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

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Communications and Networking (ChinaCom 2016)

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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.

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Acknowledgement

This work is supported by the National Science and Technology Specific Project of China (2016ZX03001010-004) and the 863 project (2014AA01A701), the special fund of Chongqing key laboratory (CSTC) and the project of Chongqing Municipal Education Commission (Kjzh11206).

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Authors and Affiliations

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

    Mingxue Chen, Yuanpeng Gao, Rong Chai & Qianbin Chen

Authors
  1. Mingxue Chen
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  2. Yuanpeng Gao
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  3. Rong Chai
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  4. Qianbin Chen
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Corresponding author

Correspondence to Mingxue Chen .

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Editors and Affiliations

  1. Post and Telecommunications, Chongqing University, Chongqing, China

    Qianbin Chen

  2. Harbin Institute of Technology (HIT), Harbin, China

    Weixiao Meng

  3. Xidian University, Xi’an, China

    Liqiang Zhao

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, M., Gao, Y., Chai, R., Chen, Q. (2018). An Optimal Joint User Association and Power Allocation Algorithm for Secrecy Information Transmission in Heterogeneous Integrated Networks. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_22

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  • DOI: https://doi.org/10.1007/978-3-319-66628-0_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66627-3

  • Online ISBN: 978-3-319-66628-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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