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arXiv 2019年

作者： Chen, Mingzhe Yang, Zhaohui Saad, Walid Yin, Changchuan Vincent Poor, H. Cui, Shuguang Chinese University of Hong Kong Shenzhen518172 China Department of Electrical Engineering Princeton University PrincetonNJ08544 United States Centre for Telecommunications Research Department of Informatics King's College London WC2B 4BG United Kingdom Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24060 United States Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical Engineering Princeton University PrincetonNJ08544 United States Shenzhen Research Institute of Big Data School of Science and Engineering Chinese University of Hong Kong Shenzhen518172 China

In this paper, the problem of training federated learning (FL) algorithms over a realistic wireless network is studied. In particular, in the considered model, wireless users execute an FL algorithm while training their local FL models using their own data and transmitting the trained local FL models to a base station (BS) that will generate a global FL model and send it back to the users. Since all training parameters are transmitted over wireless links, the quality of the training will be affected by wireless factors such as packet errors and the availability of wireless resources. Meanwhile, due to the limited wireless bandwidth, the BS must select an appropriate subset of users to execute the FL algorithm so as to build a global FL model accurately. This joint learning, wireless resource allocation, and user selection problem is formulated as an optimization problem whose goal is to minimize an FL loss function that captures the performance of the FL algorithm. To address this problem, a closed-form expression for the expected convergence rate of the FL algorithm is first derived to quantify the impact of wireless factors on FL. Then, based on the expected convergence rate of the FL algorithm, the optimal transmit power for each user is derived, under a given user selection and uplink resource block (RB) allocation scheme. Finally, the user selection and uplink RB allocation is optimized so as to minimize the FL loss function. Simulation results show that the proposed joint federated learning and communication framework can reduce the FL loss function value by up to 10% and 16%, respectively, compared to: 1) An optimal user selection algorithm with random resource allocation and 2) a standard FL algorithm with random user selection and resource allocation. Copyright © 2019, The Authors. All rights reserved.

关键词： Learning algorithms

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Energy efficient channel sharing and power optimization for device-to-device networks

Lecture Notes of the Institute for Computer Sciences, Social...

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Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST 2017年 174卷 63-75页

作者： Xi, Zeguo Wen, Xiangming Lu, Zhaoming Zeng, Yan Hu, Zhiqun Lei, Tao Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China Beijing Laboratory of Advanced Information Networks Beijing100876 China

In device-to-device (D2D) networks, the system performance can be significantly improved with a well resource allocation scheme. In this paper, the issue of channel sharing and power allocation for deviceto-device (D2D) communications underlaying cellular networks is considered. The users with the same service content are categorized into clusters, with clusters sharing the frequency of the uplink users. With this non-orthogonal frequency sharing, the energy efficiency of different type of users, i.e., the uplink users or the D2D users, is analysed. The energy-efficient resource sharing problem is further formulated into a non-transferable coalition formation game, and several related factors of the game is described. A distributed coalition formation game algorithm based on the merge and split rule is proposed. With numerical results, the effectiveness of the game model and the algorithm is demonstrated. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.

关键词： Energy efficiency

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Analysis and Prediction of Content Popularity for Online Video Service:A Youku Case Study

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China Communications 2016年第12期13卷 216-233页

作者： Chenyu Li Jun Liu Shuxin Ouyang Beijing Key Laboratory of Network System Architecture and Convergence Center for Data ScienceSchool of Information and Communication EngineeringBeijing University of Posts and Telecommunications

Understanding the characteristics and predicting the popularity of the newly published online videos can provide direct implications in various contexts such as service design, advertisement planning, network management and etc. In this paper, we collect a real-world large-scale dataset from a leading online video service provider in China, namely Youku. We first analyze the dynamics of content publication and content popularity for the online video service. Then, we propose a rich set of features and exploit various effective classification methods to estimate the future popularity level of an individual video in various scenarios. We show that the future popularity level of a video can be predicted even before the video's release, and by introducing the historical popularity information the prediction performance can be improved dramatically. In addition, we investigate the importance of each feature group and each feature in the popularity prediction, and further reveal the factors that may impact the video popularity. We also discuss how the early monitoring period influences the popularity level prediction. Our work provides an insight into the popularity of the newly published online videos, and demonstrates promising practical applications for content publishers,service providers, online advisers and network operators.

