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  Subjects -> COMPUTER SCIENCE (Total: 1974 journals)
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    - COMPUTER SCIENCE (1148 journals)
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    - THEORY OF COMPUTING (8 journals)

COMPUTER SCIENCE (1148 journals)                  1 2 3 4 5 6 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 11)
Abakós     Open Access   (Followers: 3)
Academy of Information and Management Sciences Journal     Full-text available via subscription   (Followers: 67)
ACM Computing Surveys     Hybrid Journal   (Followers: 23)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 8)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 13)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 16)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 6)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 11)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 4)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 12)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 3)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 1)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 20)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 9)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 8)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 11)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 21)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Advanced Engineering Materials     Hybrid Journal   (Followers: 25)
Advanced Science Letters     Full-text available via subscription   (Followers: 6)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 8)
Advances in Artificial Intelligence     Open Access   (Followers: 15)
Advances in Artificial Neural Systems     Open Access   (Followers: 4)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 15)
Advances in Computer Science : an International Journal     Open Access   (Followers: 13)
Advances in Computing     Open Access   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 54)
Advances in Engineering Software     Hybrid Journal   (Followers: 25)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 10)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 24)
Advances in Human-Computer Interaction     Open Access   (Followers: 19)
Advances in Materials Sciences     Open Access   (Followers: 16)
Advances in Operations Research     Open Access   (Followers: 11)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Remote Sensing     Open Access   (Followers: 37)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access  
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 6)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
Air, Soil & Water Research     Open Access   (Followers: 7)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 6)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 9)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 3)
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: 2)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 5)
Analysis in Theory and Applications     Hybrid Journal  
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 8)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 6)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 12)
Annual Reviews in Control     Hybrid Journal   (Followers: 6)
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: 2)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 14)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     Hybrid Journal   (Followers: 1)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Computer Systems     Open Access   (Followers: 1)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 31)
Applied Medical Informatics     Open Access   (Followers: 9)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 16)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 4)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 121)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 5)
Asia Pacific Journal on Computational Engineering     Open Access  
Asia-Pacific Journal of Information Technology and Multimedia     Open Access   (Followers: 1)
Asian Journal of Computer Science and Information Technology     Open Access  
Asian Journal of Control     Hybrid Journal  
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
Australian Educational Computing     Open Access  
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 3)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 9)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Basin Research     Hybrid Journal   (Followers: 3)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Bioinformatics     Hybrid Journal   (Followers: 259)
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: 17)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 32)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 45)
British Journal of Educational Technology     Hybrid Journal   (Followers: 123)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 13)
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal  
Cell Communication and Signaling     Open Access   (Followers: 1)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
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: 7)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Full-text available via subscription   (Followers: 12)
Circuits and Systems     Open Access   (Followers: 14)
Clean Air Journal     Full-text available via subscription   (Followers: 2)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 4)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 13)
Communication Methods and Measures     Hybrid Journal   (Followers: 11)
Communication Theory     Hybrid Journal   (Followers: 19)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 3)
Communications of the ACM     Full-text available via subscription   (Followers: 51)
Communications of the Association for Information Systems     Open Access   (Followers: 18)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access  
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: 9)
Computación y Sistemas     Open Access  
Computation     Open Access  
Computational and Applied Mathematics     Hybrid Journal   (Followers: 2)
