基于能量采集的译码转发中继系统功率分配算法

发布时间：2019-04-02 06:28

【摘要】：本文针对基于能量采集的译码转发(DF)中继蜂窝异构网络,提出了一种系统容量最大化的功率分配算法。中继和用户节点均采集由基站发送的射频信号的能量;利用采集到的能量,通过时分多址方式,用户节点经中继将信息发送给基站。在满足中继和用户节点采集能量的因果性限制及总功率受限条件下,构建了系统容量的优化模型。利用拉格朗日乘子法和KKT(Karush-Kuhn-Tucker)最优条件,为使系统容量最大化,对中继和用户功率进行分配;通过等效信道增益,将中继功率和用户功率联合优化问题简化为用户功率优化问题,然后通过次梯度算法获得功率最优解。仿真结果表明,与受限于中继和用户采集能量因果性的用户平均功率算法相比较,本文算法可以提高系统平均容量。
[Abstract]:In this paper, we propose a power allocation algorithm to maximize system capacity for decoding and forwarding (DF) relay cellular heterogeneous networks based on energy acquisition. Both the relay and the user node collect the energy of the radio frequency signal transmitted by the base station, and by using the collected energy, the user node transmits the information to the base station through the time division multiple access (TDMA) mode. The optimization model of the system capacity is constructed under the condition of satisfying the causality limit and total power limitation of the relay and user nodes to collect energy. The Lagrangian multiplier method and KKT (Karush-Kuhn-Tucker) optimal conditions are used to allocate relay and user power to maximize the capacity of the system. Through equivalent channel gain, the joint optimization problem of relay power and user power is simplified to user power optimization problem, and then the power optimal solution is obtained by subgradient algorithm. The simulation results show that the proposed algorithm can improve the average capacity of the system compared with the user average power algorithm, which is limited by relay and user collection energy causality.
【作者单位】：南京邮电大学通信与信息工程学院;
【基金】：国家自然科学基金项目(61571234)
【分类号】：TN929.5

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