关键词： online content popularity online video service popularity characterization popularity prediction

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Impedance measurement of RFID tag antenna based on different methods

Impedance measurement of RFID tag antenna based on different...

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IEEE International Symposium on Electromagnetic Compatibility (EMC-beijing)

作者： Chenwei Cai Weijun Hong Li Deng Shufang Li Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing People's Republic of China

RFID tag antennas use balanced feeding structure, which causes great challenge on antenna impedance measurement. Methods for balanced antenna impedance measurement can be divided into three categories: Balun method, imaging theory and S-parameter method. Three types methods are analyzed and compared in this paper. Simulations and experiments are implemented to support the comparison. Through the comparisons, great agreements in impedance value and variation tendency are observed between the simulation and experiment. Moreover, strengths and weaknesses of the three methods also are analyzed in this paper.

关键词： Antenna measurements Impedance Scattering parameters Dipole antennas Impedance measurement Imaging

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A SOFTWARE DEFINED SECURITY architecture FOR SDN-BASED 5G network 5

A SOFTWARE DEFINED SECURITY ARCHITECTURE FOR SDN-BASED 5G NE...

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2016 5th IEEE International Conference on network Infrastructure and Digital Content(IC-NIDC 2016)

作者： Xiaodong Liang Xiaofeng Qiu Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications

ISBN: (纸本)9781509012473

Software Defined networking(SDN) is considered to meet the future needs of the 5G mobile ***,there have been only a few works so far that address the security issues in SDMN(Software Defined Mobile networks),and all the proposed approaches have their ***,in this context,a new security paradigm based on SDN introduces many opportunities and provides the potential to solve the security problem in the mobile core *** this paper,we present the SDS-SC,a software defined security architecture for SDN based 5G *** centralized security controller that communicates with SDN network controller,flexible and network-aware security services could be provided for mobile users *** also highlight how security applications could be developed easily in our architecture through application interface on top of the security controller.

关键词： 5G SDN Security architecture

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network ANOMALY DETECTION BASED ON FREQUENT SUB-GRAPH MINING APPROACH AND ASSOCIATION ANALYSIS 5

NETWORK ANOMALY DETECTION BASED ON FREQUENT SUB-GRAPH MINING...

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2016 5th IEEE International Conference on network Infrastructure and Digital Content(IC-NIDC 2016)

作者： Fangyuan Cheng Xiaofeng Qiu Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications

ISBN: (纸本)9781509012473

In this paper,an anomaly detection method based on frequent sub-graph mining and association analysis is introduced to ensure the security of the *** this method,the network behavior data in SDN are represented as a graph,abnormal sub-graphs of which are readily *** patterns of the detected abnormal behaviors are able to be ***,an ensemble method based on Bagging algorithm is proposed to improve the detection *** with global flow table data based on SDN indicated that this approach was capable of detecting anomalies in ***,to illustrate the effectiveness of this method in other aspects,comparisons with KDD99 data set were *** the results verified its excellent ability in reducing false alarms and the effect of the ensemble method on improving the detection accuracy.

关键词： Security for SDN Anomaly detection Frequent sub-graph mining Bagging ensemble method

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Signal Recognition Based on Signal Power Spectrum Fitting Feature Extraction

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beijing Youdian Daxue Xuebao/Journal of beijing University of Posts and Telecommunications 2018年第2期41卷 114-118页

作者： Tian, Hao-Min Yin, Liang Ma, Yue Li, Shu-Fang Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China Computer Network Research Center Beijing University of Posts and Telecommunications Beijing100876 China School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing100876 China

Aiming at the problem of communication signal service type identification, the author proposes a polynomial fitting factor that extracts the power spectrum of the signal using the linear regression algorithm and the polynomial fitting model in machine learning field as a unified feature of the signal to construct the training set. A multi-layer fully connected neural network classifier model was built on depth learning platform. Compared with the traditional ones, this method has advantages of unifying the radio signal without the need of individual service to extract the personalized features. The power spectrum data of code division multiple access(CDMA) uplink, CDMA downlink, extended global system for mobile(EGSM) uplink, EGSM downlink, wireless local area networks (WLAN) and long time evolution (LTE) signals in the actual radio monitoring data are selected as data set, and 97% classification accuracy is verified. that this method is proven feasible. © 2018, Editorial Department of Journal of beijing University of Posts and Telecommunications. All right reserved.