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: 2)
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: 1)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 8)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 13)
Computational Linguistics     Open Access   (Followers: 23)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 4)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
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: 13)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 28)
Computer     Full-text available via subscription   (Followers: 81)
Computer Aided Surgery     Hybrid Journal   (Followers: 3)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 6)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 7)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 22)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 10)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 1)
Computer Music Journal     Hybrid Journal   (Followers: 13)
Computer Physics Communications     Hybrid Journal   (Followers: 6)
Computer Science - Research and Development     Hybrid Journal   (Followers: 7)
Computer Science and Engineering     Open Access   (Followers: 17)
Computer Science and Information Technology     Open Access   (Followers: 11)
Computer Science Education     Hybrid Journal   (Followers: 12)
Computer Science Journal     Open Access   (Followers: 20)
Computer Science Master Research     Open Access   (Followers: 10)

        1 2 3 4 5 6 | Last

Journal Cover China Communications
  [SJR: 0.231]   [H-I: 9]   [7 followers]  Follow
    
   Full-text available via subscription Subscription journal
   ISSN (Online) 1673-5447
   Published by IEEE Homepage  [191 journals]
  • Cover pages
    • Abstract: Presents the front cover for this issue of the publication.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • The art of power dividing: A review for state-of-the-art planar power
           dividers
    • Authors: Yongle Wu; Lingxiao Jiao; Zheng Zhuang; Yuanan Liu;
      Pages: 1 - 16
      Abstract: In this paper, massive state-of-the-art planar power dividers are presented and discussed. The innovations of these superiorly-performanced power dividers lie in the performance breakthrough, physical configurations and function integrations. Eventually, based on the trend presented, the future of the power dividers is predicted. This paper might have inspiration significance to illuminate the way for the development of power dividers.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Designs of 3D mesh and torus optical Network-on-Chips: Topology, optical
           router and routing module
    • Authors: Lei Guo; Weigang Hou; Pengxing Guo;
      Pages: 17 - 29
      Abstract: As a nanometer-level interconnection, the Optical Network-on-Chip (ONoC) was proposed since it was typically characterized by low latency, high bandwidth and power efficiency. Compared with a 2-Dimensional (2D) design, the 3D integration has the higher packing density and the shorter wire length. Therefore, the 3D ONoC will have the great potential in the future. In this paper, we first discuss the existing ONoC researches, and then design mesh and torus ONoCs from the perspectives of topology, router, and routing module, with the help of 3D integration. A simulation platform is established by using OPNET to compare the performance of 2D and 3D ONoCs in terms of average delay and packet loss rate. The performance comparison between 3D mesh and 3D torus ONoCs is also conducted. The simulation results demonstrate that 3D integration has the advantage of reducing average delay and packet loss rate, and 3D torus ONoC has the better performance compared with 3D mesh solution. Finally, we summarize some future challenges with possible solutions, including microcosmic routing inside optical routers and highly-efficient traffic grooming.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Application of Bayesian compressive sensing in IRUWB channel estimation
    • Authors: Song Liu; Shaohua Wu; Yang Li;
      Pages: 30 - 37
      Abstract: Due to the sparse nature of the impulse radio ultra-wideband (IR-UWB) communication channel in the time domain, compressive sensing (CS) theory is very suitable for the sparse channel estimation. Besides the sparse nature, the IR-UWB channel has shown more features which can be taken into account in the channel estimation process, such as the clustering structures. In this paper, by taking advantage of the clustering features of the channel, a novel IR-UWB channel estimation scheme based on the Bayesian compressive sensing (BCS) framework is proposed, in which the sparse degree of the channel impulse response is not required. Extensive simulation results show that the proposed channel estimation scheme has obvious advantages over the traditional scheme, and the final demodulation performance, in terms of Bit Error Rate (BER), is therefore greatly improved.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Bus arrival time prediction based on mixed model
    • Authors: Jinglin Li; Jie Gao; Yu Yang; Heran Wei;
      Pages: 38 - 47
      Abstract: How to predict the bus arrival time accurately is a crucial problem to be solved in Internet of Vehicle. Existed methods cannot solve the problem effectively for ignoring the traffic delay jitter. In this paper, a three-stage mixed model is proposed for bus arrival time prediction. The first stage is pattern training. In this stage, the traffic delay jitter patterns (TDJP) are mined by K nearest neighbor and K-means in the historical traffic time data. The second stage is the single-step prediction, which is based on real-time adjusted Kalman filter with a modification of historical TDJP. In the third stage, as the influence of historical law is increasing in long distance prediction, we combine the single-step prediction dynamically with Markov historical transfer model to conduct the multi-step prediction. The experimental results show that the proposed single-step prediction model performs better in accuracy and efficiency than short-term traffic flow prediction and dynamic Kalman filter. The multi-step prediction provides a higher level veracity and reliability in travel time forecasting than short-term traffic flow and historical traffic pattern prediction models.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Coverage optimization of LTE networks based on antenna tilt adjusting
