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  Subjects -> COMPUTER SCIENCE (Total: 2122 journals)
    - ANIMATION AND SIMULATION (31 journals)
    - ARTIFICIAL INTELLIGENCE (105 journals)
    - AUTOMATION AND ROBOTICS (105 journals)
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    - COMPUTER ENGINEERING (11 journals)
    - COMPUTER GAMES (21 journals)
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    - COMPUTER SCIENCE (1231 journals)
    - COMPUTER SECURITY (50 journals)
    - DATA BASE MANAGEMENT (14 journals)
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    - ELECTRONIC DATA PROCESSING (22 journals)
    - IMAGE AND VIDEO PROCESSING (40 journals)
    - INFORMATION SYSTEMS (107 journals)
    - INTERNET (96 journals)
    - SOCIAL WEB (53 journals)
    - SOFTWARE (34 journals)
    - THEORY OF COMPUTING (9 journals)

COMPUTER SCIENCE (1231 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 24)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 31)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 8)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 17)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 15)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 5)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 9)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 12)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 3)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 16)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 7)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 6)
ACM Transactions on Economics and Computation     Hybrid Journal   (Followers: 2)
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 20)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 8)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 5)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 9)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 8)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 9)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Hybrid Journal   (Followers: 35)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Informatica Malaysia     Open Access  
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 10)
Advanced Engineering Materials     Hybrid Journal   (Followers: 29)
Advanced Science Letters     Full-text available via subscription   (Followers: 11)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 7)
Advances in Artificial Intelligence     Open Access   (Followers: 15)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 6)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 19)
Advances in Computer Engineering     Open Access   (Followers: 4)
Advances in Computer Science : an International Journal     Open Access   (Followers: 14)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 59)
Advances in Engineering Software     Hybrid Journal   (Followers: 28)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 14)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 23)
Advances in Human-Computer Interaction     Open Access   (Followers: 21)
Advances in Materials Science     Open Access   (Followers: 15)
Advances in Operations Research     Open Access   (Followers: 12)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Remote Sensing     Open Access   (Followers: 51)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 6)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 9)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
AI EDAM     Hybrid Journal   (Followers: 1)
Air, Soil & Water Research     Open Access   (Followers: 14)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 7)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 11)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 5)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 6)
American Journal of Sensor Technology     Open Access   (Followers: 4)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 4)
Annals of Data Science     Hybrid Journal   (Followers: 12)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 12)
Annals of Pure and Applied Logic     Open Access   (Followers: 3)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annals of West University of Timisoara - Mathematics and Computer Science     Open Access  
Annual Reviews in Control     Hybrid Journal   (Followers: 8)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applied and Computational Harmonic Analysis     Full-text available via subscription   (Followers: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 12)
Applied Categorical Structures     Hybrid Journal   (Followers: 5)
Applied Clinical Informatics     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 14)
Applied Computer Systems     Open Access   (Followers: 2)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 11)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 17)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 7)
Applied System Innovation     Open Access  
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 6)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 152)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 6)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 8)
Artifact     Open Access   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 7)
Asia Pacific Journal on Computational Engineering     Open Access  