关键词： Extraction

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Probabilistic Top-k Query:Model and Application on Web Traffic Analysis

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China Communications 2016年第6期13卷 123-137页

作者： Xiaolin Gui Jun Liu Qiujian Lv Chao Dong Zhenming Lei Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and TelecommunicationsBeijing100876China Agricultural Bank of China Beijing 100161 China

Top-k ranking of websites according to traffic volume is important for Internet Service Providers(ISPs) to understand network status and optimize network resources. However, the ranking result always has a big deviation with actual rank for the existence of unknown web traffic, which cannot be identified accurately under current techniques. In this paper, we introduce a novel method to approximate the actual rank. This method associates unknown web traffic with websites according to statistical probabilities. Then, we construct a probabilistic top-k query model to rank websites. We conduct several experiments by using real HTTP traffic traces collected from a commercial ISP covering an entire city in northern China. Experimental results show that the proposed techniques can reduce the deviation existing between the ground truth and the ranking results vastly. In addition, we find that the websites providing video service have higher ratio of unknown IP as well as higher ratio of unknown traffic than the websites providing text web page service. Specifically, we find that the top-3 video websites have more than 90% of unknown web traffic. All these findings are helpful for ISPs understanding network status and deploying Content Distributed network(CDN).

关键词： top-k query traffic model temporal bipartite graph uncertain data unknown traffic

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Distribution network topology reconstruction method based on lasso and its supplementary criterions 10th

Distribution network topology reconstruction method based on...

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10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017

作者： Li, Xiaoyu Li, Shufang Li, Wenqi Tian, Shiming Pan, Mingming Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China State Grid Henan Electric Power Company Jinshui District Zhengzhou450052 China China Electric Power Research Institute Haidian District Beijing100192 China

ISBN: (纸本)9783319723945

In order to solve the problem of topology reconstruction in distribution network, a new data driven algorithm is proposed, which uses only the timing voltage to reconstruct the un-loopy and loopy distribution network topology without the prior knowledge. Firstly, the topology reconstruction problem is transformed into a convex optimization problem, and the Lasso regularization method is utilized to obtain a sparse correlation coefficient matrix (CCM), which represents the connectivity of the topology. Secondly, the "And" rule is employed to reduce the redundancy of CCM. And then the criterion of the voltage correlation analysis model is adopted as a supplemental criterion to reduce the error rate of CCM. Finally, the topology reconstruction of the distribution network is realized based on the accurate CCM. Simulation results show that the algorithm has high accuracy, universality and low computational complexity. © Springer International Publishing AG 2017.

关键词： Convex optimization

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Dual-layer efficiency enhancement for future passive optical network

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Science China(Information Sciences) 2016年第2期59卷 172-184页

作者： Yuefeng JI Xiaoxiong WANG Shizong ZHANG Rentao GU Tonglu GUO Zhaozhi GE State Key Lab of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications

Ever-increasing demands on bandwidth compel us to improve the bandwidth utilization of access networks. It is more important to enhance the efficiency of passive optical networks(PON) than other access technologies, as they are the primary solutions to various access scenarios. To satisfy the demands of improved bandwidth efficiency, we propose a dual-layer(data link layer and network layer) efficiency enhancement scheme for future PON system. Under this architecture, a data-link-layer flexible coding scheme is introduced to extend the downstream link throughput, and a network-layer centralized active queue management(AQM) scheme is introduced to increase bandwidth efficiency. Both of these technologies are designed to suit the future centralized cooperative control mode. The results of an experimental demonstration of the network coding PON scheme reveal the efficiency of the proposed architecture. The results of simulations show that the centralized AQM scheme has a positive influence on queuing delay and jitter. To the best of our knowledge, this is the first time that a data link layer mechanism and a network layer policy have been integrated to provide high efficiency and quality of service in access networks.

关键词： passive optical network bandwidth efficiency network coding active queue management centralized control

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