           considering network load
    • Authors: NhuQuan Phan; ThiOanh Bui; Huilin Jiang; Pei Li; Zhiwen Pan; Nan Liu;
      Pages: 48 - 58
      Abstract: In this paper, we investigate the coverage optimization for LTE networks considering the network load. The network coverage is defined as the number of served users of evolved Node B (eNB) which is determined by eNBs' antenna tilt angles (ATA). The coverage is optimized by optimizing the number of served users based on the Modified Particle Swarm Optimization (MPSO) algorithm. Simulation results show that both the number of served users by each eNB and the system throughput are significantly increased. As well, the average load and the bandwidth efficiency of the network are improved.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Baseband design for 5G UDN base stations: Methods and implementation
    • Authors: Zhaoyun Cai; Dake Liu;
      Pages: 59 - 77
      Abstract: Baseband design and implementation for micro/pico base stations (mBS) in 5G ultra-dense network (UDN) is studied. Low cost is an essential requirement for mBS baseband in UDN. Digital baseband cost of ASIC/ASIP (Application Specific Integrated Circuit / Instruction-set processor) is of the most uncertainty in mBS system. However, the actual costs and hardware feasibility of the baseband are yet unknown to network deployers and researchers. In this paper, we studied the baseband hardware system design and implementation for low-cost mBS. We analyzed popular baseband algorithms and architectures for both full-digital and hybrid beamforming (BF) for UDN. We then proposed feasible chip-level solutions for the baseband with up to 128-antenna BS system, and estimated their implementation cost. Results show that among full-digital BF algorithms, zero-forcing is a choice of high performance and low cost; for hybrid BF, 4×32 architecture (32 RF chains) provides good reduction in baseband cost with acceptable performance loss, thus it can be a preferable solution under low cost consideration. The proposed system planning method can also be used for the design of other related systems.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Space-time correlation based fast regional spectrum sensing in cognitive
           radio
    • Authors: Sai Huang; Yuanyuan Yao; Zhiyong Feng; Ping Zhang; Yifan Zhang;
      Pages: 78 - 90
      Abstract: In this paper, a space-time correlation based fast regional spectrum sensing (RSS) scheme is proposed to reduce the time and energy consumption of traditional spatial spectrum sensing. The target region is divided into small meshes, and all meshes are clustered into highly related groups using the spatial correlation among them. In each group, some representative meshes are selected as detecting meshes (DMs) using a multi-center mesh (MCM) clustering algorithm, while other meshes (EMs) are estimated according to their correlations with DMs and the Markov modeled dependence on history by MAP principle. Thus, detecting fewer meshes saves the sensing consumption. Since two independent estimation processes may provide contradictory results, minimum entropy principle is adopted to merge the results. Tested with data acquired by radio environment mapping measurement conducted in the downtown Beijing, our scheme is capable to reduce the consumption of traditional sensing method with acceptable sensing performance.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • An efficient CSI feedback scheme for dual-polarized MIMO systems using
           layered Multi-paths Information
    • Authors: Feng Zheng; Yijian Chen; Qian Zhan; Jie Zhang;
      Pages: 91 - 104
      Abstract: Massive MIMO is one of the enabling technologies for beyond 4G and 5G systems due to its ability to provide beamforming gain and reduce interference Dual-polarized antenna is widely adopted to accommodate a large number of antenna elements in limited space. However, current CSI(channel state information) feedback schemes developed in LTE for conventional MIMO systems are not efficient enough for massive MIMO systems since the overhead increases almost linearly with the number of antenna. Moreover, the codebook for massive MIMO will be huge and difficult to design with the LTE methodology. This paper proposes a novel CSI feedback scheme named layered Multi-paths Information based CSI Feedback (LMPIF), which can achieve higher spectrum efficiency for dual-polarized antenna system with low feedback overhead. The MIMO channel is decomposed into long term components (multipath directions and amplitudes) and short term components (multipath phases). The relationship between the two components and the optimal precoder is derived in closed form. To reduce the overhead, different granularities in feedback time have been applied for the long term components and short term components Link and system level simulation results prove that LMPIF can improve performance considerably with low CSI feedback overhead.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Spectral and energy efficiency of downlink MU-MIMO systems with MRT
    • Authors: Weiqiang Tan; Shi Jin; Jide Yuan;
      Pages: 105 - 111
      Abstract: This paper studies the achievable spectral efficiency (SE) of downlink multiuser multiple-input-multiple-output (MIMO) system, where the base station (BS) is deployed an arbitrary finite antenna number and communicates simultaneously with many users. We assume that the BS has accurate channel state information (CSI) and adopt maximum ratio transmission (MRT) precoding. An accurate analytical result for the achievable SE is obtained. Based on the analytical result on the achievable SE, we further study the achievable energy efficiency (EE) of multiuser MIMO system by considering an energy consumption model. Results indicate that the increasing number of BS antennas can boost the achievable SE of system, whilst the achievable SE tends to a saturated rate in the high signal-to-noise ratios (SNR) regime. Furthermore, an important conclusion is that the increasing number of users is beneficial for the achievable EE and there is an optimal antenna number to maximize the EE of system.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Achievable uplink rate analysis for distributed massive MIMO systems with