Asia-Pacific Journal of Information Technology and Multimedia     Open Access   (Followers: 1)
Asian Journal of Control     Hybrid Journal  
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
Australian Educational Computing     Open Access   (Followers: 1)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 6)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 12)
Automation in Construction     Hybrid Journal   (Followers: 7)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Balkan Journal of Electrical and Computer Engineering     Open Access  
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 51)
Big Data and Cognitive Computing     Open Access   (Followers: 3)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 323)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 51)
British Journal of Educational Technology     Hybrid Journal   (Followers: 157)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 12)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal   (Followers: 2)
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 15)
Capturing Intelligence     Full-text available via subscription  
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal   (Followers: 2)
Cell Communication and Signaling     Open Access   (Followers: 2)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access   (Followers: 3)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 15)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 8)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Hybrid Journal   (Followers: 11)
Circuits and Systems     Open Access   (Followers: 15)
Clean Air Journal     Full-text available via subscription   (Followers: 1)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Clinical eHealth     Open Access  
Cluster Computing     Hybrid Journal   (Followers: 2)
Cognitive Computation     Hybrid Journal   (Followers: 4)
COMBINATORICA     Hybrid Journal  
Combinatorics, Probability and Computing     Hybrid Journal   (Followers: 4)
Combustion Theory and Modelling     Hybrid Journal   (Followers: 14)
Communication Methods and Measures     Hybrid Journal   (Followers: 13)
Communication Theory     Hybrid Journal   (Followers: 24)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Computational Physics     Full-text available via subscription   (Followers: 2)
Communications in Information Science and Management Engineering     Open Access   (Followers: 4)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 4)
Communications of the ACM     Full-text available via subscription   (Followers: 51)
Communications of the Association for Information Systems     Open Access   (Followers: 16)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access   (Followers: 1)
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 6)
Complexus     Full-text available via subscription  
Composite Materials Series     Full-text available via subscription   (Followers: 8)
Computación y Sistemas     Open Access  
Computation     Open Access   (Followers: 1)
Computational and Applied Mathematics     Hybrid Journal   (Followers: 3)
Computational and Mathematical Biophysics     Open Access   (Followers: 1)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 1)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 12)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access   (Followers: 1)
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 17)
Computational Linguistics     Open Access   (Followers: 24)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 5)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 8)
Computational Particle Mechanics     Hybrid Journal   (Followers: 1)
Computational Research     Open Access   (Followers: 1)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computational Science and Techniques     Open Access  
Computational Statistics     Hybrid Journal   (Followers: 14)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 35)
Computer     Full-text available via subscription   (Followers: 105)
Computer Aided Surgery     Open Access   (Followers: 6)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 16)

        1 2 3 4 5 6 7 | Last

Journal Cover
China Communications
Journal Prestige (SJR): 0.314
Citation Impact (citeScore): 2
Number of Followers: 8  
 
  Full-text available via subscription Subscription journal
ISSN (Online) 1673-5447
Published by IEEE Homepage  [191 journals]
  • Front and back cover
    • Abstract: Presents the front cover for this issue of the publication.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • Artificial intelligence (AI)-driven spectrum management
    • Pages: 1 - 2
      Abstract: Recent advances in communication and networking technologies are leading to a plethora of novel wireless services that range from unmanned aerial vehicle (UAV) communication to smart cognitive networks and massive Internet of Things (IoT) systems. Enabling these emerging applications over the fifth generation (5G) of wireless cellular systems requires meeting numerous challenges pertaining to spectrum sharing and management. In fact, most 5G applications will be highly reliant on intelligent spectrum management techniques, which should adapt to dynamic network environments while also guaranteeing high reliability and high quality-of-experience (QoE). In this context, the use of artificial intelligence (AI) techniques that include deep learning, convolutional neural networks, and reinforcement learning, among many others, is expected to play a very important role in paving the way towards truly AI-driven spectrum management, thus enabling tomorrow's smart city services. Therefore, it has become imperative to investigate and apply AI techniques to solve emerging spectrum management problems in various wireless networks. This includes leveraging AI to address a wide range of wireless networking challenges ranging from network management to dynamic spectrum sharing and resource management.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • A trajectory prediction based intelligent handover control method in UAV
