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arXiv 2019年

作者： Liu, Xuanlin Chen, Mingzhe Yin, Changchuan Saad, Walid Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Wireless@VT Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA United States

—In this paper, the echo state network (ESN) memory capacity, which represents the amount of input data an ESN can store, is analyzed for a new type of deep ESNs. In particular, two deep ESN architectures are studied. First, a parallel deep ESN is proposed in which multiple reservoirs are connected in parallel allowing them to average outputs of multiple ESNs, thus decreasing the prediction error. Then, a series architecture ESN is proposed in which ESN reservoirs are placed in cascade that the output of each ESN is the input of the next ESN in the series. This series ESN architecture can capture more features between the input sequence and the output sequence thus improving the overall prediction accuracy. Fundamental analysis shows that the memory capacity of parallel ESNs is equivalent to that of a traditional shallow ESN, while the memory capacity of series ESNs is smaller than that of a traditional shallow ESN. In terms of normalized root mean square error, simulation results show that the parallel deep ESN achieves 38.5% reduction compared to the traditional shallow ESN while the series deep ESN achieves 16.8% reduction. Copyright © 2019, The Authors. All rights reserved.

关键词： Network architecture

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A survey on edge computing systems and tools

arXiv

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arXiv 2019年

作者： Liu, Fang Tang, Guoming Li, Youhuizi Cai, Zhiping Zhang, Xingzhou Zhou, Tongqing School of Data and Computer Science Sun Yat-sen University GuangzhouGuangdong China Key Laboratory of Science and Technology on Information System Engineering National University of Defense Technology ChangshaHunan China School of Compute Science and Technology Hangzhou Dianzi University China College of Computer National University of Defense Technology ChangshaHunan China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China

—Driven by the visions of Internet of Things and 5G communications, the edge computing systems integrate computing, storage and network resources at the edge of the network to provide computing infrastructure, enabling developers to quickly develop and deploy edge applications. Nowadays the edge computing systems have received widespread attention in both industry and academia. To explore new research opportunities and assist users in selecting suitable edge computing systems for specific applications, this survey paper provides a comprehensive overview of the existing edge computing systems and introduces representative projects. A comparison of open source tools is presented according to their applicability. Finally, we highlight energy efficiency and deep learning optimization of edge computing systems. Open issues for analyzing and designing an edge computing system are also studied in this survey. Copyright © 2019, The Authors. All rights reserved.

关键词： Energy efficiency

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Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach

arXiv

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arXiv 2019年

作者： Chen, Mingzhe Saad, Walid Yin, Changchuan Debbah, Mérouane Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China Wireless@VT Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA United States Mathematical and Algorithmic Sciences Lab Huawei France R and D Paris

Providing seamless connectivity for wireless virtual reality (VR) users has emerged as a key challenge for future cloud-enabled cellular networks. In this paper, the problem of wireless VR resource management is investigated for a wireless VR network in which VR contents are sent by a cloud to cellular small base stations (SBSs). The SBSs will collect tracking data from the VR users, over the uplink, in order to generate the VR content and transmit it to the end-users using downlink cellular links. For this model, the data requested or transmitted by the users can exhibit correlation, since the VR users may engage in the same immersive virtual environment with different locations and orientations. As such, the proposed resource management framework can factor in such spatial data correlation, so as to better manage uplink and downlink traffic. This potential spatial data correlation can be factored into the resource allocation problem to reduce the traffic load in both uplink and downlink. In the downlink, the cloud can transmit 360 contents or specific visible contents (e.g., user field of view) that are extracted from the original 360 contents to the users according to the users' data correlation so as to reduce the backhaul traffic load. In the uplink, each SBS can associate with the users that have similar tracking information so as to reduce the tracking data size. This data correlation-Aware resource management problem is formulated as an optimization problem whose goal is to maximize the users' successful transmission probability, defined as the probability that the content transmission delay of each user satisfies an instantaneous VR delay target. To solve this problem, a machine learning algorithm that uses echo state networks (ESNs) with transfer learning is introduced. By smartly transferring information on the SBS's utility, the proposed transfer-based ESN algorithm can quickly cope with changes in the wireless networking environment due to users' conten

关键词： Virtual reality

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Federated Deep Learning for Immersive Virtual Reality over Wireless Networks

Federated Deep Learning for Immersive Virtual Reality over W...

