Power Splitting and Virtual Power Allocation for Virtual Cell in Ultra-Dense Networks

Nan Lu, Hongfeng Qin, Changyin Sun, Fan Jiang
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Abstract

In the ultra-dense network scenario, a joint power allocation scheme is proposed to maximize the sum rate of user-centric overlapped virtual cell systems. The optimal power allocation is firstly modeled with hierarchical framework and decomposed into two subproblems: power splitting and virtual power allocation, then it is solved by the alternating iteration between the two subproblems. The power splitting is obtained by an SLNR (signal to leakage plus noise ratio)-based algorithm with the introducing of Lagrangian function, and virtual power allocation is achieved by a binary iterative water-filling algorithm. As the power splitting coefficient takes the form of eigenvector which maximizes SLNR, a balanced effect on signal enhancement and interference reduction is achieved. Simulation results show that the proposed algorithm is superior to conventional power allocation algorithms in performance, as it effectively reduces interference and increases the sum rate of the system.
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超密集网络中虚拟小区的功率划分与虚拟功率分配
在超密集网络场景下,为了使以用户为中心的重叠虚拟小区系统和速率最大化,提出了一种联合功率分配方案。首先采用分层框架对最优功率分配问题进行建模,并将其分解为两个子问题:功率分割和虚拟功率分配,然后在两个子问题之间交替迭代求解。通过引入拉格朗日函数,采用基于信漏加噪声比的SLNR算法实现功率分割,采用二值迭代充水算法实现虚拟功率分配。由于功率分裂系数采用最大单波比的特征向量形式,从而达到了信号增强和干扰抑制的平衡效果。仿真结果表明,该算法有效地减少了干扰,提高了系统的和速率,性能优于传统的功率分配算法。
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