...

引用

IEEE International Conference on Communications in China (ICCC)

作者： Yun Lu Tiankui Zhang Zhimin Zeng Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

With the rapid development of the smart grid, a large volume of smart meter data are collected in the form of time series, which is called load profiles. This paper investigates the load profile clustering of smart grid customers, which is significant for many applications. An adaptive weighted fuzzy clustering algorithm is proposed to cluster load profiles, where Principle Component Analysis (PCA) is used to reduce the data dimension, and then weighted Fuzzy C-Means (FCM) is adopted to cluster the big data. The optimal number of clusters is determined adaptively by integrating a clustering validity function into the clustering algorithm. The simulation results show that the proposed algorithm could achieve considerable improvement both in time complexity and clustering accuracy through comparing four clustering validity indexes.

关键词： Clustering algorithms Principal component analysis Partitioning algorithms Algorithm design and analysis Indexes Smart grids Smart meters

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An adaptive polarization-QAM modulation scheme for improving the power amplifier energy efficiency in OFDM systems

An adaptive polarization-QAM modulation scheme for improving...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Shulun Zhao Zhimin Zeng Chunyan Feng Fangfang Liu Yao Nie Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781509032556

To improve the energy efficiency of power amplifier in OFDM systems, an adaptive polarization-QAM modulation scheme is proposed considering the data rate requirement variation at the transmitter. Since QAM and polarization modulation have different energy efficiency performance in the linear and nonlinear region of power amplifier respectively, thus the optimal energy efficiency can be obtained by combining the two modulation schemes together and adjusting their modulation order adaptively to fulfill the varying data rate requirement. The power series model of power amplifier is used to analyze the effects of both the in-band distortions and the out-of-band emissions on OFDM signals. Based on above, the proposed scheme can be formulated as an optimization problem regarding the output back off value as well as the modulation order of polarization modulation and QAM. Simulations under the same symbol error rate threshold and data rate requirement show that, the energy efficiency of the proposed scheme is nearly twice as that of the traditional QAM scheme in OFDM systems.

关键词： OFDM Quadrature amplitude modulation Adaptation models Nonlinear distortion Data models

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Exploiting polarization to resist phase noise for digital self-interference cancellation in full-duplex

Exploiting polarization to resist phase noise for digital se...

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IEEE International Conference on Communications (ICC)

作者： Fangfang Liu Songlin Jia Caili Guo Chunyan Feng Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

Phase noise caused by the unideal local oscillators limits the self-interference cancellation performance severely in full-duplex systems. In this paper, a novel digital polarization self-interference cancellation method is proposed to break the bottleneck of phase noise. The basic idea here is that the polarization is insensitive to the absolute phase and will not be affected by the random phase noise. Without any prior knowledge of the phase noise, the proposed method exploits the polarization signal processing to transform the multiplicative phase noise to a new additive white Gaussian noise, which benefits from the vectorial property of polarization. Based on the polarization system and signal models with the phase noises both in the upconversion and the downconversion, we demonstrate that the self-interference can be cancelled by regeneration where only a transformed additive white Gaussian noise exists. Moreover, the proposed method obtains an upper bound for digital self-interference cancellation when the phase noise exists if the dual-polarized channel estimation is perfect. The simulation is conducted in advanced design system, and results show that the proposed method cancels the self-interference to noise floor.

关键词： Phase noise Baseband Local oscillators Interference Receivers Additive noise

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Implementation of a Chinese Word Segmentation in Big Data Environment

Implementation of a Chinese Word Segmentation in Big Data En...

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International Conference on Intelligent Human-Machine systems and Cybernetics, IHMSC

作者： Shijie Ruan Gang He Dechen Yu Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781509007691

A Chinese word segmentation is implement in big data environment in this paper. We develop a word segmentation system based on Double-Array Trie tree for dictionary and improving N-Gram algorithm for OOV words discovery. This paper also present a improving Omni-segmentation by using the feature of Double-Array Trie tree. Encapsulate this Chinese word segmentation system to an Elasticsearch plugin. Practical results show the system has a better performance compare with the existing system.