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IEEE Global Communications Conference

作者： Mingzhe Chen Omid Semiari Walid Saad Xuanlin Liu Changchuan Yin Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Department of Electrical Engineering Princeton University Princeton NJ USA The Future Network of Intelligence Institute The Chinese University of Hong Kong Shenzhen China Department of Electrical and Computer Engineering University of Colorado Colorado Springs CO USA Bradley Department of Electrical and Computer Engineering Wireless@VT Virginia Tech Blacksburg VA USA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

In this paper, the problem of enhancing the virtual reality (VR) experience for wireless users is investigated by minimizing the occurrence of breaks in presence (BIPs) that can detach the users from their virtual world. To measure the BIPs for wireless VR users, a novel model that jointly considers the VR applications, transmission delay, VR video quality, and users' awareness of the virtual environment is proposed. In the developed model, the base stations (BSs) transmit VR videos to the wireless VR users using directional transmission links so as to increase the data rate of VR users, thus, reducing the number of BIPs for each user. Therefore, the mobility and orientation of VR users must be considered when minimizing BIPs, since the body movements of a VR user may result in blockage of its wireless link. The BIP problem is formulated as an optimization problem which jointly considers the predictions of users' mobility patterns, orientations, and their BS association. To predict the orientation and mobility patterns of VR users, a distributed learning algorithm based on the machine learning framework of deep echo state networks (ESNs) is proposed. The proposed algorithm uses concept from federated learning to enable multiple BSs to locally train their deep ESNs using their collected data and cooperatively build a learning model to predict the entire users' mobility patterns and orientations. Using these predictions, the user association policy that minimizes BIPs is derived. Simulation results demonstrate that the developed algorithm reduces the users' BIPs by up to 16% and 26%, respectively, compared to centralized ESN and deep learning algorithms.

关键词： Wireless communication Wireless sensor networks Delays Uplink Downlink Prediction algorithms Machine learning

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Optimization of rate allocation and power control for rate splitting multiple access (RSMA)

arXiv

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arXiv 2019年

作者： Yang, Zhaohui Chen, Mingzhe Saad, Walid Shikh-Bahaei, Mohammad Centre for Telecommunications Research Department of Informatics Kings College London WC2B 4BG United Kingdom Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China Wireless@VT Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA United States

In this paper, the sum-rate maximization problem is studied for wireless networks that use downlink rate splitting multiple access (RSMA). In the considered model, each base station (BS) divides the messages that must be transmitted to its users into a "private" part and a "common" part. Here, the common message is a message that all users want to receive and the private message is a message that is dedicated to only a specific user. The RSMA mechanism enables a BS to adjust the split of common and private messages so as to control the interference by decoding and treating interference as noise and, thus optimizing the data rate of users. To maximize the users' sum-rate, the network can determine the rate allocation for the common message to meet the rate demand, and adjust the transmit power for the private message to reduce the interference. This problem is formulated as an optimization problem whose goal is to maximize the sum-rate of all users. To solve this nonconvex maximization problem, the optimal power used for transmitting the private message to the users is first obtained in closed form for a given rate allocation and common message power. Based on the optimal private message transmission power, the optimal rate allocation is then derived under a fixed common message transmission power. Subsequently, a one-dimensional search algorithm is proposed to obtain the optimal solution of common message transmission power. Simulation results show that the RSMA can achieve up to 15.6% and 21.5% gains in terms of data rate compared to non-orthogonal multiple access (NOMA) and orthogonal frequency-division multiple access (OFDMA), respectively. Copyright © 2019, The Authors. All rights reserved.

关键词： Power control

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A Sparse Superposition Multiple Access Scheme and Performance Analysis for 5G Wireless Communication systems

A Sparse Superposition Multiple Access Scheme and Performanc...

引用

IEEE International Conference on Communications in China Workshops (ICCC)

作者： Kai Zhang Jin Xu Changchuan Yin Weiqiang Tan Chunguo Li Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China School of Computer Science Guangzhou University Guangzhou China National Communications Research Laboratory Southeast University Nanjing China

ISBN: (纸本)9781538670125;9781538670118

Orthogonal multiple access (OMA) is widely employed in traditional cellular wireless communication systems due to a low-complexity receiver is needed. However, multiple access scheme with higher spectral efficiency and the capability of access more users than OMA scheme is preferred for the future wireless communication systems. In this work, we propose a non-orthogonal multiple access scheme called sparse superposition multiple access (SSMA) by superposing more users to a limited number of time-frequency resource for the uplink transmission in the fifth generation (5G) wireless communication systems. Moreover, we design two sparse superposition matrices (SSMs) for 150% and 200% overloaded SSMA scheme. Then, a low complexity belief propagation detection and decoding algorithm based multiple user detection is proposed. Furthermore, we utilize extrinsic information transfer chart to analyze the superiority of the proposed SSMs theoretically and the numerical results show that the proposed SSM with an overload of 150% has a gain of about 1 dB compared to the existing scheme. Finally, simulation results demonstrate that the proposed scheme outperforms the traditional OMA scheme and the existing scheme significantly.