           interference from adjacent cells
    • Authors: Xiangdong Jia; Mangang Xie; Meng Zhou;Hongbo Zhu; Longxiang Yang;
      Pages: 112 - 123
      Abstract: This work focuses on the multi-cell multi-user distributed massive MIMO (DM-MIMO) systems, of which each user is equipped with single antenna and the base stations (BSs) consists of distributed antenna units. We first investigate the arbitrary BS antenna topology scenario. The derivation indicates that in this case the achievable uplink rate of an arbitrary user in central cell depends on both the number of BS's antennas and the users' access distance to each distributed antenna unit (DAU). As a result, the performance analysis based on the derivations is difficult. To overcome this issue and achieve clearer insight, we then consider a circularly distributed BS antenna array and obtain the asymptotic uplink rate of an arbitrary user by considering the asymptotic case where the number of antennas of BSs tends to infinity. It is achieved that the asymptotic uplink rate only depends on the distance from users' position to the center of reference cell. The presented numerical results show clearly that the distributed massive MIMO systems outperform the centralized ones. Moreover, it is also achieved that the interference from the adjacent cells imposes great impact on system performance. Besides this, in numerical analysis the average asymptotic uplink rate of a user is presented, which is free of the users' position and only depends on the radius of circular antenna arrays. It is achieved the maximum average uplink rate would be achieved when the radius of circularly distributed antenna array goes to its optimization location.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Multi-owner keyword search over shared data without secure channels in the
           cloud
    • Authors: Yilun Wu; Xicheng Lu; Jinshu Su; Peixin Chen; Xiaofeng Wang; Bofeng Zhang;
      Pages: 124 - 133
      Abstract: Searchable encryption allows cloud users to outsource the massive encrypted data to the remote cloud and to search over the data without revealing the sensitive information. Many schemes have been proposed to support the keyword search in a public cloud. However, they have some potential limitations. First, most of the existing schemes only consider the scenario with the single data owner. Second, they need secure channels to guarantee the secure transmission of secret keys from the data owner to data users. Third, in some schemes, the data owner should be online to help data users when data users intend to perform the search, which is inconvenient. In this paper, we propose a novel searchable scheme which supports the multi-owner keyword search without secure channels. More than that, our scheme is a non-interactive solution, in which all the users only need to communicate with the cloud server. Furthermore, the analysis proves that our scheme can guarantee the security even without secure channels. Unlike most existing public key encryption based searchable schemes, we evaluate the performance of our scheme, which shows that our scheme is practical.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Microblog user recommendation based on particle swarm optimization
    • Authors: Ling Xing; Qiang Ma; Ling Jiang;
      Pages: 134 - 144
      Abstract: Considering that there exists a strong similarity between behaviors of users and intelligence of swarm of agents, in this paper we propose a novel user recommendation strategy based on particle swarm optimization (PSO) for Microblog network. Specifically, a PSO-based algorithm is developed to learn the user influence, where not only the number of followers is incorporated, but also the interactions among users (e.g., forwarding and commenting on other users' tweets). Three social factors, the influence and the activity of the target user, together with the coherence between users, are fused to improve the performance of proposed recommendation strategy. Experimental results show that, compared to the well-known PageRank-based algorithm, the proposed strategy performs much better in terms of precision and recall and it can effectively avoid a biased result caused by celebrity effect and zombie fans effect.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • A user participation behavior prediction model of social hotspots based on
           influence and Markov random field
    • Authors: Yunpeng Xiao; Jiawei Lai; Yanbing Liu;
      Pages: 145 - 159
      Abstract: Hotspot topic trends can be captured by analyzing user attributes and historical behavior in social network. In this paper, we propose a user participation behavior prediction model for social hotspots, based on user behavior and relationship data, to predict user participation behavior and topic development trends. Firstly, for the complex factors of user behavior, three dynamic influence factor functions are defined, including individual, peer and community influence. These functions take timeliness into account using a time discretization method. Secondly, to determine laws of individual behavior and group behavior within a social topic, a hotspot user participation behavior prediction model is proposed and associated with the basic concepts of random field and Markov property in information diffusion. The experimental results show that the model can not only dynamically predict the individual behavior, but also grasp the development trends of topics.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Ethics Aware Object Oriented Smart City Architecture
    • Authors: Sahil Sholla;Roohie Naaz;Mohammad Ahsan Chishti;
      Pages: 160 - 173
