Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II

Research Article

An Optimal Joint User Association and Power Allocation Algorithm for Secrecy Information Transmission in Heterogeneous Integrated Networks

  • @INPROCEEDINGS{10.1007/978-3-319-66628-0_22,
        author={Mingxue Chen and Yuanpeng Gao and Rong Chai and Qianbin Chen},
        title={An Optimal Joint User Association and Power Allocation Algorithm for Secrecy Information Transmission in Heterogeneous Integrated Networks},
        proceedings={Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II},
        proceedings_a={CHINACOM},
        year={2017},
        month={10},
        keywords={HetNets User association Power allocation Secrecy information transmission Secrecy energy efficiency},
        doi={10.1007/978-3-319-66628-0_22}
    }
    
  • Mingxue Chen
    Yuanpeng Gao
    Rong Chai
    Qianbin Chen
    Year: 2017
    An Optimal Joint User Association and Power Allocation Algorithm for Secrecy Information Transmission in Heterogeneous Integrated Networks
    CHINACOM
    Springer
    DOI: 10.1007/978-3-319-66628-0_22
Mingxue Chen1,*, Yuanpeng Gao1,*, Rong Chai1,*, Qianbin Chen1
  • 1: Chongqing University of Posts and Telecommunications
*Contact email: mingxuechen@outlook.com, gyp2342623@126.com, chairong@cqupt.edu.cn

Abstract

In recent years, radio access technologies have experienced rapid development and gradually achieved effective coordination and integration, resulting in heterogeneous networks (HetNets). User equipments (UEs) located in the overlapping area of various networks of HetNets are capable of selecting the base station (BS) of one network for association and conduct information interaction. In this paper, we study user association and power allocation problem for HetNets with eavesdroppers. To achieve secrecy data transmission in a secret and energy-efficient manner, the concept of joint secrecy energy efficiency of the network is introduced and is defined as the ratio of secrecy transmission rate and the power consumption of the BSs. An optimization problem is formulated which maximizes the joint secrecy energy efficiency under the constraints of maximum power of the BSs and the minimum data rate requirement of the UEs, and the optimal user association and transmit power strategy is obtained through applying iterative algorithm and Lagrange dual method. Numerical results demonstrate the efficiency of the proposed algorithm.