关键词： Dictionaries Indexes Big data Algorithm design and analysis Hidden Markov models Context Heuristic algorithms

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WiCloud: Innovative uses of network data on smart campus

WiCloud: Innovative uses of network data on smart campus

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International Conference on Computer Science & Education (ICCSE)

作者： Hongxing Li Guochu Shou Yihong Hu Zhigang Guo Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781509022199

Mobile Edge Computing (MEC) aims to provide mobile and cloud computing capabilities within the radio access network, and emphasizes the openness of the internet which can transfer the real-time radio network information into context-related services. In this article, we research the state-of-the-art technology of mobile and cloud convergence, then propose WiCloud, a MEC platform, which integrates an edge data center into wireless network to provide edge networking, proximate computing and data acquisition for innovative services. Moreover, we do a series experiment to verify the performance of WiCloud, and according to the campus scenes, we developed four kinds of applications to demonstrate the capability of the ecosystem to promote the process of Smart Campus.

关键词： Mobile communication Cloud computing Servers Mobile computing Bandwidth Virtualization Streaming media

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Relationship Analysis of network Virtual Identity Based on Spark

Relationship Analysis of Network Virtual Identity Based on S...

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International Conference on Intelligent Human-Machine systems and Cybernetics, IHMSC

作者： Shaowu Lan Gang He Dechen Yu Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781509007691

With the development of Internet, there are massive network accounts on Internet when people tend to contact with each other by network applications. We define these network accounts as network Virtual Identities (NVIs). According to previous methods, we will propose a method based on Spark to analyze the relationships between NVIs. In order to analyze relationships and handle large-scale data, our approach will implement the parallelized overlapping community detection algorithm COPRA, based on GraphX, a graph-parallel computation framework on spark. Then we develop a strategy to divide the relationships to different strength levels.

关键词： Sparks Data mining Data processing Algorithm design and analysis Detection algorithms Social network services Telecommunications

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A cross-polarization discrimination compensation algorithm based on polarization modulation for the power amplifier energy efficiency improvement

A cross-polarization discrimination compensation algorithm b...

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International Symposium on Wireless Personal Multimedia Communications (WPMC)

作者： Jinjin Yuan Fangfang Liu Caili Guo Chunyan Feng Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781509053773

In the dual-polarized channel, the power amplifier (PA) energy efficiency is decreased by cross-polarization discrimination (XPD) effect which introduces cross power leakage and then reduces the BER performance of polarization modulation (PM). Therefore, an XPD compensation algorithm based on PM for the PA energy efficiency improvement is proposed. Firstly, the effect of energy efficiency caused by XPD is derived. Then the compensation factor is employed to compensate for the state of polarization (SOP) of the received signals based on channel state information (CSI) estimation. Moreover, the effect of the energy efficiency caused by the channel estimation error is analyzed. Finally, theoretical analyses and simulation results show that the XPD compensation algorithm can improve the PA energy efficiency effectively.

关键词： Channel estimation Algorithm design and analysis Wireless communication Nonlinear distortion Channel state information Energy consumption Receivers

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Mobile Edge Computing: Progress and Challenges

Mobile Edge Computing: Progress and Challenges

引用

IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)

作者： Hongxing Li Guochu Shou Yihong Hu Zhigang Guo Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

Mobile Edge Computing (MEC) provides mobile and cloud computing capabilities within the access network, and aims to unite the telco and IT at the mobile network edge. This paper presents an investigation on the progress of MEC, and proposes a platform, named WiCloud, to provide edge networking, proximate computing and data acquisition for innovative services. Furthermore, the open challenges that must be addressed before the commercial deployment of MEC are discussed.

关键词： Mobile communication Cloud computing Mobile computing Servers Wireless communication Smart phones Wireless sensor networks

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