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    MLICOM

    Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

    Along with the fast developing of mobile communications technologies, the amount of high quality wireless services is required and increasing exponentially. According to the prediction of Cisco VNI Mobile Forecast 2016, Global mobile data traffic will increase nearly eightfold between 2015 and 2020…

    Along with the fast developing of mobile communications technologies, the amount of high quality wireless services is required and increasing exponentially. According to the prediction of Cisco VNI Mobile Forecast 2016, Global mobile data traffic will increase nearly eightfold between 2015 and 2020, and mobile network connection speeds will increase more than threefold by 2020. Hence, there are still big gap between the future requirements and current communications technologies, even using 4G/5G. How to integrate the limited wireless resources with some intelligent algorithms/schemes and boost potential benefits are the interests of the conference. As an emerging discipline, machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence, and explores the study and construction of algorithms that can learn from and make predictions on complicated scenarios. In communication systems, the previous/current radio situations and communication paradigms should be well considered to obtain a high quality of service (QoS), such us available spectrum, limited energy, antenna configurations, and heterogeneous properties. Machine learning algorithms facilitate complicated scenarios analysis and prediction, and thus to make an optimal actions in OSI seven layers.

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    Editor(s): Huang Xin-lin (Tongji University)
    Publisher
    Springer
    ISBN
    978-3-319-52730-7
    ISSN
    1867-8211
    Series
    LNICST
    Conference dates
    27th–28th Aug 2016
    Location
    Shanghai, People's Republic of China
    Appeared in EUDL
    2017-02-24
    Appears in
    SpringerLink

    Copyright © 2017–2025 ICST

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    • An Intelligent Mobile Crowdsourcing Information Notification System for Developing Countries

      Research Article in Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

      Arun Singh, YueXin Li, Yu Sun, Qingquan Sun
    • Reducing Calibration Effort for Indoor WLAN Localization Using Hybrid Fingerprint Database

      Research Article in Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

      Mu Zhou, Yunxia Tang, Zengshan Tian, Feng Qiu
    • Optimization of Voiced Excitation Model by MVF Algorithm

      Research Article in Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

      Bing Xue, Xiaoqun Zhao
    • A CRC-Aided LDPC Erasure Decoding Algorithm for SEUs Correcting in Small Satellites

      Research Article in Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

      Hao Zheng, Zinan Song, Shuyi Zhang, Shuo Chai, Liwei Shao
    • An MELP Vocoder Based on UVS and MVF

      Research Article in Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

      Tangle Lu, Xiaoqun Zhao
    • A Machine Learning Based Forwarding Algorithm over Cognitive Radios in Wireless Mesh Networks

      Research Article in Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

      Jianjun Yang, Ju Shen, Ping Guo, Bryson Payne, Tongquan Wei
    • Space-Based Information Integrated Network Technology and Performance Analysis Based on Cognitive Radio

      Research Article in Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

      Shuai Liu, Hu-mei Wang, Shi-tao Wang, Ming-ming Bian
    • Koch Fractal-Based LED Lamp Appearance Design Method

      Research Article in Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

      Xin Cao, Xufen Xie, Weihao Xiao, Nianyu Zou, Xiaoyang He
    • Bandwidth and Power Allocation for Wireless Cognitive Network with Eavesdropper

      Research Article in Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

      Kecai Gu, Weidang Lu, Guomin Zhou, Hong Peng, Zhijiang Xu, Xin Liu
    • Self-similar Traffic Prediction Scheme Based on Wavelet Transform for Satellite Internet Services

      Research Article in Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

      Yu Han, Dezhi Li, Qing Guo, Zhenyong Wang, Deyang Kong
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