Self-Organizing Coalitions for Conflict Evaluation and Resolution in Femtocells

被引:0
|
作者
Garcia, Luis G. U. [1 ]
Costa, Gustavo W. O. [1 ]
Cattoni, Andrea F. [1 ]
Pedersen, Klaus I. [2 ]
Mogensen, Preben E. [1 ,2 ]
机构
[1] Aalborg Univ, Aalborg, Denmark
[2] Nokia Siemens Networks, Aalborg, Denmark
来源
2010 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE GLOBECOM 2010 | 2010年
关键词
Spectrum Sharing; Coalitions; Femtocells; LTE-Advanced; Self-organizing;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The recent introduction of carrier aggregation in LTE-Advanced enables new possibilities in designing frequency domain interference reduction and management schemes. These methodologies are of extreme interest in the case of dense and uncoordinated deployments of femtocells. In such scenarios, dense deployment of cells coupled with the scarcity of frequency resources may lead to a potentially disruptive amount of interference, which severely affects the performance of the system. This contribution presents a novel method inspired by graph and coalitional game theories. The proposed algorithm consists of a set of distributed and scalable rules for building coalitions; these rules essentially resolve the conflicts among avid femtocells competing for a limited amount of resources. The proposed scheme has been designed by targeting localized reconfigurations, thus avoiding reconfiguration storms in the network. Furthermore, the rules governing the resource redistribution ensure overall system performance improvements while maintaining a certain degree of fairness among the competing nodes. Simulation results prove the effectiveness of the proposed method.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] A framework for anonymous but accountable self-organizing communities
    Ziegler, Gabor
    Farkas, Csilla
    Lorincz, Andras
    INFORMATION AND SOFTWARE TECHNOLOGY, 2006, 48 (08) : 726 - 744
  • [22] Self-organizing team formation for target observation
    Bowyer, RS
    Bogner, RE
    SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION X, 2001, 4380 : 339 - 350
  • [23] Review of self-organizing incremental neural network
    Qiu T.-Y.
    Shen F.-R.
    Zhao J.-X.
    Ruan Jian Xue Bao/Journal of Software, 2016, 27 (09): : 2230 - 2247
  • [24] Self-organizing superimposition algorithm for conformational sampling
    Zhu, Fangqiang
    Agrafiotis, Dimitris K.
    JOURNAL OF COMPUTATIONAL CHEMISTRY, 2007, 28 (07) : 1234 - 1239
  • [25] Self-organizing anomaly detection in data streams
    Forestiero, Agostino
    INFORMATION SCIENCES, 2016, 373 : 321 - 336
  • [26] A self-organizing genetic algorithm with a eugenic strategy
    Hwang, KS
    Chiou, JY
    Hsu, YP
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2001, 17 (01) : 35 - 45
  • [27] Self-organizing evaluation model and algorithm for manufacturing cloud services driven by user behavior
    Shenquan Huang
    Yarong Chen
    Hongming Zhou
    Xinjian Gu
    The International Journal of Advanced Manufacturing Technology, 2018, 95 : 1549 - 1565
  • [28] Self-organizing evaluation model and algorithm for manufacturing cloud services driven by user behavior
    Huang, Shenquan
    Chen, Yarong
    Zhou, Hongming
    Gu, Xinjian
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 95 (1-4) : 1549 - 1565
  • [29] Online Classification via Self-Organizing Space Partitioning
    Ozkan, Huseyin
    Vanli, N. Denizcan
    Kozat, Suleyman S.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (15) : 3895 - 3908
  • [30] A self-organizing fuzzy controller for an active vibration suppression
    Huang, SJ
    Huang, KS
    JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING, 2004, 47 (04) : 1156 - 1160