This paper investigates an anti-interference energy-efficient power allocation scheme in the multi-carrier millimeter-wave (mmWave) ultra-dense networks. To suppress the severe intercell-interference, this work proposes a novel interference minimization scheme based on the non-cooperative game theory for energy-efficiency maximization. In each best response, the non-convex problem is transformed into some convex subproblems, and each is solved by a low-complexity stair water-filling (SWF) algorithm over some subintervals. The interference minimization scheme, together with the SWF algorithm, has been proven to converge to a unique Nash equilibrium point. Simulation results and numerical analysis show that the scheme displays significant energy-efficiency performance advantages over other iterative water-filling methods.

本文研究了多载波毫米波 (mmWave) 超密集网络中的抗干扰节能功率分配方案。为了抑制严重的小区间干扰，这项工作提出了一种基于非合作博弈论的新型干扰最小化方案，以实现能效最大化。在每个最佳响应中，非凸问题被转化为一些凸子问题，每个都通过一些子区间上的低复杂度楼梯充水 (SWF) 算法解决。干扰最小化方案与 SWF 算法一起被证明可以收敛到唯一的纳什均衡点。仿真结果和数值分析表明，与其他迭代注水方法相比，该方案显示出显着的能效性能优势。