           cellular networks
    • Authors: Bo Hu;Hanzhang Yang;Lei Wang;Shanzhi Chen;
      Pages: 1 - 14
      Abstract: The airborne base station (ABS) can provide wireless coverage to the ground in unmanned aerial vehicle (UAV) cellular networks. When mobile users move among adjacent ABSs, the measurement information reported by a single mobile user is used to trigger the handover mechanism. This handover mechanism lacks the consideration of movement state of mobile users and the location relationship between mobile users, which may lead to handover misjudgments and even communication interrupts. In this paper, we propose an intelligent handover control method in UAV cellular networks. Firstly, we introduce a deep learning model to predict the user trajectories. This prediction model learns the movement behavior of mobile users from the measurement information and analyzes the positional relations between mobile users such as avoiding collision and accommodating fellow pedestrians. Secondly, we propose a handover decision method, which can calculate the users' corresponding receiving power based on the predicted location and the characteristic of air-to-ground channel, to make handover decisions accurately. Finally, we use realistic data sets with thousands of non-linear trajectories to verify the basic functions and performance of our proposed intelligent handover control method. The simulation results show that the handover success rate of the proposed method is 8% higher than existing methods.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • Distributed transmit beamforming for UAV to base communications
    • Authors: Yin Lu;Jun Fang;Zhong Guo;J. Andrew Zhang;
      Pages: 15 - 25
      Abstract: Distributed transmit beamforming (DTB) is very efficient for extending the communication distance between a swarm of UAVs and the base, particularly when considering the constraints in weight and battery life for payloads on UAVs. In this paper, we review major function modules and potential solutions in realizing DTB in UAV systems, such as timing and carrier synchronization, phase drift tracking and compensation, and beamforming vector generation and updating. We then focus on beamforming vector generation and updating, and introduce a concatenated training scheme, together with a recursive channel estimation and updating algorithm. We also propose three approaches for tracking the variation of channels and updating the vectors. The effectiveness of these approaches is validated by simulation results.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • An energy efficient design for UAV communication with mobile edge
           computing
    • Authors: Lingyan Fan;Wu Yan;Xihan Chen;Zhiyong Chen;Qingjiang Shi;
      Pages: 26 - 36
      Abstract: This paper considers a UAV communication system with mobile edge computing (MEC). We minimize the energy consumption of the whole system via jointly optimizing the UAV's trajectory and task assignment as well as CPU's computational speed under the set of resource constrains. To this end, we first derive the energy consumption model of data processing, and then obtain the energy consumption model of fixed-wing UAV's flight. The optimization problem is mathematically formulated. To address the problem, we first obtain the approximate optimization problem by applying the technique of discrete linear state-space approximation, and then transform the non-convex constraints into convex by using linearization. Furthermore, a concave-convex procedure (CCCP) based algorithm is proposed in order to solve the optimization problem approximately. Numerical results show the efficacy of the proposed algorithm.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • MmWave beamforming for UAV communications with unstable beam pointing
    • Authors: Weizhi Zhong;Lei Xu;Qiuming Zhu;Xiaomin Chen;Jianjiang Zhou;
      Pages: 37 - 46
      Abstract: Millimeter wave (mmWave) communications of unmanned aerial vehicles (UAVs) have drawn dramatic attentions for its flexibility on a variety of applications. Recently, channel tracking base on the spatial features has been proposed to solve the problem of beam misalignments due to the UAV navigation. However, unstable beam pointing caused by the non-ideal beam tracking environment may impact the performance of mmWave systems significantly. In this paper, an improved beamforming method is presented to overcome this shortcoming. Firstly, the effect of the beam deviation is analyzed through the establishment of the equivalent data rate. Then, combining the quantification of spatial angle and the improved orthogonal matching pursuit (OMP) algorithm, an optimized beam corresponding to the beam deviation is obtained. Simulation results show that the optimized beam of the proposed approach can effectively improve the spectral efficiency without improving the complexity when the beam pointing is unstable.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • Joint subcarrier and power allocation for Multi-UAV systems
