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

机译:异构网络中保密信息传输的最优联合用户关联和功率分配算法

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摘要

In recent years, heterogeneous radio access technologies have experienced rapid development and gradually achieved effective coordination and integration, resulting in heterogeneous networks (HetNets). In this paper, we consider the downlink secure transmission of HetNets where the information transmission from base stations (BSs) to legitimate users is subject to the interception of eavesdroppers. In particular, we stress the problem of joint user association and power allocation of the BSs. To achieve data transmission in a secure and energy efficient manner, we introduce the concept of secrecy energy efficiency which is defined as the ratio of the secrecy transmission rate and power consumption of the BSs and formulate the problem of joint user association and power allocation as an optimization problem which maximizes the joint secrecy energy efficiency of all the BSs under the power constraint of the BSs and the minimum data rate constraint of user equipment (UE). By equivalently transforming the optimization problem into two subproblems, that is, power allocation subproblem and user association subproblem of the BSs, and applying iterative method and Kuhn-Munkres (K-M) algorithm to solve the two subproblems, respectively, the optimal user association and power allocation strategies can be obtained. Numerical results demonstrate that the proposed algorithm outperforms previously proposed algorithms.
机译:近年来,异构无线电接入技术得到了飞速发展,并逐步实现了有效的协调和集成,从而形成了异构网络(HetNets)。在本文中,我们考虑了HetNets的下行链路安全传输,其中从基站(BS)到合法用户的信息传输受到窃听者的拦截。特别地,我们强调BS的联合用户关联和功率分配的问题。为了以安全和节能的方式实现数据传输,我们引入了保密能效的概念,即保密传输率与BS的功耗之比,并提出了联合用户关联和功率分配的问题。在BS的功率约束和用户设备(UE)的最小数据速率约束下最大化所有BS的联合保密能效的优化问题。通过将优化问题等价地转换为基站的功率分配子问题和用户关联子问题两个子问题,分别应用迭代法和库恩-芒克雷斯(KM)算法分别求解两个子问题,即最优用户关联和功率。可以获得分配策略。数值结果表明,提出的算法优于先前提出的算法。

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