Search Results - "Robust distributed algorithm"

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  1. 1

    Energy efficiency maximization oriented resource allocation in 5G ultra-dense network: Centralized and distributed algorithms by Li, Wei, Wang, Jun, Yang, Guosheng, Zuo, Yue, Shao, Qijia, Li, Shaoqian

    ISSN: 0140-3664, 1873-703X
    Published: Elsevier B.V 01.10.2018
    Published in Computer communications (01.10.2018)
    “…Spurred by both economic and environmental concerns, energy efficiency (EE) has now become one of the key pillars for the fifth generation (5G) mobile…”
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    Journal Article
  2. 2

    Robust Power Control for Amplify-and-Forward Relaying Scheme by Liu, Zhixin, Yuan, Huanhuan, Li, Hongxiang, Guan, Xinping, Yang, Hongjiu

    ISSN: 1089-7798, 1558-2558
    Published: New York IEEE 01.02.2015
    Published in IEEE communications letters (01.02.2015)
    “…Power control problem is investigated for amplify-and-forward cellular relay network in this letter. Since the wireless channels vary with time, we aim at a…”
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    Journal Article
  3. 3

    Robust discrete time dynamic average consensus by Montijano, Eduardo, Montijano, Juan Ignacio, Sagüés, Carlos, Martínez, Sonia

    ISSN: 0005-1098, 1873-2836
    Published: Kidlington Elsevier Ltd 01.12.2014
    Published in Automatica (Oxford) (01.12.2014)
    “…This paper deals with the problem of average consensus of a set of time-varying reference signals in a distributed manner. We propose a new class of discrete…”
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    Journal Article
  4. 4

    Robust distributed multicategory angle-based classification for massive data by Sun, Gaoming, Wang, Xiaozhou, Yan, Yibo, Zhang, Riquan

    ISSN: 0026-1335, 1435-926X
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024
    Published in Metrika (01.04.2024)
    “…Multicategory classification problems are frequently encountered in practice. Considering that the massive data sets are increasingly common and often stored…”
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    Journal Article
  5. 5

    Random distributed multiresolution representations with significance querying by Wang, Wei, Ramchandran, Kannan

    ISBN: 9781595933348, 1595933344
    Published: New York, NY, USA ACM 19.04.2006
    “…We propose random distributed multiresolution representations of sensor network data, so that the most significant encoding coefficients are easily accessible…”
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    Conference Proceeding