    • Authors: Xin Guan;Yang Huang;Qingjiang Shi;
      Pages: 47 - 56
      Abstract: This paper investigates subcarrier and power allocation in a multi-UAV OFDM system. The study considers a practical scenario, where certain subcarriers are unavailable for dynamic subcarrier allocation, on account of pre-allocation for burst transmissions. We first propose a novel iterative algorithm to jointly optimize subcarrier and power allocation, so as to maximize the sum rate of the uplink transmission in the multi- UAV OFDM system. The key idea behind our solution is converting the nontrivial allocation problem into a weighted mean square error (MSE) problem. By this means, the allocation problem can be solved by the alternating optimization method. Besides, aiming at a lower-complexity solution, we propose a heuristic allocation scheme, where subcarrier allocation and transmit power allocation are separately optimized. In the heuristic scheme, closed- form solution can be obtained for power allocation. Simulation results demonstrate that in the presence of stretched subcarrier resource, the proposed iterative joint optimization algorithm can significantly outperform the heuristic scheme, offering a higher sum rate.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • Pricing based power control for inter-cell UAV-assisted vehicle-to-vehicle
           underlay communication
    • Authors: Qin Wang;Ye Chen;Shu Yin;Lei Tian;Yongan Guo;
      Pages: 57 - 68
      Abstract: The high-capacity vehicle-to-vehicle (V2V) communication provides a promising solution to support ubiquitous media streaming and content sharing among vehicles. To extend the V2V links to multiple cells and manage the inter-cell interference, we proposed an UAV-assisted inter-cell V2V communication model, in which a shared UAV node is placed in the center of V2V users. By charging the V2V users underlay spectrum access fee, the cellular network earn profit at the cost of encountering co-channel interference from V2V links. A Stackelberg game is formulated to model the interactions between the V2V links and the cellular links, which are the game follower and the leader respectively. Their utility functions are maximized in terms of accessing price as well as transmit power of V2V users and UAV relays. Simulation evaluations verify that the power-price tradeoff between V2V network and cellular network has significant potentials to enhance their utility.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • A survey of testing for 5G: Solutions, opportunities, and challenges
    • Authors: Ping Zhang;Xiaoli Yang;Jianqiao Chen;Yuzhen Huang;
      Pages: 69 - 85
      Abstract: With the development of wireless communication technology, the fifth generation mobile communications system (5G) emerges at a historic moment and devotes itself to open the curtain of the information age. Recently, in order to satisfy the requirement of different applications, various advanced 5G technologies have been developed in full swing. However, before applying these 5G related technologies in practical systems, effective testing methods are needed to evaluate these technologies in a real, comprehensive, rapid and flexible manner. However, the testing methods are faced with new challenges along with the continuous development of the new 5G technologies. In this paper, we present a survey of 5G testing, including solutions and opportunities. In particular, two cases are considered, i.e., channel modelling and over- the-air (OTA) testing of antenna systems. Specifically, a non-stationary channel model is proposed to characterize and test massive multiple-input multiple-output (MIMO) channel. In addition, we propose two probe subset selection algorithms for three-dimensional (3D) OTA testing, which minimizes the number of probe antennas while ensuring the accuracy of the target channel emulation. Finally, future research directions and challenges on 5G testing are given.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • VLC-based indoor positioning algorithm combined with OFDM and particle
           filter
    • Authors: Jin Wang;Haoxu Li;Xiaofeng Zhang;Rangzhong Wu;
      Pages: 86 - 96
      Abstract: Visible light communications (VLC) have recently attracted a growing interest and can be a potential solution to realize indoor positioning, however, the performance of existing indoor positioning system is limited by multipath distortion inside a room. In order to combat the effect of multipath distortion, this paper proposes an LED-based indoor positioning algorithm combined with hybrid OFDM (HOFDM), in which asymmetrically clipped optical OFDM (ACO- OFDM) is transmitted on the odd subcarriers while using pulse amplitude modulated discrete multitone (PAM-DMT) to modulate the imaginary part of each even subcarrier. In this scheme, we take a combined approach where a received-signal-strength (RSS) technique is employed to determine the location of the receiver and realize the 3-D positioning by Trust-region-based positioning. Moreover, a particle filter is used to further improve the positioning accuracy. Results confirm that this proposed positioning algorithm can achieve high accuracy even with multipath distortion, and the algorithm has better performance when combined with particle filter.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • Robust beamforming for secured wireless power transfer in MIMO magnetic
