Energy efficiency of small cell backhaul networks based on Gauss-Markov mobile models

被引:80
|
作者
Ge, Xiaohu [1 ]
Tu, Song [1 ]
Han, Tao [1 ]
Li, Qiang [1 ]
Mao, Guoqiang [2 ,3 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Elect & Informat Engn, Wuhan 430074, Hubei, Peoples R China
[2] Univ Technol Sydney, Sch Comp & Commun, Sydney, NSW, Australia
[3] NICTA, Sydney, NSW, Australia
基金
中国国家自然科学基金;
关键词
D O I
10.1049/iet-net.2014.0081
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To satisfy the recent growth of mobile data usage, small cells are recommended to deploy into conventional cellular networks. However, the massive backhaul traffic is a troublesome problem for small cell networks, especial in wireless backhaul transmission links. In this study, backhaul traffic models are first presented considering the Gauss-Markov mobile models of mobile stations in small cell networks. Furthermore, an energy efficiency model of small cell backhaul networks with Gauss-Markov mobile models has been proposed. Numerical results indicate that the energy efficiency of small cell backhaul networks can be optimised by trade-off the number and radius of small cells in cellular networks.
引用
收藏
页码:158 / 167
页数:10
相关论文
共 50 条
  • [21] GAUSS-MARKOV THEOREM FOR REGRESSION MODELS WITH POSSIBLY SINGULAR COVARIANCES
    ALBERT, A
    SIAM JOURNAL ON APPLIED MATHEMATICS, 1973, 24 (02) : 182 - 187
  • [22] Gauss-Markov Processes for Neuronal Models Including Reversal Potentials
    Buonocore, Aniello
    Caputo, Luigia
    Nobile, Amelia G.
    Pirozzi, Enrica
    ADVANCES IN COGNITIVE NEURODYNAMICS (IV), 2015, : 299 - 305
  • [23] Multiresolution Gauss-Markov random field models for texture segmentation
    Krishnamachari, S
    Chellappa, R
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 1997, 6 (02) : 251 - 267
  • [24] The inefficiency of least squares in Gauss-Markov and variance component models
    Zhan Jinlong
    Chen Jianbao
    Acta Mathematicae Applicatae Sinica, 1998, 14 (2) : 113 - 120
  • [25] An adaptive localization approach for wireless sensor networks based on Gauss-Markov mobility model
    Zhong Z.
    Luo D.-Y.
    Liu S.-Q.
    Fan X.-P.
    Qu Z.-H.
    Zidonghua Xuebao/Acta Automatica Sinica, 2010, 36 (11): : 1557 - 1568
  • [26] Extended Gauss-Markov theorem for nonparametric mixed-effects models
    Huang, SY
    Lu, HHS
    JOURNAL OF MULTIVARIATE ANALYSIS, 2001, 76 (02) : 249 - 266
  • [27] GAUSS-MARKOV ESTIMATION FOR MULTIVARIATE LINEAR MODELS - A COORDINATE FREE APPROACH
    EATON, ML
    ANNALS OF MATHEMATICAL STATISTICS, 1970, 41 (02): : 528 - &
  • [28] MINQUE of Variance-Covariance Components in Linear Gauss-Markov Models
    Peng Junhuan
    Shi Yun
    Li Shuhui
    Yang Honglei
    JOURNAL OF SURVEYING ENGINEERING, 2011, 137 (04) : 129 - 139
  • [29] COMPRESSED SENSING OF GAUSS-MARKOV RANDOM FIELDS WITH WIRELESS SENSOR NETWORKS
    Oka, Anand
    Lampe, Lutz
    2008 IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP, 2008, : 257 - 260