Terminal density dependent resource management in cognitive heterogeneous networks

被引:3
|
作者
Zhang, Guobin [1 ]
Liu, Huazhu [1 ]
Lin, Ke [2 ]
Ke, Feng [3 ]
机构
[1] Dongguan Univ Technol, Dongguan 523808, Peoples R China
[2] Techtotop Microelect Technol Corp Ltd Co, Guangzhou 510663, Guangdong, Peoples R China
[3] South China Univ Technol, Guangzhou 510641, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Cognitive heterogeneous networks; Power configuration; Spectrum management; ALLOCATION; RADIO;
D O I
10.1007/s11276-016-1235-x
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In cognitive heterogeneous network, when multitudes of femtocells coexist, effective resource management become important to enhance network performance. Based on the base station location and terminal distribution density, we propose spectrum management and power configuration scheme for femtocells deployment network. In the beginning, we consider two femtocells adjacent network and propose the resource management scheme. The scheme allocates time frequency resource by adopting complete reusing and private usage in non-overlapping and overlapping areas respectively. Subsequently the scheme optimizes base station power under the constraints of cross-tier interference and maximal transmission power to maximize network capacity. According to the analysis of the power variation effect to femtocell coverage, a near-optimal solution of the transmission power is derived, and the corresponding power configuration scheme is proposed. After then we extend the spectrum and power management to multiple femtocells coexisting networks, and propose the management scheme applied for multiple femtocells deployment networks. The simulation results indicate that in capacity performance, the proposed power solution is close to the optimal solution, and the proposed resource management outperforms the existing schemes.
引用
收藏
页码:1509 / 1522
页数:14
相关论文
共 50 条
  • [1] Terminal density dependent resource management in cognitive heterogeneous networks
    Guobin Zhang
    Huazhu Liu
    Ke Lin
    Feng Ke
    Wireless Networks, 2017, 23 : 1509 - 1522
  • [2] Resource Management for Heterogeneous Services in Cognitive Mesh Networks
    Zhou, Ningkai
    Shan, Hangguan
    Huang, Aiping
    Wang, Xin
    2013 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP 2013), 2013,
  • [3] A Hybrid Approach for Radio Resource Management in Heterogeneous Cognitive Networks
    Haddad, Majed
    Elayoubi, Salah Eddine
    Altman, Eitan
    Altman, Zwi
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2011, 29 (04) : 831 - 842
  • [4] Resource allocation and interference management for multi-layer wireless networks in heterogeneous cognitive networks
    Meng, Yun
    Liu, Xinyi
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2019, 2019 (1)
  • [5] Resource allocation and interference management for multi-layer wireless networks in heterogeneous cognitive networks
    Yun Meng
    Xinyi Liu
    EURASIP Journal on Wireless Communications and Networking, 2019
  • [6] Resource Allocation for Heterogeneous Cognitive Radio Networks
    Awoyemi, B. S.
    Maharaj, B. T.
    Alfa, A. S.
    2015 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2015, : 1759 - 1763
  • [7] Resource Management in Dense Heterogeneous Networks
    Kazmi, S. M. Ahsan
    Tran, Nguyen H.
    Ho, Tai Manh
    Oo, Thant Zin
    Tuan LeAnh
    Moon, Seungil
    Hong, Choong Seon
    2015 17TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM APNOMS, 2015, : 440 - 443
  • [8] A resource management tool for heterogeneous networks
    Clematis, A
    Dodero, G
    Gianuzzi, V
    PROCEEDINGS OF THE SEVENTH EUROMICRO WORKSHOP ON PARALLEL AND DISTRIBUTED PROCESSING, PDP'99, 1999, : 367 - 373
  • [9] Cognitive Mobility Management in Heterogeneous Networks
    Mwangoka, Joseph W.
    Marques, Paulo
    Rodriguez, Jonathan
    MOBIWAC 2010: PROCEEDINGS OF THE EIGHTH ACM INTERNATIONAL SYMPOSIUM ON MOBILITY MANAGEMENT AND WIRELESS ACCESS, 2010, : 37 - 44
  • [10] Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks
    Lirio Castellanos-Lopez, S.
    Cruz-Perez, Felipe A.
    Hernandez-Valdez, Genaro
    Rivero-Angeles, Mario E.
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2017,