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International Conference on Wireless communications and Signal Processing (WCSP)

作者： Xian-Tao Fu Rong-Rong Lu Sheng-Hong Lin Jin-Yuan Wang Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Key Laboratory of Opto-technology and Intelligent Control Ministry of Education Lanzhou Jiaotong University Lanzhou China National Local Joint Engineering Research Center for Communication and Network Technologies Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9781728172361

ISBN: (纸本)9781728172378

For indoor visible light communications (VLC), the receivers are usually set to be fixed ones in previous studies. However, the locations and orientations of receivers are affected by random factors in practical VLC systems. In this paper, the performance of VLC with random receivers is investigated. We consider an VLC system, which consists of a transmitter and a receiver. The main noise is additive white Gaussian noise. Two random factors (i.e., random location and random orientation) of the receiver are considered. Based on the established system model, closed-form expressions of the average channel capacity for systems with random location and random orientation are derived, respectively. Numerical results verify the accuracy of the derived theoretical expressions. Moreover, the impacts of the nominal optical intensity, the dimming target, the transmitter height and the Lambertian emission order on system performance are also discussed.

关键词： Visible light communication Optical transmitters Optical receivers Light emitting diodes Channel capacity High-speed optical techniques Wireless communication

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Multiple residual dense networks for reconfigurable intelligent surfaces cascaded channel estimation

arXiv

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arXiv 2021年

作者： Jin, Yu Zhang, Jiayi Huang, Chongwen Yang, Liang Xiao, Huahua Ai, Bo Wang, Zhiqin The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing100044 China Zhejiang Provincial Key Lab of Information Processing Communication and Networking Zhejiang University Hangzhou310007 China College of Computer Science and Electronic Engineering Hunan University Changsha410082 China ZTE Corporation State Key Laboratory of Mobile Network Mobile Multimedia Technology Shenzhen518057 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518055 China China Academy of Information and Communications Technology Beijing100191 China

Reconfigurable intelligent surface (RIS) constitutes an essential and promising paradigm that relies programmable wireless environment and provides capability for space-intensive communications, due to the use of low-cost massive reflecting elements over the entire surfaces of man-made structures. However, accurate channel estimation is a fundamental technical prerequisite to achieve the huge performance gains from RIS. By leveraging the low rank structure of RIS channels, three practical residual neural networks, named convolutional blind denoising network, convolutional denoising generative adversarial networks and multiple residual dense network, are proposed to obtain accurate channel state information, which can reflect the impact of different methods on the estimation performance. Simulation results reveal the evolution direction of these three methods and reveal their superior performance compared with existing benchmark schemes. Copyright © 2021, The Authors. All rights reserved.

关键词： Channel estimation

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Collaboration filtering recommendation optimization with user implicit feedback

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Journal of Computational Information systems 2014年第14期10卷 5855-5862页

作者： Cui, Haomin Zhu, Ming Joint Laboratory of Network Communication System & Control Key Lab of Anhui Department of Automation University of Science and Technology of China Hefei China

Collaboration Filter is one of well-known effective methods for recommendation. The suggestions are based on the mass of user ratings for various items, which are used as explicit feedback. However, implicit feedback such as the time spent on website, how soon the user skipped the song, and the sequence of selected items have also proved to be useful in recommender systems. In this paper, we proposed a hybrid recommendation algorithm considering both explicit and implicit feedback to produce better recommended list. An iteration process is proposed for using implicit feedback in order to find effective feedback for recommendation. Time window is also used to limit the impact range of implicit feedback. Experimental results on MovieLens datasets show that the implicit feedback can effectively compensate for the shortcomings of explicit feedback and the proposed algorithm is more accurate than the traditional one. © 2014 by Binary Information Press

关键词： Recommender systems

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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AN improved Ant Colony Optimization Algorithm for QoS-Aware Dynamic Web Service Composition

AN improved Ant Colony Optimization Algorithm for QoS-Aware ...

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International Conference on Industrial control and Electronics Engineering (ICICEE)

作者： Zhao Shanshan Ma Lin Wang Lei Wen Zepeng Department of Automation USTC Key laboratory of network communication system and control Anhui Department of Electronic Engineering & Information Science USTC Key laboratory of network communication system and control Anhui

ISBN: (纸本)9780769547923

A lot of work have been carried out to find the efficient algorithms for QoS-aware dynamic web service composition. The multi-objective multi-choice problem as an evolutive multi-dimension multi-objective 0-1 knapsack problem (MMKP) can be reduced into the web service composition with multiple QoS constraints, while many approaches based on ant colony optimization (AOC) have been introduced in order for solving MMKP. This paper presents a novel QoS-aware dynamic web service composition optimization algorithm with improved AOC. The essence of the algorithm is that the problem of dynamic web service selection with QoS global optimality is transformed into a multi-objective multi-choice QoS-aware web services composition optimization (an evolutive MMKP), for the final purpose of our algorithm is to achieve Pareto Optimality.