      Abstract: A novel initiative in providing advanced civic amenities is the idea of smart city driven by the Internet of Things. Owing to a lack of consensus regarding what constitutes a smart city, diverse smart city architectures have been proposed. However, it is observed that adequate consideration is not given to the most important element of a smart city i.e. its people. In our opinion, energy efficient technologically driven city does not necessarily lead to a smart city. Ethics, tradition and law form essential ingredients of complex social palette that cannot be ignored. In this work we propose Ethics-Aware Object-Oriented Smart City Architecture (EOSCA) that has two distinguishing features. Firstly, we propose an object oriented layered architecture where an object represents an abstraction of a real world thing along with requisite security and ethics parameters. Secondly, we propose to integrate socio-cultural and ethical aspects within the smart city architecture by dedicating a separate ethics layer. Such enhancement not only addresses the challenge of privacy and security of a smart city, but also makes it people friendly by incorporating ethics. Such measures would facilitate social acceptance of smart city paradigm and augment its economic value.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • A Reliable Routing Algorithm with Network Coding in Internet of Vehicles
    • Authors: Zhen Wang; Jianqing Li;Manlin Fang;Yang Li; Botao Feng;
      Pages: 174 - 184
      Abstract: The intelligent vehicle network uses advanced information technology to establish an efficient integrated vehicle transport system, which has received great attention in industry and academia. Internet of Vehicles (IoV) in an urban environment is operated in a wireless environment with high bit error rate and interference. In addition, the wireless link between vehicles is likely to be lost. All of this makes it an important challenge to provide reliable mobile routing in an urban traffic environment. In this paper, a reliable routing algorithm with network coding (RR_NC) is proposed to solve the above problems. A routing node sequence is discovered in IoV from source to destination by multi-metric ant colony optimization algorithm (MACO), and then clusters are formed around every node in the sequence. By adding linear encoding into the transmission of data between vehicle's clusters, the RRNC provides much more reliable transmission and can recover the original message in the event of disorder and loss of message. Simulations are taken under different scenarios, and the results prove that this novel algorithm can deliver the information more reliably between vehicles in real-time with lower data loss and communication overhead.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Integration interval determination and decision threshold optimization for
           improved TRPC-UWB communication systems
    • Authors: Zhonghua Liang; Junshan Zang; Xiaojun Yang;Xiaodai Dong; Huansheng Song;
      Pages: 185 - 192
      Abstract: Integration interval and decision threshold issues were investigated for improved transmitted reference pulse cluster (iTRPC-) ultra-wideband (UWB) systems. Our analysis shows that the bit error rate (BER) performance of iTRPC-UWB systems can be significantly improved via integration interval determination (IID) and decision threshold optimization. For this purpose, two modifications can be made at the autocorrelation receiver as follows. Firstly, the IID processing is performed for autocorrelation operation to capture multi-path energy as much as possible. Secondly, adaptive decision threshold (ADT) instead of zero decision threshold (ZDT), is used as estimated optimal decision threshold for symbol detection. Performance of iTRPC-UWB systems using IID and ADT was evaluated in realistic IEEE 802.15.4a UWB channel models and the simulation results demonstrated our theoretical analysis.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Walsh Hadamard transform based transceiver design for SC-FDMA with
           discrete wavelet transform
    • Authors: Arsla Khan;Amna Arif;Tabassum Nawaz;Sobia Baig;
      Pages: 193 - 206
      Abstract: This article proposes a new transceiver design for Single carrier frequency division multiple access (SCFDMA) system based on discrete wavelet transform (DWT). SCFDMA offers almost same structure as Orthogonal frequency division multiple access (OFDMA) with extra advantage of low Peak to Average Power Ratio (PAPR). Moreover, this article also suggests the application of Walsh Hadamard transform (WHT) for linear precoding (LP) to improve the PAPR performance of the system. Supremacy of the proposed transceiver over conventional Fast Fourier transform (FFT) based SCFDMA is shown through simulated results in terms of PAPR, spectral efficiency (SE) and bit error rate (BER).
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
  • Energy-efficient target channel sequence design for spectrum handoffs in
           Cognitive radio networks
    • Authors: Xiaolong Yang;Xuezhi Tan;
      Pages: 207 - 217
      Abstract: Cognitive radio is considered as an efficient way to improve the spectrum efficiency. As one of its key technologies, spectrum handoff can guarantee the transmission continuity of secondary users (SUs). In this paper, we address a new and more generalized spectrum handoff problem in cognitive radio networks (CRNs), by considering simultaneously energy efficiency, multiple spectrum handoffs and multiple channels. Furthermore, effects of the primary users' (PUs') arrival and service rate on the target channel sequence selection are also considered. In order to obtain the energy-efficient target channel sequence, we firstly analyze the energy consumption and the number of delivered bits per hertz in the spectrum handoff process, and formulate a ratio-type energy efficiency optimization problem, which can be transformed into a parametric problem by utilizing fractional programming. Then, we propose an algorithm combining dynamic programming with bisection (DPB) algorithm to solve the energy efficiency optimization problem. Our simulation results verify that the designed target channel sequence has better performance than the existing algorithms in terms of energy efficiency.
      PubDate: May 2017
      Issue No: Vol. 14, No. 5 (2017)
       
 
 
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