           resonant coupling system: A probabilistic approach
    • Authors: Ling Xing;Kaikai Deng;Feifei Gao;
      Pages: 97 - 107
      Abstract: Wireless power transfer (WPT) to support mobile and portable devices is an emerging wireless technique. Among all kinds of approaches, magnetic resonance coupling (MRC) is an excellent one for mid-range WPT, which provides better mobility, flexibility, and convenience due to its simplicity in hardware implementation and longer transmission distances. In this paper, we consider an MRC- WPT system with multiple power transmitters, one intended power receiver and multiple unintended power receivers. We investigate the probabilistic robust beamforming designs and provide efficient algorithms to achieve the local optimums under two different criteria, i.e., total source power minimization problem and min-max unintended receiving power restriction problem. As the problems are quite typical in robust design situations, our proposed robust beamformers can be conveniently applied to other probabilistic robust design problems, thus reduce the complexity as well as improve the beamforming performance. Numerical results demonstrate that the proposed algorithms can significantly improve the performance as well as the robustness of the WPT system.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • An efficient update strategy for content synchronization in
           Content-Centric Networking (CCN)
    • Authors: Nidhi Lal;Shishupal Kumar;Vijay Kumar Chaurasiya;
      Pages: 108 - 118
      Abstract: Content-centric Networking (CCN) is progressively flattering the substitutable approach to the Internet architecture through illuminating information (content) dissemination on the Internet with content forenames. The emergent proportion of Internet circulation has expectant adjusting Content-centric architecture to enhance serve the user prerequisites of accessing content. In recent years, one of the key aspects of CCN is ubiquitous in-network caching, which has been widely received great attention in research interest. One foremost shortcoming of in-network caching is that content producers have no awareness about where their content is put in storage. Because routers in CCN have caching capabilities, therefore, each and every content router can cache the content item in its storage capacity. This is problematic in the case in which a producer wishes to update or make the changes in its content item. In this paper, we present an approach regarding how to address this issue with a scheme called efficient content update (ECU). Our proposed ECU scheme achieves content update via trifling packets that resemble contemporary CCN communication messages with the use of additional table. We measure the performance of ECU scheme by means of simulations and make available a comprehensive exploration of its results.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • Video description with integrated visual and textual information
    • Authors: Yue Wang;Jinlai Liu;Xiaojie Wang;
      Pages: 119 - 128
      Abstract: Video Description aims to automatically generate descriptive natural language for videos. Due to the large volume of multi-modal data and successful implementations of Deep Neural Networks (DNNs), a wide range of models have been proposed. However, previous models learn insufficient linguistic information or correlation between visual and textual modalities. In order to address those problems, this paper proposes an integrated model using Long Short-Term Memory (LSTM). This proposed model consists of triple channels in parallel: a primary video description channel, a sentence-to-sentence channel for language learning, and a channel to integrate visual and textual information. Additionally, the parallel three channels are connected by LSTM weight matrices during training. The VD-ivt model is evaluated on two publicly available datasets, i.e. Youtube2Text and LS-MDC. Experimental results demonstrate that the performance of the proposed model outperforms those benchmarks.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • Defending against link failure in virtual network embedding using a hybrid
           scheme
    • Authors: Jianjian Ai;Hongchang Chen;Zehua Guo;Guozhen Cheng;
      Pages: 129 - 138
      Abstract: Nowadays network virtualization is utterly popular. As a result, how to protect the virtual networks from attacking on the link is increasingly important. Existing schemes are mainly backup-based, which suffer from data loss and are helpless to such attacks like data tampering. To offer high security level, in this paper, we first propose a multipath and decision-making (MD) scheme which applies multipath simultaneously delivery and decision-making for protecting the virtual network. Considering different security requirement for virtual link, we devise a hybrid scheme to protect the virtual links. For the critical links, MD scheme is adopted. For the other links, we adopt the Shared Backup Scheme. Our simulation results indicate the proposed scheme can significantly increase the security level of the critical link high in the loss of less acceptance ratio.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • Improved eigenstructure-based 2D DOA estimation approaches based on