关键词： Multi-objective multi-choice problem AOC QoS service composition

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Admission control with Elastic QoS for Video on Demand systems

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International Journal of Automation and computing 2012年第5期9卷 467-473页

作者： Fu-Shou Lin 1 Bao-Qun Yin 1,2 Jing Huang 1 Xu-Min Wu 1 1 key lab of anhui network communication system and control, University of Science and Technology of China, Hefei 230027, China 2 National network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Science, Beijing 100190, China 1. Key Lab of Anhui Network Communication System and Control University of Science and Technology of China Hefei 230027 China 2. National Network New Media Engineering Research Center Institute of Acoustics Chinese Academy of Science Beijing 100190 China

In network service systems, satisfying quality of service (QoS) is one of the main objectives. Admission control and resource allocation strategy can be used to guarantee the QoS requirement. Based on partially observable Markov decision processes (POMDPs), this paper proposes a novel admission control model for video on demand (VOD) service systems with elastic QoS. Elastic QoS is also considered in resource allocation strategy. Policy gradient algorithm is often available to find the solution of POMDP problems, with a satisfactory convergence rate. Through numerical examples, it can be shown that the proposed admission control strategy has better performance than complete admission control strategy.

关键词： Partially observable Markov decision processes (POMDPs) admission control resource allocation elastic quality of service (QoS) policy gradient

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A web service hierarchy algorithm based on QOS similarity

A web service hierarchy algorithm based on QOS similarity

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International Conference on Industrial control and Electronics Engineering (ICICEE)

作者： Wen Zepeng Ma Lin Wang Lei Zhao Shanshan Department of automation USTC Key laboratory of network communication system and control Anhui Department of Electronic Engineering & Information Science USTC Key laboratory of network communication system and control Anhui

ISBN: (纸本)9780769547923

With the development of SOA based on web services, there are more and more web services with same interface and similar function. How to find and choose the best web service is an important problem that all SOA enterprises face. QoS is used to describe the quality criteria of a web service. In this paper, a new algorithm of web service hierarchy base on QoS similarity has been proposed, which is concerned with meeting requirements of service consumers and the satisfaction with load requirement.

关键词： SOA Web service QoS Hierarchy algorithm

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A dynamic programming algorithm for QoS-aware replica placement in distributed caching systems

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Journal of Convergence Information Technology 2012年第12期7卷 226-234页

作者： Wang, Biyao Wang, Jinlin Liu, Xue The Key Lab of Network Communication System and Control The Chinese Academy of Sciences The Key Lab of Network Communication System and Control Anhui Department of Automation University of Science and Technology China National Network New Media Engineering Research Center Institute of Acoustics Chinese Academy of Sciences China

The rapid growth of new information services, especially like new media services, providing content distribution to clients with good quality of service(QoS) while retaining efficient is a great challenge. This paper investigates the QoS-aware replica placement problem (QRPP) for distributed caching system. We propose a dynamic programming algorithm for the problem in general graph, it first ensures the QoS requirement is satisfied of each request, then places the replica along the request forward path to minimize the total cost. The simulation results show the dynamic programming algorithm can achive a good balance between the access latency and the requested availability. When the request is more concentrated, the dynamic programming algorithm can have better performance than the MODULO and LRU both in access latency and requested availability.

关键词： Dynamic programming

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Neural network based popularity prediction for IPTV system

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Journal of networks 2012年第12期7卷 2051-2056页

作者： Li, Jun Hong, Shuang Xia, Sha Luo, Shengmei Department of Automation Joint Lab. Of Network Communication System and Control University of Science and Technology of China Hefei Anhui 230027 China ZTE Corporation Yuhuatai Nanjing Jiangsu 210012 China

Internet protocol television (IPTV), being an emerging Internet application, plays an important and indispensable role in our daily life. In order to maximize user experience and on the same time to minimize service cost, we must take into pay attention to how to reduce the storage and transport costs. A lot of previous work has been done before to do this. There is a challenging problem in this: how to predict the popularities of videos as accurate as possible. To solve the problem, this paper presents a Neural network model for the popularity prediction of the programs in the IPTV system. And we use the actual historical logs to validate our method. The historical logs are divided to two parts, one is used to train the neural network by extract input/output vectors, and the other part is used to verify the model. The experimental results from our validation show the Neural network based method can gain better accuracy than the comparative method. © 2012 ACADEMY PUBLISHER.

关键词： IPTV

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Towards Load Balance and Maintenance in Structured P2P network for Locality Sensitive Hashing

Towards Load Balance and Maintenance in Structured P2P Netwo...

引用

2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Dawei Liu Ming Zhu The Key Lab of Network Communication System ＆ Control The Chinese Academay of Sciences The Key Lab of Network Communication System ＆ ControlAnhui Department of AutomationUniversity of Science and Technology of China

ISBN: (纸本)9781612848334

In this paper,we consider load balancing and maintenance of distributed similarity search system using locality sensitive hashing（LSH） in DHT-based structured P2P *** has been proven efficient in K-Nearest Neighbor（KNN） search in high ***,a number of schemes have been proposed to implement LSH over DHTbased peer-to-peer system to process distributed similarity *** provide an efficient structure using virtual nodes to manage the multi-dimensional LSH bucket space in DHT peers and maintenance algorithm,which improves load balancing in comparison with the state-of-the-art *** effectiveness of the proposed method is proved by experiments.

关键词： load balance DHT LSH virtual node distributed similarity search

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