关键词： Multiuser detection Wireless communication Conferences Convergence Maximum likelihood decoding Message passing Receivers

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On-Chip Generating FPGA Test Configuration Bitstreams to Reduce Manufacturing Test Time

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Chinese Journal of Electronics 2016年第1期25卷 64-70页

作者： WANG Fei WANG Da YANG Haigang XIE Xianghui FAN Dongrui System on Programmable Chip Research Department IE CAS State Key Laboratory of Computer Architecture ICT CAS

Statistics shows that over 95% of FPGA manufacturing test time is spent on loading test configuration bitstreams. Reducing the test time that spent on loading test configuration bitstreams could significantly reduce FPGA test time. A new approach which can significantly reduce the FPGA test time is presented. Experimental results show that the proposed technique can at least reduce the configuration loading time by 96%, while getting 100%test coverage with less than 1.2% hardware overhead.

关键词： FPGA test Test configuration bitstream Design-for-testability

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Research on I/Q unbalanced channel reciprocity calibration algorithm in massive MIMO system 3

Research on I/Q unbalanced channel reciprocity calibration a...

引用

3rd International Conference on Mechanical, Electronic and Information Technology Engineering, ICMITE 2017

作者： Cui, Jinming Yin, Liang Ma, Yue Li, Shufang Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China School of Computer Science Beijing University of Posts and Telecommunications Beijing100876 China

Massive MIMO system uses the transmitter channel state information (CSI) to preprocess the transmitted data, which can effectively reduce the interference and enhance the Massive MIMO system capacity. In the actual transmission process, reciprocity is subject to many factors, resulting in application difficulties. In this paper, we mainly study the influence of RF device's noncardiosis on channel reciprocity of Massive MIMO system. Combined with channel estimation based on pilot signal and FRRH subspace tracking algorithm, this paper proposes a channel reciprocity calibration method for Massive MIMO. Finally, the compensation effect of the compensation algorithm is verified by simulation. © The Authors, published by EDP Sciences, 2017.

关键词： MIMO systems

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Find Your Online Social Friends from Mobile Internet Traffic

Find Your Online Social Friends from Mobile Internet Traffic

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IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)

作者： Yi Zhang Yuanyuan Qiao Yanting Zhang Nanfei Shu Yizhe Song Jie Yang Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Technology Research Institute Aisino Corporation Beijing China School of Electronic Engineering and Computer Science Queen Mary University of London London England

Increasingly more mobile Internet traffic is produced which contains ample personal information related to user mobility and website browsing behavior. Prior research has attempted to recommend friends based on Global Position system (GPS) in location based social networks (LBSN). However, the study of friend recommendation in general social network according to position from the base station is relatively understudied. This paper introduces a novel feature set extracted from mobile Internet traffic according to base station location and Uniform Resource Locator (URL). We train classification models using these features to predict friendship between pairs of Weibo users. Results show that both base station location and URL when acted alone can already effectively reflect friendships even in general social network. We further show that by fusing the two features together, the model obtains even better performance. Finally, we demonstrate that the location and URL features can improve prediction performance than only using the common friends.

关键词： Uniform resource locators Feature extraction Social network services Base stations Internet Global Positioning system Predictive models

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Tool Support for Restricted Use Case Specification: Findings from a Controlled Experiment

Tool Support for Restricted Use Case Specification: Findings...

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Asia-Pacific Conference on Software Engineering

作者： Markus Weninger Paul Grünbacher Huihui Zhang Tao Yue Shaukat Ali Christian Doppler Laboratory MEVSS Institute for System Software Johannes Kepler University Linz Austria Christian Doppler Laboratory MEVSS Institute for Software Systems Engineering Johannes Kepler University Linz Austria School of Computer Engineering Weifang University China Simula Research Laboratory Norway Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan

ISBN: (纸本)9781728119717;9781728119700

Evidence has shown that the use of restricted natural languages can reduce ambiguities in textual use case specifications (UCSs). Restricted natural languages often come with specific editors that support particular use case templates and provide enforcement of the language's restrictions. However, whether restriction enforcement facilitates the definition of UCSs as compared to an editor without such support is a fundamental question to answer. To this end, we report results of a controlled experiment in which we compared two approaches for defining restricted UCSs: (i) a specific Restricted Use Case Modeling (RUCM) tool that supports restriction enforcement; and (ii) a general Office Word UCS template without such enforcement. We compared both approaches from multiple perspectives including restriction misuse, understandability, and restrictiveness. Results show that the restriction misuse rates are generally low, which indicates the usefulness of the RUCM, independent of the use of the editors. The results also indicate that the RUCM tool eases the application of more complex restrictions. We also found that the participants profited from extensive training prior to the experiment. The experiment participants further showed their strong willingness to recommend the RUCM tool to others and to use it in the future, which was not the case for the Office Word template.

关键词： Tools Unified modeling language Task analysis Analytical models Software engineering Training Natural languages

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