           nyström approximation
    • Authors: Lingwen Zhang;Siliang Wu;Guanze Peng;Wenkao Yang;
      Pages: 139 - 147
      Abstract: In this paper, we propose improved approaches for two-dimensional (2D) direction-of-arrival (DOA) estimation for a uniform rectangular array (URA). Unlike the conventional eigenstructure-based estimation approaches such as Multiple Signals Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), the proposed approaches estimate signal and noise subspaces with Nyström approximation, which only need to calculate two sub-matrices of the whole sample covariance matrix and avoid the need to directly calculate the eigenvalue decomposition (EVD) of the sample covariance matrix. Hence, the proposed approaches can improve the computational efficiency greatly for large-scale URAs. Numerical results verify the reliability and efficiency of the proposed approaches.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • The way to apply machine learning to IoT driven wireless network from
           channel perspective
    • Authors: Wei Li;Jianhua Zhang;Xiaochuan Ma;Yuxiang Zhang;Hua Huang;Yongmei Cheng;
      Pages: 148 - 164
      Abstract: Internet of Things (IoT) is one of the targeted application scenarios of fifth generation (5G) wireless communication. IoT brings a large amount of data transported on the network. Considering those data, machine learning (ML) algorithms can be naturally utilized to make network efficiently and reliably. However, how to fully apply ML to IoT driven wireless network is still open. The fundamental reason is that wireless communication pursuits the high capacity and quality facing the challenges from the varying and fading wireless channel. So in this paper, we explore feasible combination for ML and IoT driven wireless network from wireless channel perspective. Firstly, a three-level structure of wireless channel fading features is defined in order to classify the versatile propagation environments. This three-layer structure includes scenario, meter and wavelength levels. Based on this structure, there are different tasks like service prediction and pushing, self-organization networking, self adapting largescale fading modeling and so on, which can be abstracted into problems like regression, classification, clustering, etc. Then, we introduce corresponding ML methods to different levels from channel perspective, which makes their interdisciplinary research promisingly.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • Machine learning for 5G and beyond: From model-based to data-driven mobile
           wireless networks
    • Authors: Tianyu Wang;Shaowei Wang;Zhi-Hua Zhou;
      Pages: 165 - 175
      Abstract: During the past few decades, mobile wireless communications have experienced four generations of technological revolution, namely from 1G to 4G, and the deployment of the latest 5G networks is expected to take place in 2019. One fundamental question is how we can push forward the development of mobile wireless communications while it has become an extremely complex and sophisticated system. We believe that the answer lies in the huge volumes of data produced by the network itself, and machine learning may become a key to exploit such information. In this paper, we elaborate why the conventional model-based paradigm, which has been widely proved useful in pre-5G networks, can be less efficient or even less practical in the future 5G and beyond mobile networks. Then, we explain how the data-driven paradigm, using state-of-the-art machine learning techniques, can become a promising solution. At last, we provide a typical use case of the data-driven paradigm, i.e., proactive load balancing, in which online learning is utilized to adjust cell configurations in advance to avoid burst congestion caused by rapid traffic changes.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
  • A novel automatic modulation classification method based on dictionary
           learning
    • Authors: Kezhong Zhang;Li Xu;Zhiyong Feng;Ping Zhang;
      Pages: 176 - 192
      Abstract: Automatic Modulation Classification (AMC) is an important technology used to recognize the modulation type. A dictionary set was trained via signals with known modulation schemes in cooperative scenarios. Then we classify the modulation scheme of the signals received in the non-cooperative environment according to its sparse representation. Furthermore, we proposed a novel approach called Fast Block Coordinate descent Dictionary Learning (FBCDL). Moreover, the convergence of FBCDL was proved and we find that our proposed method achieves lower complexity. Experimental results indicate that our proposed FBCDL achieves better classification accuracy than traditional methods.
      PubDate: Jan. 2019
      Issue No: Vol. 16, No. 1 (2019)
       
 
 
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